Each programme has its own set of courses. Some of these courses are also available for students of other programmes.
Electives
All the courses mentioned below are courses offered by the GSLS and thus no permission is needed to count these courses towards your electives.
Registration procedure
Enrolment for most GSLS Master’s courses is done via a new course registration procedure. Registration for courses will take place via Osiris Student during fixed course enrolment periods. More information can be found here.
Search for courses that
Bio Inspired Innovation
Applied Plant BiologyCourse catalogue code: B-MEAPB
6WKS4.5EC23May202230Jun2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesScience and Business Management, and Bio Inspired Innovation
Short descriptionTo obtain a broad overview and understanding of “the green sector” in the Netherlands and abroad, with the focus on the plant breeding industry and biotechnology, the role of fundamental research therein, and job opportunities for young MSc’s with a plant molecular biology/biotechnology background.
More informationBio Inspired Design ChallengeCourse catalogue code: B-MBIBIDC
12WKS9EC19Sep202209Dec2022MandatoryNo, but we strongly recommend BII students to participate.
Optional for students from other programmesNo.
Short descriptionThis course will teach you to design using the biomimicry design method. The course will have both individual and group work. The course will start with a series of workshops that will get you going in the design process. Gradually during the design process, you will learn to make choices independently as a group based on the progress you make with the design. At the end of the course, groups deliver a conceptual design embedded in a report, supported by a video pitch and poster presentation. You learn how to produce a report that informs designers and engineers on how to materialize the biology embedded in the design.
More informationBioinspiration & Value CreationCourse catalogue code: B-MBIVA
9WKS7.5EC12Sep202211Nov2022MandatoryYes.
Optional for students from other programmesNo.
Short description* Every Tuesday and Thursday afternoon in period 1.
The aim of the course is to introduce you to bio inspired approaches and the philosophy behind it. In addition, you will learn and apply a Life Cycle Analysis (LCA), construct a Business Model Canvas (BMC) and perform an Ecological Quick Scan. This will help you to function in a multidisciplinary team as a biologist at a design and innovation table.
More informationIntegrative Bio-Inspired Design: the System LevelCourse catalogue code: B-MIBID
2MO7.5EC14Nov202203Feb2023MandatoryYes.
Optional for students from other programmesNo.
Short descriptionIn this course, you will learn how to design (parts of) a system using bio-inspired design methods & techniques.
You will receive workshops to practice the use of bio-inspired techniques and apply these to a specific design case.
You will work together in groups of about 4 people with different educational backgrounds.Over the course we will pay attention to nature-inspired techniques for design and evaluation of design, including design principles, roadmapping, circular BMC and surrounding scans.
More informationPlant Microbe InteractionsCourse catalogue code: B-MEPMI
2WKS3EC07Feb202218Feb2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesYes.
Short descriptionPlant-microbe interactions will be introduced in a general lecture, highlighting recent developments and the importance of the reviewing process. For a set of recent manuscripts the students will act as reviewers and editors following the format provided by high standard international journals. Editor decisions will be presented and discussed.
More information
Biofabrication
Introduction to BiofabricationCourse catalogue code: BMB502415
9WKS15EC12Sep202211Nov2022MandatoryFor BIFM students.
You are registered automatically upon enrolment in the Master’s programme Biofabrication.
Optional for students from other programmesNo.
Short descriptionIn this obligatory course you will be introduced to all topics within biofabrication and regenerative medicine to provide you with a broad basic knowledge on the theoretical background, current status and future perspectives of the field. Besides the theoretical parts, you will work in teams on literature presentations and on creating your own research proposal.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationVascularized Tissue Engineering (online course)Course catalogue code: BMB507319
10WKS3EC07Feb202224Apr2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionTissue engineering (TE) is an ever-growing multidisciplinary scientific field aiming at replacing injured, missing or damaged tissue. This course teaches Master students’ in-depth and hands-on knowledge on developmental and adult blood vessel formation in health and disease and the current clinical treatments for which vascular(ized) TE is thought to be eligible. Moreover, we will address state of the art techniques of vascular(ized) TE, including the use of biomaterials and cell sources for bioreactor-cultured and in situ applications.
Please note:
This is an online course stretching over 7 weeks with a study load of approximately 9-10 hours per week. Please take into account that the studyload is divided over the week so you will need to be able to login on various moments (taking into account vacation days).
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 32 students.
Students from outside Utrecht University can register for this course by sending an email to m.m.krebber-2@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More information
Bioinformatics and BioComplexity
Advanced Bioinformatics: Data mining and data integration for LSCourse catalogue code: BMB502114
1WKS1.5EC09Jan202313Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionEffective mining and integration of data is one of the major challenges in biomedical research. Decades of research led to numerous databases, including important resources such as NCBI, SWISS-PROT and ENCODE. Here we outline current data integration challenges in biology and biomedical research and discuss state-of-the-art approaches for tackling these challenges.
Due to limited capacity, Master students with the Bioinformatics Profile will receive preferred placement in this course.
More informationAdvanced Omics for Life SciencesCourse catalogue code: BMB502316
1WK1.5EC20Feb202324Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionCourse moved to Period 3.
Effective mining and integration of omics data is an important part of biomedical research. Decennia of research led to numerous tools and databases, including prominent resources such as the HumanProteinAtlas and ENCODE. Here we outline current data processing and integration methods within omics research and discuss state-of-the-art data analysis.
More informationAdvanced R for Life SciencesCourse catalogue code: B-MADR19
2WK3EC31Oct202211Nov2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionMany researchers will need to apply statistical analysis in their work. Often, the R statistical language is chosen, since it is well established, free, and has many packages available for different tasks. If you want to be able to use the more powerful features of R, create visually attractive figures with ggplot, write concise and organized code that you can share with others, create automatically generated reports. This course gives you the knowledge to follow one of the subsequent courses of statistical analysis for omics technologies, and linear models with R.
More informationAnalytics and Algorithms for Omics DataCourse catalogue code: BMB508219
2WKS3EC20Mar202331Mar2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course is aimed at master and PhD students who want to understand and design data analytic methods for interpretation of genome-wide biological data (i.e. Omics data). (This course can also be followed as part of the UBC/GSLS Bioinformatics Profile).
Registration:
Bioinformatics Profile students will have priority when this course is followed as a part of their profile. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 20 participants is reached.
More informationBasic Machine LearningCourse catalogue code: B-MBIOBMLB
2WKS3ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short descriptionModern biology is largely a data-driven enterprise. We collect genomic information on thousands of patients and matched controls to find genomic causes for illness using GWAS, easily collect expression of (tens of) thousands of genes at different time points and under different experimental conditions to understand what makes a system tick, and with the rise of single-cell omics the datasets are larger and more specific than ever before. Our minds are formidable pattern recognition devices, but they are biased in various ways and not equipped for these huge datasets. How can we use all this data to build good predictive models, or automatically order data so that we can gain new insights?
Enter Machine Learning. In this course, we start with the basics: what is the difference between supervised and unsupervised learning, how do we formulate something that the computer can optimise on its own given training data, and how do we then iteratively optimise this? With these basics of cost functions and gradient descent under our belt, we then look at several well-known algorithms and implement them ourselves using only Python, numpy and pandas to gain in-depth understanding in the first week, before moving on to the modern scikit-learn library which does all the heavy lifting for you in the second week. We top it off with a group project on a biological dataset where your team tries to build the best classifier for that dataset. Along the way we look at clustering and dimensionality reduction, and gain cursory knowledge of linear algebra, which is the language that machine learning algorithms are formulated in and which you will use to do so as well.
When you are done with this course, you should be well-equipped to independently learn about more complex classifiers (Random Forests, convolutional neural networks, etc.) or unsupervised methods, and to apply ML to real-world biological problems. This course also lays the foundations for the more theoretical and higher-level understanding you’ll gain in Analytics and Algorithms for Omics Data (BMB508219).More informationBiBC EssentialsCourse catalogue code: B-MBIOCES
6WKS4.5EC12Sep202221Oct2022MandatoryYes, for BIBC students.
In addition to this, students need to choose Biological Modeling or Bioinformatics and Genomics as well as one or more courses of at least 5.5 EC from the programme's selection of elective courses.
Optional for students from other programmesYes.
Short descriptionDuring this course, the emphasis will be on the essential abilities and knowledge that is required to be able to become a skilful bioinformatics researcher. A broad range of topics, varying from computer skills and programming, data analysis and visualisation to computational algorithms, will be addressed and put into perspective using real-world biological research questions and problems.
More informationBioinformatics and Evolutionary GenomicsCourse catalogue code: B-MBIEG06
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionConstruct, root and interpret phylogenetic trees; for a given protein, find its homologs, annotate its protein domains, time its duplications, define its orthologs, pinpoint its origin.
More informationBioinformatics and GenomicsCourse catalogue code: B-MBIOGEN
6WKS5EC12Sep202221Oct2022MandatoryYes, for BIBC students. Students select between this course or Biological Modeling.
In case students have already attended the courses (or similar to) Biological Modelling AND Bioinformatics and Genomics in their Bachelor's programme they can start with their 51 EC major research project and substitute these ECs by a selection of equal number ECs from the additional/elective bioinformatics courses.
Short descriptionIn this course, attention is paid to understanding and working with large amounts of data as has been obtained in recent years in many genetic and molecular research. These technological developments require new skills and concepts to be able to understand and conduct life science research. In two parts, we work successively with mutations and sequencing data, the regulation network is studied and how the consequence of mutations in proteins can be better explained through evolution.
More informationBiological ModelingCourse catalogue code: B-MBIMOD
6WKS5EC14Nov202203Feb2023MandatoryYes, for BIBC students. Students select between this course or Bioinformatics and Genomics.
In case students have already attended the courses (or similar to) Biological Modelling AND Bioinformatics and Genomics in their Bachelor's programme they can start with their 51 EC major research project and substitute these ECs by a selection of equal number ECs from the additional/elective bioinformatics courses.
Optional for students from other programmesYes.
Short descriptionThe course covers a large number of mathematical models to show how one can describe and understand the dynamics of biological populations. Examples of this population dynamics are: ecological food chains, epidemiological models, bacteria infected by phages and populations of cells. Students are made familiar with the preparation and analysis of mathematical models.
More informationCancer GenomicsCourse catalogue code: BMB521219
2WKS3EC06Feb202317Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionIn this course the students will get familiar with current bioinformatics tools to detect, visualize and interpret genomic alterations in tumors. Current advances in cancer genomics research will be presented in guest lectures and paper discussions.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 30.
More informationIntroduction to Biological ModelingCourse catalogue code: B-MBIOINBM
6WKS5EC12Sep202221Oct2022MandatoryYes.
Optional for students from other programmesYes.
Short descriptionThe modeling of real biological systems can aid greatly in the understanding of the behavior of such systems, and in predicting how they will behave under all kinds of circumstances. In this course, we will study how to build models using differential equations, and how to analyze their behavior.
We will use a context of diverse examples from biology, including ecological growth, predator-prey systems, enzyme reactions, genetic regulation, animal coat patterns, and firing neurons.
Models are built from the ground up, using biological knowledge and mathematical tools, enabling the students to gain the experience necessary to build their own models, analyze them, and valuate their worth.
More informationIntroduction to Research Data Management for Life SciencesCourse catalogue code: B-MINRDM
2WKS3ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short description*This is an e-learning course, which can be followed any moment through the year.*
The course Introduction to Research Data Management gives practical insights on Data Management for scientists. Basic knowledge of relational databases, entity-relationships models, relational models and SQL with MySQL is provided during the course. The programming language used to process data from and to the database is Python.
More informationMaster level Computational BiologyCourse catalogue code: B-MCOBI17
10WKS7.5EC06Feb202307Apr2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionDuring the course, the emphasis will be on composing and analysing exact models based on specific hypotheses. The results of the analyses offer an understanding of the original biological system. The models studied address fundamental questions from a variety of biological fields.
More informationMicrobial GenomicsCourse catalogue code: B-MBIMIGE
3wks4.5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, especially for ENVB students.
Short descriptionIn this course you will learn how to analyse genome data of individual microbes, but also of microbial communities (metagenomics).
More informationStructural Bioinformatics & ModellingCourse catalogue code: SK-MCBIM21
2WKS4.5EC16Jan202303Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionComputational structural biology is a mature field of research whose contribution to life sciences is becoming increasingly more appreciated. The aim of this course is to provide a solid basis of computational structural biology methods, with an emphasis on practical protein modelling and simulation, to interested MSc and PhD students in the life sciences. Further, given the lack of emphasis on practical computational research in MSc and PhD courses, this course is designed to have a smooth learning curve regarding the GNU/Linux environment and its command-line interface. By the end of the course, the students are expected to master the three major computational structural biology methods – homology modelling, molecular dynamics, and protein docking – not only from a user perspective but also from a theoretical standpoint.
More information
Biology of Disease
Biology of Disease - Infection and Immunity Course catalogue code: BMB501103
2WKS3EC26Sep202207Oct2022MandatoryFor BoD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses
Optional for students from other programmesYes, except for I&I students.
Short descriptionStarting with clinical cases, the pathophysiology of infectious and immune diseases will be presented. New concepts and therapies will be discussed.
Registration
Please send an overview of your previous knowledge in I&I to secretary.iimaster@umcutrecht.nl and register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.The maximum number of participants is 45.
More informationBiomolecular and Cellular CardiologyCourse catalogue code: BMB403905
2WKS3EC28Nov202209Dec2022MandatoryFor BoD students**
**This course is one of the specific cardiovascular BoD-courses. Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, for students with cardiovascular interest.
Short descriptionThis course covers different molecular and cellular approaches applied in the study of the healthy and diseased heart. With respect to cardiac disease, topics that will be discussed include sex differences, microRNA expression, adrenergic signalling, and calcium regulation. Moreover, the molecular basis of arrhythmias (either inherited or acquired) will be featured from different view points as well.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide. The maximum number of participants is 50.
More informationCardiac Regenerative MedicineCourse catalogue code: BMB580117
2WKS3EC06Feb202317Feb2023MandatoryFor BoD students**
** This course is one of the specific cardiovascular BoD-courses. Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes. RMT and BoD students have priority for enrollment.
Short descriptionStudents are familiarised with regenerative medicine in cardiac diseases. Topics include cardiac development, reprogramming, and RM treatment options. In addition, students are introduced in the interpretation and processing of study data, and get acquainted with the impact of research on society, in particular on patients.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationCardiovascular ImmunologyCourse catalogue code: BMB509113
2WKS3EC13Jun202224Jun2022This course is also taught from12 Jun 2023 till 23 Jun 2023
MandatoryFor BoD students**
** This course is one of the specific cardiovascular BoD-courses. Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes.
Short descriptionIn this course, we focus on the role of the immune system in atherosclerotic disease and manifestations of this disease like myocardial infraction. Special attention will be given to the different types of immune cells and their role in atherosclerosis, plaque rupture and acute coronary syndrome.
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide. The maximum of participants is 40. Prioritisation of acceptance is based on:
- Students from abroad
- BoD students that follow the cardiovascular track
- Other BoD students
- GSLS students
- Students from other Dutch universities
More informationEssentials of NeuroscienceCourse catalogue code: BMB416005
2WKS3EC07Nov202220Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course is intended for non-neuroscience master students who would like to get more background in neuroscience. The lectures during the course cover a broad range of neuroscience topics from gene to neurological disease.
Registration
Please be aware this course code is offered online as well. For this Face-2-Face version be sure to select the correct Block: BMS_P1_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEssentials of Neuroscience (online course)Course catalogue code: BMB416005
9WKS3EC16Jan202327Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course gives you a unique opportunity to study the state of the art insights in Neurosciences, discover the research strengths of UMC Utrecht and experience our educational philosophy.
Registration:
Please be aware this course code is offered face-2-face as well. For this Online version be sure to select the correct Block: BMS_P2_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the Graduate School of Life Sciences can register for this course by sending an email to L.vanOudenaarden@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationKick off Biology of DiseaseCourse catalogue code: BMB510817
2WKS3EC12Sep202223Sep2022MandatoryYes, BIDM students are automatically enrolled for this course upon entering the programme.
Optional for students from other programmesNo.
Short descriptionYou are in your first weeks of Biology of Disease, the starting point of your science-related career. How will you prepare for this career? What do you need to know, develop, and learn to become successful in this science-related world? Together with your fellow BioD-ers you will think about these questions.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationMedical PhysiologyCourse catalogue code: BMB506213
9WKS3EC05Sep202211Nov2022MandatoryOnly the BoD students with a deficient background knowledge in the course subject will be invited to follow this course.
Optional for students from other programmesYes.
Short descriptionIn this course physiology and pathophsyiology of organs (heart, vasculature and kidney) are taught including their relations and interactions.
This course is a self-regulated learning course. Meaning that students need to acquire knowledge that is provided in online lectures and in the study book. Students apply this knowledge to written assignments that are available on blackboard.
The exam is scheduled in November 2022. The exact date and type of assessment will be announced on Blackboard.
More informationMetabolic Pathways: From Cell to DiseaseCourse catalogue code: BMB501314
2WKS3EC06Feb202317Feb2023MandatoryCSDB: can be part of the 15 EC Theoretical Courses
BOD: can be part of the 15 EC Theoretical Courses (BoD students should accomplish 12 EC with specific BoD courses) only when you do not participate in the Track Cardiovascular Research (CVR). When you do participate in this track, this course can only be used as an Elective.Optional for students from other programmesYes, but only when the maximum enrolment of 40 has not yet been reached.
Short descriptionThis course focuses on endocrine and metabolic processes, and in particular their dysregulation in cancer and type 2 diabetes mellitus. Lectures and tutorials in the first week discuss the molecular mechanisms in the liver, pancreas, brain and fat tissue that are involved in regulating glucose and fat homeostasis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
CS&D students (max. 20) and Biology of Disease students (max. 20) and other GSLS students.
More informationPathologyCourse catalogue code: BMB507310
8WKS3EC05Sep202211Nov2022MandatoryNo. Only for selected BOD students. Please contact dr. N. Bovenschen.
Optional for students from other programmesNo.
Short descriptionThis course will offer a mix of General Pathology and Specific (organ-related) Pathology. The four major subjects are Cell pathology, Inflammation, Tumors, and Cardiovascular pathology.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationThrombosis and HaemostasisCourse catalogue code: BMB508212
2WKS3EC14Nov202225Nov2022MandatoryFor BoD students**
**This course is one of the specific cardiovascular BoD-courses. Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes. Admission of other students depends on their previous training.
Short descriptionThe course will elaborate on the mechanisms that prevent bleeding after injury (haemostasis) and the role of these mechanisms in the etiology of arterial and venous thrombosis. The biology of coagulation and the interaction between the vascular wall and circulating blood (cells) will be explained.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationVascularized Tissue Engineering (online course)Course catalogue code: BMB507319
10WKS3EC07Feb202224Apr2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionTissue engineering (TE) is an ever-growing multidisciplinary scientific field aiming at replacing injured, missing or damaged tissue. This course teaches Master students’ in-depth and hands-on knowledge on developmental and adult blood vessel formation in health and disease and the current clinical treatments for which vascular(ized) TE is thought to be eligible. Moreover, we will address state of the art techniques of vascular(ized) TE, including the use of biomaterials and cell sources for bioreactor-cultured and in situ applications.
Please note:
This is an online course stretching over 7 weeks with a study load of approximately 9-10 hours per week. Please take into account that the studyload is divided over the week so you will need to be able to login on various moments (taking into account vacation days).
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 32 students.
Students from outside Utrecht University can register for this course by sending an email to m.m.krebber-2@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More information
Cancer, Stem Cells and Developmental Biology
Advanced Bioinformatics: Data mining and data integration for LSCourse catalogue code: BMB502114
1WKS1.5EC09Jan202313Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionEffective mining and integration of data is one of the major challenges in biomedical research. Decades of research led to numerous databases, including important resources such as NCBI, SWISS-PROT and ENCODE. Here we outline current data integration challenges in biology and biomedical research and discuss state-of-the-art approaches for tackling these challenges.
Due to limited capacity, Master students with the Bioinformatics Profile will receive preferred placement in this course.
More informationAdvanced Omics for Life SciencesCourse catalogue code: BMB502316
1WK1.5EC20Feb202324Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionCourse moved to Period 3.
Effective mining and integration of omics data is an important part of biomedical research. Decennia of research led to numerous tools and databases, including prominent resources such as the HumanProteinAtlas and ENCODE. Here we outline current data processing and integration methods within omics research and discuss state-of-the-art data analysis.
More informationAdvanced R for Life SciencesCourse catalogue code: B-MADR19
2WK3EC31Oct202211Nov2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionMany researchers will need to apply statistical analysis in their work. Often, the R statistical language is chosen, since it is well established, free, and has many packages available for different tasks. If you want to be able to use the more powerful features of R, create visually attractive figures with ggplot, write concise and organized code that you can share with others, create automatically generated reports. This course gives you the knowledge to follow one of the subsequent courses of statistical analysis for omics technologies, and linear models with R.
More informationAnalytics and Algorithms for Omics DataCourse catalogue code: BMB508219
2WKS3EC20Mar202331Mar2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course is aimed at master and PhD students who want to understand and design data analytic methods for interpretation of genome-wide biological data (i.e. Omics data). (This course can also be followed as part of the UBC/GSLS Bioinformatics Profile).
Registration:
Bioinformatics Profile students will have priority when this course is followed as a part of their profile. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 20 participants is reached.
More informationBioinformatics in NeuroscienceCourse catalogue code: BMB508117
2WKS3EC22Nov202103Dec2021MandatoryNo.
Optional for students from other programmesYes.
Short descriptionEvery day one lecture followed by hands-on computer practical; each day finishes with a keynote lecture.
During the course there is an assignment with a final presentation (which will be assessed) and an exam.
This course provides an overview of multiple genetic tools used by neuroscientists, including: brain atlases, analysis of pathways and gene sets, GWAS/WebQTL/Phenotype analysis; (single cell) RNAseq, imaging genetics and connectomics.
Central theme: neurological and psychiatric diseasesRegistration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationCancer GenomicsCourse catalogue code: BMB521219
2WKS3EC06Feb202317Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionIn this course the students will get familiar with current bioinformatics tools to detect, visualize and interpret genomic alterations in tumors. Current advances in cancer genomics research will be presented in guest lectures and paper discussions.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 30.
More informationCell Organisation in Health and DiseaseCourse catalogue code: BMB436006
1WK1.5EC20Mar202324Mar2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course allows students to acquire basic and advanced knowledge on membrane traffic and its relationship to disease and development, and ask the students to focus on the membrane traffic defect(s) in a given disease.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationChromosome Instability in CancerCourse catalogue code: BMB404107
1WK1.5EC23Jan202327Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course will address the molecular basis for correct chromosome segregation during cell division. Defects in this process give rise to aneuploidy and many contribute to carcinogenesis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 30.
More informationConcepts in Cancer BiologyCourse catalogue code: BMB400306
1WK1.5EC31Oct202204Nov2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis (combined AIO - Master students) course features a number of seminars by renowned scientists in the field of Signal Tranduction in Cancer Biology
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationDevelopmental GeneticsCourse catalogue code: BMB506508
1Week1.5EC17Apr202321Apr2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe course aims to provide an understanding of concepts of developmental biology and genetic analysis. In addition, the course teaches a variety of skills, including critical reading and group discussions. Having completed a Bachelor’s level genetics course is required. This course is an advanced genetics course.
Registration
Arrangements have been made to accomodate that this course can be attended if you also attend the course Introduction to Bioinformatics for Life Sciences.More informationDigital pictures: Data Integrity and DisplayCourse catalogue code: BMB507009
2DAYS1EC08May202309May2023This course is also taught from11 May 2023 till 12 May 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionIn this course we will focus on what you can do and what you shouldn’t do to get the best representation of your digital image without altering the actual data. The course will be given in an interactive way, with time for practice.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 25.
More informationGene Expression, Epigenetics and DiseaseCourse catalogue code: BMB509413
2WKS3EC09Jan202320Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course will teach the crucial concepts of regulation of gene expression, with a focus on the process of transcription at the molecular level, but also including concepts derived from cellular, developmental and disease states.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 40.
More informationIntroducing Cancer, Stem Cells & Developmental BiologyCourse catalogue code: BMB505416
2WKS3EC12Sep202223Sep2022MandatoryYes for new CSDB students.
Optional for students from other programmesNo.
Short descriptionThis course provides the students with a broad overview and background in all research topics, techniques and model systems that represent the research school “Cancer, Stem Cells & Developmental Biology”.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationIntroduction to Bioinformatics for Life SciencesCourse catalogue code: B-MINBI19
3WKS4.5EC17Oct202204Nov2022MandatoryNo.
Optional for students from other programmesYes, especially NSCN and ENVB (Behavioural Ecology).
Short descriptionThis course can be considered a general introduction to bioinformatics and provides an overview of the importance of bioinformatics in various biological disciplines, with a focus on the research that is performed at Utrecht University. The theory and tools for bioinformatics provided are very useful for any life science researcher.
More informationIntroduction to Biomolecular Mass SpectrometryCourse catalogue code: SK-MBAPBMS
1WK1.5EC09May202217May2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis one-week course aims to give an overview of techniques used in proteomics, particularly mass spectrometry, along with examples of their application to biological research.
More informationIntroduction to Python for Life SciencesCourse catalogue code: BMB465019
2WK3EC12Sep202223Sep2022This course is also taught from06 Feb 2023 till 17 Feb 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course is aimed at Master and PhD students who want to explore computer-assisted methods for interpretation of biological data and develop their programming skills.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
CS&D and MCLS students have priority to this course. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 45 participants is reached.
More informationIntroduction to R for Life SciencesCourse catalogue code: BMB502219
2WK3EC03Oct202214Oct2022This course is also taught from06 Mar 2023 till 17 Mar 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to give a basic training in R for Life Sciences students. R is a programme for statistical analysis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 45 students per course.
More informationIntroduction to Research Data Management for Life SciencesCourse catalogue code: B-MINRDM
2WKS3ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short description*This is an e-learning course, which can be followed any moment through the year.*
The course Introduction to Research Data Management gives practical insights on Data Management for scientists. Basic knowledge of relational databases, entity-relationships models, relational models and SQL with MySQL is provided during the course. The programming language used to process data from and to the database is Python.
More informationIntroduction to Stem CellsCourse catalogue code: BMB509018
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes. Registrations from Master and PhD students of the CSDB and RMT programs will be considered first.
Short descriptionThis course will address both fundamental mechanisms regulating stem cell function as well as considerations concerning the use of stem cell therapies in the clinic.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 60 students.
More informationMetabolic Pathways: From Cell to DiseaseCourse catalogue code: BMB501314
2WKS3EC06Feb202317Feb2023MandatoryCSDB: can be part of the 15 EC Theoretical Courses
BOD: can be part of the 15 EC Theoretical Courses (BoD students should accomplish 12 EC with specific BoD courses) only when you do not participate in the Track Cardiovascular Research (CVR). When you do participate in this track, this course can only be used as an Elective.Optional for students from other programmesYes, but only when the maximum enrolment of 40 has not yet been reached.
Short descriptionThis course focuses on endocrine and metabolic processes, and in particular their dysregulation in cancer and type 2 diabetes mellitus. Lectures and tutorials in the first week discuss the molecular mechanisms in the liver, pancreas, brain and fat tissue that are involved in regulating glucose and fat homeostasis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
CS&D students (max. 20) and Biology of Disease students (max. 20) and other GSLS students.
More informationModel Organisms Course catalogue code: BMB505316
1WK1.5ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short descriptionNot taught in 2022/2023
Genetic analysis in model organisms is a powerful approach to gain detailed insight into biological processes. In this course, we will highlight five different model organisms that cover different aspects of biomedical research and provide a basic understanding of genetic analysis in these model systems.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum participants is 25 students
More informationZebrafish in Development, Organogenesis and DiseaseCourse catalogue code: BMB451007
1WK1.5ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short descriptionPlease Note: Zebrafish in Development, Organogenesis and Disease is given once every 2 years. Not taught in 2022/2023
This course will focus on five specific areas of current zebrafish research, angiogenesis and bone development, signal transduction pathways in body formation, the role of microRNAs in embryogenesis, heart development, and use of the zebrafish as a cancer model.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More information
Drug Innovation
Advanced Organic SynthesisCourse catalogue code: SK-MOSS
10WKS7.5EC24Apr202307Jul2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to provide students with state-of-the-art knowledge of interest for the construction of complex organic molecules and architectures. Examples of systems of relevance for advances catalysis, the material sciences and the life sciences will be discussed and studied in detail. Intimately related to these objectives is the introduction of the students to advanced models required for the planning of complex multi-step syntheses (strategies), the interpretation of experimental data, the elucidation of underlying reaction mechanisms, stereochemical consequences, etc.
More informationChemical BiologyCourse catalogue code: FA-450
6WKS7.5EC13Mar202321Apr2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe field of chemical biology lies at the interface of chemistry and biology. It uses chemistry, chemical principles, and notably molecules to study and solve important issues in biology. The course will focus on chemical and biological syntheses and behaviours of relevant molecules for chemical biology, primarily carbohydrates, peptides and nucleic acids, as well as their uses in addressing biological questions. Bio-orthogonal reactions and the use of the compounds derivatized as chemical probes will also be discussed. This course will also have an emphasis on critical reading of recent literature and presentation on this to the group.
More informationDesign of Anti-Infective DrugsCourse catalogue code: DI-FA-442
6WKS6EC24Apr202302Jun2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionAre we in danger of falling back to the pre-antibiotic era? Can we deal with epidemics/pandemics of Ebola, Zika, Corona and Influenza virus? When will parasitic diseases like Malaria and Schistosomiasis be eliminated? What can you do yourself? These questions will be addressed in this course. A challenging assignment, to design a drug candidate against a disease of choice, forms the core of this course. The course is given entirely online, and at your own pace, so you can do it during your minor or major traineeship, even from abroad.
Subjects of the course are:parts of virology/bacteriology/parasitology/immunology, organic chemistry, biochemistry, pharmacology, pharmacokinetics, structural biology, and especially computational medicinal chemistry.
In this course, we challenge the student to think of a medical need, to find a target, to come up with a lead and to optimise this lead towards a drug candidate by means of molecular docking. You present the medical need and target in a prerecorded presentation and write a final report on your own drug candidate..More informationDrug Development and RegulationCourse catalogue code: DI-409-09
6WKS7.5EC05Sep202214Oct2022MandatoryYes, for DINN students.
Optional for students from other programmesYes.
Short descriptionIn this course you will study the process of drug development and drug regulation, both processes that are an essential part of the drug pipeline. There will be an emphasis on new innovative drugs and therapies like novel vaccins, miRNA, antibodies, and gene- and stem cell therapy.
More informationDrug DiscoveryCourse catalogue code: DI-408-09
5WKS7.5EC12Sep202214Oct2022MandatoryYes, for DINN students.
Optional for students from other programmesYes.
Short descriptionThe consecutive steps of the current paradigm are discussed following the course book of H.P.Rang. We begin with the history of Drug Discovery. Then we discuss choosing the project; choosing the target, finding a lead, and optimising the lead. Supporting workshops will deal with bioinformatics, computer-assisted drug discovery, and quantitative pharmacology. You will spend almost half of your time in a team in order to present an innovative research proposal.
More informationImmunopharmacologyCourse catalogue code: FA-MA215
5WKS7.5EC19Dec202203Feb2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionThis course provides you with insights in the immunological processes of chronic inflammatory diseases, such as asthma, COPD, IBD, allergies, and autoimmune diseases.
More informationIntroduction to Biomolecular Mass SpectrometryCourse catalogue code: SK-MBAPBMS
1WK1.5EC09May202217May2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis one-week course aims to give an overview of techniques used in proteomics, particularly mass spectrometry, along with examples of their application to biological research.
More informationNanomedicinesCourse catalogue code: FA-MA218
5WKS7.5EC13Mar202321Apr2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionCharacteristics of nanoparticles such as size, surface area and internal composition make them attractive candidates for use in therapeutic and diagnostic applications. The aim of this course is to provide an overview of the nanomedicine field. Every week a theme will be discussed in which nanomedicine is involved: therapeutics (both synthetic and bio-inspired) and diagnostics. We will focus on the applications of nanomedicine in cardiovascular disease and cancer.
More informationPharmaceutical Policy AnalysisCourse catalogue code: FA-MA216
5WKS7.5EC19Dec202203Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionMedicine are amongst the most regulated products in society. From the earliest pre-clinical stages onward, policy makers want to foster the development of safe, effective and affordable medicines for patients in need of pharmacotherapy. When a drug reaches the market, it is the beginning of a process of complex interactions between patients, prescribers, insures, pharmaceutical companies and governments. Pharmaceutical policy analysis may provide the much needed evidence to inform policy and decision makers involved in ensuring access to medicines from bench to bedside.
In this course, you will gain insight in the framework(s) defining access to medicines and all stakeholders involved. The course will specifically focus on Regulation, Pricing & reimbursement and Responsible use. Furthermore, you will develop a better understanding of analytical approaches in pharmaceutical policy analysis using these three themes as learning devices.
More informationPharmacoeconomicsCourse catalogue code: FA-MA213
5WKS7.5EC29May202307Jul2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionThe course is centered around the project of independently conducting a pharmacoeconomic analysis in a group of 3-4 students. At the same time, the block provides a broader picture of the place of such pharmacoeconomic analyses within the broader health policy field.
More informationPharmacoepidemiologyCourse catalogue code: FA-MA210
5WKS7.5EC19Dec202203Feb2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionDuring this course you will work in a small group (2-3) to perform a complete cycle of pharmacoepidemiological research. A protocol has to be written, data has to be prepared, statistical analysis has to be performed, a scientific publication has to be written and finally the research has to be orally presented. Each group will be supervised by a researcher of the division of Pharmacoepidemiology & Clinical Pharmacology.
More informationUnderstanding DrugsCourse catalogue code: DI-407
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionDuring this course we will try to achieve the starting level for the Drug Innovation Master’s programme. We will offer workshops on the topic of "Understanding Drugs", encompassing the fields of bioorganic chemistry, pharmacokinetics, pharmacodynamics, pharmaceutics, anatomy and physiology, biochemistry, analytical chemistry, and pharmacotherapy.
More information
Environmental Biology
Applied Plant BiologyCourse catalogue code: B-MEAPB
6WKS4.5EC23May202230Jun2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesScience and Business Management, and Bio Inspired Innovation
Short descriptionTo obtain a broad overview and understanding of “the green sector” in the Netherlands and abroad, with the focus on the plant breeding industry and biotechnology, the role of fundamental research therein, and job opportunities for young MSc’s with a plant molecular biology/biotechnology background.
More informationBasics of Biostatistics (online course)Course catalogue code: BMB507217
8WKS4.5EC14Nov202203Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionPlease note: Basic of Biostatistics is an online course (~16 hours per week). The course offers a variety of learning activities such as web lectures, discussions and (group)assignments. A maximum of 60 students can be enrolled in the course (divided into groups of max 15 students in order to remain small-scale learning).
The course provides an introduction to statistical methodology and supplies a number of statistical techniques important for practical data analysis. Examples from the medical and biological fields will be used in exercises.
NOTE: It is expected that students have some basic knowledge on descriptive statistics and mathematics.
Course schedule
The statistical theory will be introduced and discussed in the first 6 weeks (week 46 till 51). After the Christmas holiday (week 52 till 1) the remaining parts of the course are scheduled: case study (week 2) and exam (week 3). The re-exam is scheduled in week 6. You will find the more detailed schedule in the Osiris course catalogue.Registration
You can apply for this course via Osiris Student. You will be able to register for this course in Osiris Student during a fixed time frame. See the information on the Study Guide. Registration for the course will open in the second half of September.More informationBiotechnologyCourse catalogue code: B-MBITEC
3WKS5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, for ENVB students.
Short descriptionThis course is an introduction in Biotechnology. It will give an overview of different fields in biotechnology (molecular techniques, bacterial biotechnology, fungal biotechnology, plant biotechnology, industrial biotechnology, medical biotechnology, animal biotechnology) with special emphasis on new developments. In addition, other aspects related to biotechnology, such as intellectual property rights, ethical concerns and the marketability of a product are discussed.
More informationEcology of Natural ResourcesCourse catalogue code: B-MENR19
9WKS*7EC12Sep202211Nov2022MandatoryYes, for ENVB-ENRM students.
Optional for students from other programmesNo.
Short description*9 weeks of 20 hours per week
The aim of this course is to strengthen your expertise in plant-, microbial and landscape ecology and to show how this expertise is of vital importance to natural resource management.
More informationEthology and WelfareCourse catalogue code: BMB503905
4WKS6EC22Nov202117Dec2021MandatoryNo.
Optional for students from other programmesYes, especially for ENVB-BE students.
Short descriptionThe course focuses at behavioural and welfare problems in animals. It addresses the (neuro)ethological basis, the implications for science and society, and clinical aspects.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 26.
To register the applicants are asked to send a short (max. 250 words) motivation letter to the course coordinator Vivian Goerlich-Jansson (v.c.goerlich-jansson@uu.nl). In the letter please explain why you want to take part in this course and why it is relevant for your further studies/career. A selection will be made based on the timing of registration (first come, first serve) and the motivation letter.
More informationEvolutionary Perspectives of Sexual BehaviourCourse catalogue code: B-MEPSB
4WKS6EC19Sep202213Oct2022MandatoryYes, for ENVB-BE students.
Optional for students from other programmesYes. Especially the NSCN tracks CN and BN.
Short descriptionIn this course all aspects of sexual behaviour will be presented on the basis of the book "The Red Queen, Sex &The Evolution of Human Nature" of Matt Ridley, 1993, key papers and recent articles. Although the title of the book suggests differently, the major part of the book deals with animal behaviour. Human behaviour is also treated from a biological point of view.
More informationExploring your research impactCourse catalogue code: B-MEBSDG
1WK1.5EC12Dec202216Dec2022MandatoryYes.
Optional for students from other programmesYes, if space allows.
Maximum number of participants: 70
Dates to be confirmed
Short descriptionBeing involved in research, MSc students should be aware of the potential role their results could play to build a sustainable future. Moreover, students should be able to constructively discuss and connect with other students of the master's program. As such, this inter-track course will encourage the participants to determine and discuss how their research topic may contribute to solving questions related to sustainability. In particular, participants will put their research in relation with one or more of the 17 Sustainable Development Goals set by the United Nations (https://sustainabledevelopment.un.org/?menu=1300). Groups of students belonging to different tracks will be composed. Based on the project proposal that the students wrote at the start of their major internship, participants will write a short report containing a clear description of their potential contribution. Each participant will read the reports of a few fellow peers and give peer review. Based on group meetings and discussion of the reviews, each group will choose one report which will be presented in plenary in no more than two slides at the end of the course.
More informationFungal BiologyCourse catalogue code: B-MEBIFB19
6WKS9EC12Sep202221Oct2022MandatoryYes, for ENVB-FB students.
Optional for students from other programmesYes, unless maximum capacity is reached.
Short descriptionThe aim of this course is to discuss and understand principles of the ecology, physiology, molecular biology, developmental biology of fungi and biotechnology with fungi. To this end, students will make assignments, discuss articles, have lectures, participate in the annual meeting of the section Mycology of the Royal Netherlands Society for Microbiology, make summaries of scientific presentations, and interview an expert in the field of fungal biology.
More informationIntroduction to Bioinformatics for Life SciencesCourse catalogue code: B-MINBI19
3WKS4.5EC17Oct202204Nov2022MandatoryNo.
Optional for students from other programmesYes, especially NSCN and ENVB (Behavioural Ecology).
Short descriptionThis course can be considered a general introduction to bioinformatics and provides an overview of the importance of bioinformatics in various biological disciplines, with a focus on the research that is performed at Utrecht University. The theory and tools for bioinformatics provided are very useful for any life science researcher.
More informationIntroduction to R for Life SciencesCourse catalogue code: BMB502219
2WK3EC03Oct202214Oct2022This course is also taught from06 Mar 2023 till 17 Mar 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to give a basic training in R for Life Sciences students. R is a programme for statistical analysis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 45 students per course.
More informationManagement of Natural Resources in ContextCourse catalogue code: B-MNMAN19
10WKS*6.5EC12Sep202211Nov2022MandatoryYes, for ENVB-ENRM students.
Optional for students from other programmesYes.
Short description*10 weeks of 20 hours per week
The course is a reflection on and exercise in natural resources management in its societal context. The emphasis is on the application of what you already know, what you are able to do in the field of natural resources management and on learning by doing. The main activity of the course consists of working on two major assignments.
More informationMeasuring BehaviourCourse catalogue code: B-MMBE07
2WKS1.5EC09Jan202320Jan2023MandatoryYes, for ENVB-BE students.
Optional for students from other programmesYes, especially for NSCN and other ENVB students.
Short descriptionThe purpose of this course is to acquire working knowledge of the methods for measuring and analysing animal behaviour. The course is based on the book "Measuring Behaviour. An introductory guide".
Registration:
The maximum number of students is 25. Applications are on "first come first serve" basis.More informationMicrobial GenomicsCourse catalogue code: B-MBIMIGE
3wks4.5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, especially for ENVB students.
Short descriptionIn this course you will learn how to analyse genome data of individual microbes, but also of microbial communities (metagenomics).
More informationPlant Microbe InteractionsCourse catalogue code: B-MEPMI
2WKS3EC07Feb202218Feb2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesYes.
Short descriptionPlant-microbe interactions will be introduced in a general lecture, highlighting recent developments and the importance of the reviewing process. For a set of recent manuscripts the students will act as reviewers and editors following the format provided by high standard international journals. Editor decisions will be presented and discussed.
More informationPlant-Environment InteractionsCourse catalogue code: B-MPEI
2WKS3EC12Sep202223Sep2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesYes.
Short descriptionA general lecture on plant-environment interactions will set the stage for an advanced-level course on how plants adjust to their most important environmental factor: light. Although plants rely fully on light as their energy source, they often struggle with temporal and spatial variations in the abundance of this resource. Both excess and shortage of light can be very harmful to plants. Students will study the latest developments in plant plasticity towards variations into light quality and quantity.
More informationPrimate Social BehaviourCourse catalogue code: B-MPCEMD
1MO2.5EC01Jun202222Jun2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe master classes consist of three lectures with subsequent discussion, each with their own topic: 1. Morality, 2. Empathy, and 3. Culture in nonhuman primates. Students will read primary literature to prepare each class and its discussion. The classes will be examined with a multiple choice exam.
Send an e-mail to the course coordinator masterclass.bio@uu.nl for enrollment.
More informationTopics in Fungal BiologyCourse catalogue code: B-MEBTFU19
4WKS4.5EC12Sep202221Oct2022Short descriptionThe aim of this course is to discuss and understand principles of the ecology, physiology, molecular biology, developmental biology of fungi and biotechnology with fungi. To this end, students will discuss articles, have lectures, participate in the annual meeting of the section Mycology of the Royal Netherlands Society for Microbiology, and make summaries of scientific presentations.
More informationZoo Conservation BiologyCourse catalogue code: B-MZCB
4WKS6EC17Oct202203Nov2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course approaches this broad field of research from a zoo perspective, and will mainly focus on areas of interest that are related to small population management in captive settings and in field conservation programs.
Registration:
2nd year BE students have priority, followed by 1st year BE students. Other GSLS students have to apply with a motivation letter. The maximum number of participants is 20.More information
Epidemiology
Advanced Diagnostic ResearchCourse catalogue code: BMB501818
1WKS1.5EC14Feb202218Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
Diagnostic research in the past focused particularly on estimating the sensitivity and specificity of individual diagnostic tests. This course will demonstrate that this so called 'test research' is not necessarily the same as diagnostic research. Furthermore, we will widen the horizon by proposing modern methods of diagnostic research and data analysis in which a patient's test result can and should be considered in the context of other patient characteristics or test results. These methods enable 1. direct estimation of individual probabilities of disease presence based on all diagnostic information and 2. evaluation of the extent to which a particular diagnostic test has true added value in the clinical context. Also, conventional and advanced methods for systematic reiews of diagnostic tests will be presented.
Max. 60 participants.
More informationAdvanced Topics in Causal Research: Confounding and Effect ModificationCourse catalogue code: BMB502818
1wks1.5EC14Mar202218Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
This course will address two important topics in causal epidemiologic research, namely confounding and effect modification. These topics will be discussed in the context of both etiologic research and observational intervention research. Effect modification and confounding are difficult concepts to understand and often mixed up. In this course the theory as well as the practical side of these issues will be discussed.
Max. 60 participants.
More informationApplied Economic Modelling for the Veterinary Sciences Course catalogue code: BMB505818
2WKS3EC15Nov202126Nov2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here.
Max. 20 participants.
More informationBig Data (summerschool)Course catalogue code: BMB506818
1WKS1.5EC15Aug202219Aug2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here(link is external).
Max. 50 participants.
More informationCardiovascular EpidemiologyCourse catalogue code: BMB507818
1WKS1.5EC28Feb202204Mar2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The objective of the course is to provide the participant with insight in the principles and important issues of cardiovascular disease epidemiology. Topics that will be covered are:
- Atherosclerosis, the underlying pathology for the most common cardiovascular diseases;
- Risk factors for cardiovascular disease;
- Worldwide trends in cardiovascular disease morbidity and mortality;
In addition, there will be several key lectures given by invited speakers from both inside and outside the UMC Utrecht. During these lectures the latest developments in CVD epidemiology will be presented. Topics in key lectures may include sex differences in CVD, the importance of genes and environmental factors in CVD.
Interactive teaching is key in this course. Apart from active participation during the lectures, the participant will be assigned to tasks: First, an individual assignment about cvd research in 2030 has to be made and second particpants have to defend a proposition in a debate. This will be a group assignment.Max. 40 participants.
More informationClassical Methods in Data AnalysisCourse catalogue code: BMB403314
4WKS6EC25Oct202119Nov2021MandatoryFor EPIM, EPMM, and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course covers the basic applications of biostatistics in the analysis of medical research data.
Max. 70 participants.
More informationClinical EpidemiologyCourse catalogue code: BMB509818
1WKS1.5EC22Nov202103Dec2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In clinical epidemiology, research is focused on questions of diagnosis, prognosis, treatment and etiology. To address these questions, several research options are available, including intervention trials and case-control studies using data obtained in a clinical setting.
In the course, the principles and practice of clinical epidemiology will be considered and examples from the literature will be worked out and discussed. The aim is to provide the participants with the knowledge to evaluate and judge applied clinical research and data analysis and give a sufficient scientific and methodological background to actively participate in clinical studies.Topics are: principles of applied clinical research, study design and analysis of diagnostic and prognostic research, study design and analysis of comparative (clinical) experimental and non experimental studies.
Max. 60 participants.
More informationClinical Trials and Drug Risk AssessmentCourse catalogue code: BMB510818
1WKS1.5EC13Dec202117Dec2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
A clinical trial is an exceedingly important instrument in the assessment of treatment efficacy. With regard to clinical trials, the emphasis will be on methodological principles and on the clinical practice of therapeutic experiments. Furthermore, this course addresses the principles of studying the effects of drug treatments on the risks of unintended effects. The accent is on proper formulation of the research problem with a view to clinical and regulatory relevance of the study results, and on requirements for validity in non-experimental research.
The course program covers the principles of therapeutic research design, including design of study, design of data collection, design of data analysis, including some modelling techniques in the analysis to clinical trials, and the interpretation of its results. Finally the program covers the principles of drug risk assessment in the context of therapeutic research. Seminal lectures on trials and practical exercises are included in the program.Max. 60 participants.
More informationComputational StatisticsCourse catalogue code: BMB511818
1WKS1.5EC07Mar202211Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Computational statistics concerns the development, implementation and study of computationally intensive statistical methods. Such methods are often used e.g. in the fields of data visualization, the analysis of large datasets, Monte Carlo simulation, resampling methods such as the bootstrap, permutational methods, Markov Chain Monte Carlo methods and various numerical methods of equation solving such as the EM algorithm and Newton-Raphson iteration. A very powerful tool to implement such methods is the R statistical programming language.
This course will present essential methods in computational statistics in a practical manner, using real-world datasets and statistical problems. Examples will include e.g. 1) evaluating and comparing the performance of different statistical techniques in a specific setting using simulation, 2) implementing complex methods such as an EM algorithm to fit a joint model, 3) implementing the bootstrap to obtain a standard error estimate which is not available in closed-form. We will also develop advanced R programming skills.
Max. 40 participants.
More informationEconomic Principles and Concepts for the Veterinary SciencesCourse catalogue code: BMB512818
2WKS2.5EC27Sep202108Oct2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Max. 20 participants.
More informationEpidemiology of Animal Infectious DiseasesCourse catalogue code: BMB538818
2WKS3EC02May202213May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Infectious diseases are an important cause of disease burden in animals, as well as humans. Infectious animal disease epidemiology is important in both a veterinary.
You will learn techniques and theory of veterinary epidemiology of animal infectious diseases, including mathematical modelling, design and analysis of infectious disease animal transmission experiments, infectious disease risk mapping, risk assessment and disease surveilllance.
Max. 30 participants.
More informationEpidemiology of Infectious Diseases Course catalogue code: BMB513818
1WKS1.5EC09May202213May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Infectious disease epidemiology is targeted towards understanding the routes and risks of transmission of pathogens between humans, and from the envrionment to humans, and using this knowledge to design and evaluate the effectiveness of interventions. This is a dynamic interplay between pathogens and humans, which clearly distinguishes infectious disease epidemiology from the epidemiology of non-communicable diseases, such as cardiovascular and oncology. We will introduce epidemiological methods and techniques that are specific for infectious diseases, such as outbreak investigations and (sero)surveillance. Specific (classes of) infectious diseases and their epidemiology will be covered. Other topics of the course include interventions such as vaccination, and antimicrobial resistance.
Max. 60 participants.
More informationFundamentals of Global Health (summerschool)Course catalogue code: BMB514818
1WKS1.5EC27Jun202201Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here
Max. 30 participants.
More informationGeneralized Linear ModelsCourse catalogue code: BMB515818
1WKS1.5EC21Feb202225Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. The GLM allows the linear model to be related to the response variable via a link function together with an error function. Starting with the familiar linear regression and ANOVA, the course will expand the linear model to include link functions such as the logit with binomial and the log with Poisson error distributions, thereby enabling students to model outcome variables that are not continuous. Attention will be paid to likelihood estimation methods and the checking of model assumptions.
Max. 60 participants.
More informationGenetic EpidemiologyCourse catalogue code: BMB516818
1WKS1.5EC04Apr202208Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In modern health research genetic association studies play a large role. Genome-wide association studies are being performed to discover genetic variations associated with both continuous traits and diseases. Results from these studies are subsequently being used to better understand the mechanisms that lead to diseases, and to understand whether associations found in observational studies between risk factors and diseases are indeed causal.
This 5-day course covers a short introduction to population genetics. During the course we will discuss genome-wide association studies (GWAS), genetic imputation. Also we will show how to follow-up the hits identified in GWAS studies. Then we will discuss Mendelian randomization studies and some miscellaneous topics. Some basic knowledge on epidemiology and population genetics is preferable. We end the course with an exam.
Max. 40 participants.
More informationHands-on Veterinary SciencesCourse catalogue code: BMB534818
1WKS1.5EC16May202220May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course offers you the opportunity to practice and improve your skills in analyzing (animal) health data from structured populations. You will perform statistical analyses on a dataset provided by the teachers or on your own data. You will go through the process of formulating a hypothesis, analyzing data, interpretation of the results, and reporting.
During the course you will be guided while working on this project by epidemiologists and statisticians. The week ends with presenting the results of your work both written and orally.
Max. 30 participants.
More informationInference and ModelsCourse catalogue code: BMB517818
1WKS1.5EC28Mar202201Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Statistical inference is intended to aid in answering scientific questions about a population, based on a sample from this population, i.e. on data that are subject to variability. The data generating mechanism is described as a probability model that is completely specified except for a limited number of unknown parameters. The questions that can be answered are a) are the data consistent with the model? and b) assuming that a) is fulfilled, what can be concluded about values of the unknown parameters? In this course, the basic principles of statistical inference are presented, with an emphasis on likelihood methods. Methods are illustrated by the classical linear model.
Max. 40 participants.
More informationIntroduction to Epidemiology Course catalogue code: BMB402914
2WKS3EC13Sep202124Sep2021MandatoryFor EPIM and EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides insight in the basic terminology and principles used in epidemiology. The course starts with the history and design of epidemiological research, and the different measures of frequency and association. Also, the principles of bias and confounding are addressed. In the second part of the course, epidemiological fields of research as covered at UMC Utrecht and Utrecht University are presented.
Max. 70 participants.
More informationIntroduction to StatisticsCourse catalogue code: BMB404014
1WKS1.5EC27Sep202101Oct2021MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides basic knowledge of statistics. The course is aiming to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses in the MSc Epidemiology programme.
Max. 70 participants.
More informationMachine Learning: Application in MedicineCourse catalogue code: BMB518818
1WKS1.5EC20Jun202224Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
Learn the basics of machine learning, with a special focus on sparse data as they occur in high dimensional ‘omics’ types of data.
Max. 30 participants.
More informationMathematical Modelling of Infectious Diseases (summerschool)Course catalogue code: BMB524817
2WKS3EC04Jul202215Jul2022MandatoryYes, for EPIM & EPMM students with certain specializations and ONEH students.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
The course focusses on concepts and methods of mathematical modelling of infectious diseases. Applications to specific infectious diseases and intervention strategies will be discussed.
Max. 40 participants.
More informationMethodology in Health Economic EvaluationCourse catalogue code: BMB519818
1WKS1.5EC20Jun202224Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The aim of this course is to introduce economic evaluation methodology and practice to persons unfamiliar with economic thinking in a healthcare and prevention context. Participants will be introduced to the main approaches to economic evaluation, the measurement of costs and effects, including quality of life measurements, economic modeling, and uncertainty analyses. Participants will also learn to assess economic evaluations as published in the literature.
The course topics will be covered in interactive lectures, case studies and group discussions. In addition, aspects of economic modeling will be covered extensively with computer exercises, in which participants will learn how to develop basic and advanced cost-effectiveness models. Lectures and computer exercises will be given by staff from the Health Technology Assessment group of the Julius Center/UMC Utrecht.Max. 30 participants.
More informationMissing DataCourse catalogue code: BMB526819
2WKS1.5EC30May202204Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Even in well designed and conducted epidemiological studies, data will be missing. This may include missing observations of the exposure and under study, confounders, or the outcome.
Possible mechanisms for data being missing will be discussed, as well as their potential impact in terms of bias. Focus will be on methods t handle missing data. Examples and exercises will come from various epidemiological studies, including diagnostic, prognostic, etiologic, and therapeutic studies.
Max. 40 participants.
More informationMixed ModelsCourse catalogue code: BMB520818
1WKS1.5EC20Apr202229Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In the biosciences, response variables are often observed more than once per individual. This enables the researcher to study the development of the variable of interest within individuals, thereby eliminating the variation among individuals, and thus increasing the power of the design. However, since observations on the same individual are almost always correlated, special methods are needed to deal with this dependence.
Another way in which data can be dependent is when there is a hierarchical (multilevel) structure in your data, e.g. patients within hospitals, horses within farms, pupils within classrooms, etc.
Mixed models are one way of analyzing this kind of data. This statistical technique allows for the dependency of measurements in hierarchically structured data, and separately examines the effects of variables at different levels. An important part of the course will be about the use (and theory) of linear mixed effects models (LME’s).
Starting with analysis of summary statistics on each individual's observations, this course will lead you to more advanced methods for analyzing multilevel and longitudinal data. Similarities between longitudinal data analysis and multilevel analysis will be clarified. The course will focus primarily on continuous outcome variables, but attention will also be paid to dichotomous and count data.
Max. 60 participants.
More informationModern Methods in Data Analysis Course catalogue code: BMB417014
3WKS4.5EC10Jan202228Jan2022MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course starts with an introduction to likelihood theory, using simple examples and a minimum of mathematics. Next, the most important regression models used in medical research are introduced. Topics are: maximum-likelihood methods, logistic regression, model validation and regression diagnostics, Poisson regression, and analysis of `event-history´ data, including an extensive discussion of the Cox proportional hazards regression model. Also, the basic principles of longitudinal data analysis are taught.
Max. 70 participants.
More informationMolecular Epidemiology of Chronic Diseases (summerschool)Course catalogue code: BMB521818
1WKS1.5ECStartdateTBAEnddateTBAMandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here(link is external).
Max. 40 participants.
More informationMolecular Epidemiology of Infectious DiseasesCourse catalogue code: BMB522818
2WKS3EC07Feb202218Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The rapid growth of advanced molecular methods has revolutionized our understanding of epidemiology of infectious diseases. This course will introduce you to basic molecular typing tools, but also to next-generation sequencing and will illustrate applications of these tools in epidemiological studies. In this course, you will work with whole genome sequences, learn about sequence alignment and construct phylogenies. You will get an introduction to coalescent theory and see examples of the use of molecular epidemiology in outbreak analyses. Examples of genome-wide association studies and microbiome studies will be presented. The application of mathematical modelling of pathogen evolution and epidemiology will be discussed.
Max. 40 participants.
More informationPharmaceutical Policy Analysis (summerschool)Course catalogue code: BMB537818
1WKS1.5EC11Jul202215Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
More informationPharmacoepidemiology and Drug Safety (summerschool)Course catalogue code: BMB536818
1WKS1.5EC04Jul202208Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
More informationPresentation and Writing of Research Proposal Course catalogue code: BMB422016
2DYS2EC03Feb202204Feb2022MandatoryFor EPIM and EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here(link is external).
Research training starts with the formulation of a research question and the design of a study. Research proposals are presented and discussed in a seminar with fellow participants, PhD students and senior staff members. In the second year students present a poster at the seminar.
More informationPrognostic ResearchCourse catalogue code: BMB524818
1WKS1.5EC21Mar202225Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Prognosis is a key concept in patient care. The methodology of prognostic research is however relatively underdeveloped. This is in contrast to its growing importance in clinical medicine. In the course, principles and methods of non-experimental prognostic research will be discussed. In lectures, practical exercises and discussion of examples, the practice of prognostic research in a clinical setting is addressed. Emphasis will be on design and statistical analysis of prognostic studies, construction and estimation of prediction rules and approaches to validation and generalization of research results. Problems with small datasets will be extensively discussed.
Max. 60 participants.
More informationReproducibility in Clinical ResearchCourse catalogue code: BMB527819
1WKS1.5EC02May202206May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Over the past decades, we have seen huge improvements in medical imaging technology. S ystematic evaluation of the quality and reproducibility of new imaging techniques is crucial to allow large scale implementation. This one week interactive course will focus on the many aspects of imaging evaluation, including technical development, visual assessment and optimisation of image quality, and intra and inter observer reproducibility. At the end of the week, students will be able to design, analyse and report imaging evaluation and reproducibility studies according to international guidelines.
Max. 30 participants.
More informationResearch Ethics and SocietyCourse catalogue code: BMB506714
4DYS1EC15Mar202224Apr2022MandatoryFor EPIM and EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here(link is external).
As an epidemiologist you have to be able to reflect on social and ethical responsibilities linked to the application of your knowledge and judgements. Both in the design and conduct of research, as well as in the discussion, interpretation, and communication of research results, ethical considerations always play a role. The course aims to introduce you to theory, logical reasoning, and case studies, in the ethics of experimentation on human subjects, international research, and research on children and other vulnerable populations.
Also the role of epidemiological research within society is discussed. In particular you will be asked to formulate your personal view and ambitions within the field.Max. 70 participants.
More informationStudy Design in Ethiologic ResearchCourse catalogue code: BMB403615
2WKS3EC04Oct202118Oct2021MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In this course the principles and practice of cohort, case-control and cross-sectional studies are taught. Design, data collection and outcome measures are discussed, as well as the major advantages and disadvantages of the different study designs. Emphasis is on the application of study design in etiologic research. The course focuses on the more classical approach but also addresses modern concepts and design options, such as case-cohort designs. Various study designs are discussed, with emphasis on issues of validity.
Max. 70 participants.
More informationStudy Design in Veterinary Epidemiological ResearchCourse catalogue code: BMB535818
1WKS1.5EC25Apr202229Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In this course you will learn the "state-of-the-art" in veterinary epidemiology. the course will focus on those aspects that are specific for epidemiology in animal health, but these concepts are relevant also in many other situations.
For instance, structured polulations (e.g. individuals grouped by herd, farm or pen) are common in animal health epidemiology, but also not uncommon in human epidemiology (e.g. nursing homes). You will learn to apply epidemiological and statistical methods, specific for structured populations during hands-on computer practical and lectures.
Max. 30 participants.
More informationSurvival AnalysisCourse catalogue code: BMB528818
1WKS1.5EC16May202220May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Survival data, or more generally, time-to-event data (where the “event” can be death, disease, recovery, relapse or another outcome), is frequently encountered in epidemiologic studies. Censoring is a problem characteristic to most survival data, and requires special data analytic techniques.
This course will give an introduction to survival analysis and cover many of the types of survival data and analysis techniques regularly encountered in epidemiologic research. The necessary statistical theory will be presented, but the course will focus on practical examples, with an emphasis on matching data analysis to the research question at hand. Lab sessions will give students the opportunity to apply the theory to real datasets.
Max. 40 participants.
More informationSystematic Review and Meta-Analysis of Prognosis StudiesCourse catalogue code: BMB531818
1WKS1.5EC13Jun202217Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The number of primary studies evaluating prognostic factors and models is rising. Critically summarizing and analyzing the evidence form prognostic studies in a systematic review and meta analysis, respectively, is beneficial for health care professionals seeking the best evidence. Reviews of prognostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and more complex statistical models, as compared to e.g. randomized therapeutic intervention trials . Several advances regarding the design, critical appraisal and statistical analysis in systematic reviews of prognostic studies, have recently been made. In this course we discuss and practice how to define your review questions, how to critically assess the methodological quality of primary prognostic studies, and which statistical methods to use for meta-analyses of the results of primary prognostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises.
Max. 40 participants.
More informationSystematic Review in Diagnostic StudiesCourse catalogue code: BMB530818
1WKS1.5EC04Apr202208Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The number of primary studies evaluating diagnostic tests is rising. Critically summarizing such studies in a systematic review is beneficial for health care professionals seeking the best evidence about the use of diagnostic tests. Reviews of diagnostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and the need to use more complex statistical approaches to meta-analysis. Several advances have recently been made in the methods to perform such reviews. In this course we discuss and practice the methods to assess the methodological quality of primary diagnostic test accuracy studies (QUADAS-2 instrument), the statistical models to meta-analyze the paired measures of test accuracy (bivariate meta-regression model of sensitivity and specificity), and how to critically read and interpret the findings of systematic review of diagnostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises using the statistical software package R.
Max. 40 participants.
More informationSystematic Reviews and Meta-Analysis of Individual Participant Data (IPD)Course catalogue code: BMB529818
1WKS1.5EC27Jun202201Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Systematic reviews and meta-analyses are an important cornerstone of contemporary evidence-based medicine. The large majority summarize published aggregate data, but it is increasingly common that individual participant data (IPD) are obtained from primary studies. As a result, new opportunities arise and more advanced statistical methods are needed to properly analyze the available data. In this course, we discuss how a meta-analysis involving IPD may help to identify sources of heterogeneous treatment effects, to investigate the accuracy of diagnostic tests, to develop clinical prediction models and to externally validate such models. We place particular emphasis on statistical methods for dealing with between-study heterogeneity, and discuss how to interpret corresponding results. The course consists of plenary presentations, small-group discussions, reading assignments, and computer exercises.
Max. 40 participants.
More informationSystematic Reviews in Intervention ResearchCourse catalogue code: BMB532818
1WKS1.5EC07Feb202211Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Meta-Analysis is the statistical approach to synthesis of the results from a series of studies. During this course we will present and discuss the rational and use of meta-analysis. We will discuss the strengths and limitations, and provide step-by-step guidance on how to perform a meta-analysis based on examples that either has provoked discussion on their logic and methods, or that have challenged conventional beliefs in medicine and biomedical sciences.
Logic and developments on particular approaches (e.g. model selection, individual patient data meta-analyses), and controversies in meta-analysis will be discussed during interactive tutorials (e.g. dealing with heterogeneity and when to refrain from meta-analysis).
Participants will learn how to conduct a meta-analysis. They will get hands-on experience on different aspects of the design and conduct of meta-analysis, including computer practicals using Excel, Comprehensive Meta-Analysis (CMA), STATA and MIX. By the end of the course, participants should be able to conduct a meta-analysis.
Participants gain access to the online materials the week before the course. Participants are encouraged to bring their laptop.Max. 60 participants.
More information
Epidemiology Postgraduate
Advanced Diagnostic ResearchCourse catalogue code: BMB501818
1WKS1.5EC14Feb202218Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
Diagnostic research in the past focused particularly on estimating the sensitivity and specificity of individual diagnostic tests. This course will demonstrate that this so called 'test research' is not necessarily the same as diagnostic research. Furthermore, we will widen the horizon by proposing modern methods of diagnostic research and data analysis in which a patient's test result can and should be considered in the context of other patient characteristics or test results. These methods enable 1. direct estimation of individual probabilities of disease presence based on all diagnostic information and 2. evaluation of the extent to which a particular diagnostic test has true added value in the clinical context. Also, conventional and advanced methods for systematic reiews of diagnostic tests will be presented.
Max. 60 participants.
More informationAdvanced Topics in Causal Research: Confounding and Effect ModificationCourse catalogue code: BMB502818
1wks1.5EC14Mar202218Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
This course will address two important topics in causal epidemiologic research, namely confounding and effect modification. These topics will be discussed in the context of both etiologic research and observational intervention research. Effect modification and confounding are difficult concepts to understand and often mixed up. In this course the theory as well as the practical side of these issues will be discussed.
Max. 60 participants.
More informationApplied Economic Modelling for the Veterinary Sciences Course catalogue code: BMB505818
2WKS3EC15Nov202126Nov2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here.
Max. 20 participants.
More informationBig Data (summerschool)Course catalogue code: BMB506818
1WKS1.5EC15Aug202219Aug2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here(link is external).
Max. 50 participants.
More informationCardiovascular EpidemiologyCourse catalogue code: BMB507818
1WKS1.5EC28Feb202204Mar2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The objective of the course is to provide the participant with insight in the principles and important issues of cardiovascular disease epidemiology. Topics that will be covered are:
- Atherosclerosis, the underlying pathology for the most common cardiovascular diseases;
- Risk factors for cardiovascular disease;
- Worldwide trends in cardiovascular disease morbidity and mortality;
In addition, there will be several key lectures given by invited speakers from both inside and outside the UMC Utrecht. During these lectures the latest developments in CVD epidemiology will be presented. Topics in key lectures may include sex differences in CVD, the importance of genes and environmental factors in CVD.
Interactive teaching is key in this course. Apart from active participation during the lectures, the participant will be assigned to tasks: First, an individual assignment about cvd research in 2030 has to be made and second particpants have to defend a proposition in a debate. This will be a group assignment.Max. 40 participants.
More informationClassical Methods in Data AnalysisCourse catalogue code: BMB403314
4WKS6EC25Oct202119Nov2021MandatoryFor EPIM, EPMM, and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course covers the basic applications of biostatistics in the analysis of medical research data.
Max. 70 participants.
More informationClinical EpidemiologyCourse catalogue code: BMB509818
1WKS1.5EC22Nov202103Dec2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In clinical epidemiology, research is focused on questions of diagnosis, prognosis, treatment and etiology. To address these questions, several research options are available, including intervention trials and case-control studies using data obtained in a clinical setting.
In the course, the principles and practice of clinical epidemiology will be considered and examples from the literature will be worked out and discussed. The aim is to provide the participants with the knowledge to evaluate and judge applied clinical research and data analysis and give a sufficient scientific and methodological background to actively participate in clinical studies.Topics are: principles of applied clinical research, study design and analysis of diagnostic and prognostic research, study design and analysis of comparative (clinical) experimental and non experimental studies.
Max. 60 participants.
More informationClinical Trials and Drug Risk AssessmentCourse catalogue code: BMB510818
1WKS1.5EC13Dec202117Dec2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
A clinical trial is an exceedingly important instrument in the assessment of treatment efficacy. With regard to clinical trials, the emphasis will be on methodological principles and on the clinical practice of therapeutic experiments. Furthermore, this course addresses the principles of studying the effects of drug treatments on the risks of unintended effects. The accent is on proper formulation of the research problem with a view to clinical and regulatory relevance of the study results, and on requirements for validity in non-experimental research.
The course program covers the principles of therapeutic research design, including design of study, design of data collection, design of data analysis, including some modelling techniques in the analysis to clinical trials, and the interpretation of its results. Finally the program covers the principles of drug risk assessment in the context of therapeutic research. Seminal lectures on trials and practical exercises are included in the program.Max. 60 participants.
More informationComputational StatisticsCourse catalogue code: BMB511818
1WKS1.5EC07Mar202211Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Computational statistics concerns the development, implementation and study of computationally intensive statistical methods. Such methods are often used e.g. in the fields of data visualization, the analysis of large datasets, Monte Carlo simulation, resampling methods such as the bootstrap, permutational methods, Markov Chain Monte Carlo methods and various numerical methods of equation solving such as the EM algorithm and Newton-Raphson iteration. A very powerful tool to implement such methods is the R statistical programming language.
This course will present essential methods in computational statistics in a practical manner, using real-world datasets and statistical problems. Examples will include e.g. 1) evaluating and comparing the performance of different statistical techniques in a specific setting using simulation, 2) implementing complex methods such as an EM algorithm to fit a joint model, 3) implementing the bootstrap to obtain a standard error estimate which is not available in closed-form. We will also develop advanced R programming skills.
Max. 40 participants.
More informationEconomic Principles and Concepts for the Veterinary SciencesCourse catalogue code: BMB512818
2WKS2.5EC27Sep202108Oct2021MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Max. 20 participants.
More informationEpidemiology of Animal Infectious DiseasesCourse catalogue code: BMB538818
2WKS3EC02May202213May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Infectious diseases are an important cause of disease burden in animals, as well as humans. Infectious animal disease epidemiology is important in both a veterinary.
You will learn techniques and theory of veterinary epidemiology of animal infectious diseases, including mathematical modelling, design and analysis of infectious disease animal transmission experiments, infectious disease risk mapping, risk assessment and disease surveilllance.
Max. 30 participants.
More informationEpidemiology of Infectious Diseases Course catalogue code: BMB513818
1WKS1.5EC09May202213May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Infectious disease epidemiology is targeted towards understanding the routes and risks of transmission of pathogens between humans, and from the envrionment to humans, and using this knowledge to design and evaluate the effectiveness of interventions. This is a dynamic interplay between pathogens and humans, which clearly distinguishes infectious disease epidemiology from the epidemiology of non-communicable diseases, such as cardiovascular and oncology. We will introduce epidemiological methods and techniques that are specific for infectious diseases, such as outbreak investigations and (sero)surveillance. Specific (classes of) infectious diseases and their epidemiology will be covered. Other topics of the course include interventions such as vaccination, and antimicrobial resistance.
Max. 60 participants.
More informationFundamentals of Global Health (summerschool)Course catalogue code: BMB514818
1WKS1.5EC27Jun202201Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here
Max. 30 participants.
More informationGeneralized Linear ModelsCourse catalogue code: BMB515818
1WKS1.5EC21Feb202225Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. The GLM allows the linear model to be related to the response variable via a link function together with an error function. Starting with the familiar linear regression and ANOVA, the course will expand the linear model to include link functions such as the logit with binomial and the log with Poisson error distributions, thereby enabling students to model outcome variables that are not continuous. Attention will be paid to likelihood estimation methods and the checking of model assumptions.
Max. 60 participants.
More informationGenetic EpidemiologyCourse catalogue code: BMB516818
1WKS1.5EC04Apr202208Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In modern health research genetic association studies play a large role. Genome-wide association studies are being performed to discover genetic variations associated with both continuous traits and diseases. Results from these studies are subsequently being used to better understand the mechanisms that lead to diseases, and to understand whether associations found in observational studies between risk factors and diseases are indeed causal.
This 5-day course covers a short introduction to population genetics. During the course we will discuss genome-wide association studies (GWAS), genetic imputation. Also we will show how to follow-up the hits identified in GWAS studies. Then we will discuss Mendelian randomization studies and some miscellaneous topics. Some basic knowledge on epidemiology and population genetics is preferable. We end the course with an exam.
Max. 40 participants.
More informationHands-on Veterinary SciencesCourse catalogue code: BMB534818
1WKS1.5EC16May202220May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course offers you the opportunity to practice and improve your skills in analyzing (animal) health data from structured populations. You will perform statistical analyses on a dataset provided by the teachers or on your own data. You will go through the process of formulating a hypothesis, analyzing data, interpretation of the results, and reporting.
During the course you will be guided while working on this project by epidemiologists and statisticians. The week ends with presenting the results of your work both written and orally.
Max. 30 participants.
More informationInference and ModelsCourse catalogue code: BMB517818
1WKS1.5EC28Mar202201Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Statistical inference is intended to aid in answering scientific questions about a population, based on a sample from this population, i.e. on data that are subject to variability. The data generating mechanism is described as a probability model that is completely specified except for a limited number of unknown parameters. The questions that can be answered are a) are the data consistent with the model? and b) assuming that a) is fulfilled, what can be concluded about values of the unknown parameters? In this course, the basic principles of statistical inference are presented, with an emphasis on likelihood methods. Methods are illustrated by the classical linear model.
Max. 40 participants.
More informationIntroduction to Epidemiology Course catalogue code: BMB402914
2WKS3EC13Sep202124Sep2021MandatoryFor EPIM and EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides insight in the basic terminology and principles used in epidemiology. The course starts with the history and design of epidemiological research, and the different measures of frequency and association. Also, the principles of bias and confounding are addressed. In the second part of the course, epidemiological fields of research as covered at UMC Utrecht and Utrecht University are presented.
Max. 70 participants.
More informationIntroduction to StatisticsCourse catalogue code: BMB404014
1WKS1.5EC27Sep202101Oct2021MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides basic knowledge of statistics. The course is aiming to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses in the MSc Epidemiology programme.
Max. 70 participants.
More informationMachine Learning: Application in MedicineCourse catalogue code: BMB518818
1WKS1.5EC20Jun202224Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here.
Learn the basics of machine learning, with a special focus on sparse data as they occur in high dimensional ‘omics’ types of data.
Max. 30 participants.
More informationMathematical Modelling of Infectious Diseases (summerschool)Course catalogue code: BMB524817
2WKS3EC04Jul202215Jul2022MandatoryYes, for EPIM & EPMM students with certain specializations and ONEH students.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
The course focusses on concepts and methods of mathematical modelling of infectious diseases. Applications to specific infectious diseases and intervention strategies will be discussed.
Max. 40 participants.
More informationMethodology in Health Economic EvaluationCourse catalogue code: BMB519818
1WKS1.5EC20Jun202224Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The aim of this course is to introduce economic evaluation methodology and practice to persons unfamiliar with economic thinking in a healthcare and prevention context. Participants will be introduced to the main approaches to economic evaluation, the measurement of costs and effects, including quality of life measurements, economic modeling, and uncertainty analyses. Participants will also learn to assess economic evaluations as published in the literature.
The course topics will be covered in interactive lectures, case studies and group discussions. In addition, aspects of economic modeling will be covered extensively with computer exercises, in which participants will learn how to develop basic and advanced cost-effectiveness models. Lectures and computer exercises will be given by staff from the Health Technology Assessment group of the Julius Center/UMC Utrecht.Max. 30 participants.
More informationMissing DataCourse catalogue code: BMB526819
2WKS1.5EC30May202204Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Even in well designed and conducted epidemiological studies, data will be missing. This may include missing observations of the exposure and under study, confounders, or the outcome.
Possible mechanisms for data being missing will be discussed, as well as their potential impact in terms of bias. Focus will be on methods t handle missing data. Examples and exercises will come from various epidemiological studies, including diagnostic, prognostic, etiologic, and therapeutic studies.
Max. 40 participants.
More informationMixed ModelsCourse catalogue code: BMB520818
1WKS1.5EC20Apr202229Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In the biosciences, response variables are often observed more than once per individual. This enables the researcher to study the development of the variable of interest within individuals, thereby eliminating the variation among individuals, and thus increasing the power of the design. However, since observations on the same individual are almost always correlated, special methods are needed to deal with this dependence.
Another way in which data can be dependent is when there is a hierarchical (multilevel) structure in your data, e.g. patients within hospitals, horses within farms, pupils within classrooms, etc.
Mixed models are one way of analyzing this kind of data. This statistical technique allows for the dependency of measurements in hierarchically structured data, and separately examines the effects of variables at different levels. An important part of the course will be about the use (and theory) of linear mixed effects models (LME’s).
Starting with analysis of summary statistics on each individual's observations, this course will lead you to more advanced methods for analyzing multilevel and longitudinal data. Similarities between longitudinal data analysis and multilevel analysis will be clarified. The course will focus primarily on continuous outcome variables, but attention will also be paid to dichotomous and count data.
Max. 60 participants.
More informationModern Methods in Data Analysis Course catalogue code: BMB417014
3WKS4.5EC10Jan202228Jan2022MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
This course provides statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course starts with an introduction to likelihood theory, using simple examples and a minimum of mathematics. Next, the most important regression models used in medical research are introduced. Topics are: maximum-likelihood methods, logistic regression, model validation and regression diagnostics, Poisson regression, and analysis of `event-history´ data, including an extensive discussion of the Cox proportional hazards regression model. Also, the basic principles of longitudinal data analysis are taught.
Max. 70 participants.
More informationMolecular Epidemiology of Chronic Diseases (summerschool)Course catalogue code: BMB521818
1WKS1.5ECStartdateTBAEnddateTBAMandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionSummer School. Register here(link is external).
Max. 40 participants.
More informationMolecular Epidemiology of Infectious DiseasesCourse catalogue code: BMB522818
2WKS3EC07Feb202218Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The rapid growth of advanced molecular methods has revolutionized our understanding of epidemiology of infectious diseases. This course will introduce you to basic molecular typing tools, but also to next-generation sequencing and will illustrate applications of these tools in epidemiological studies. In this course, you will work with whole genome sequences, learn about sequence alignment and construct phylogenies. You will get an introduction to coalescent theory and see examples of the use of molecular epidemiology in outbreak analyses. Examples of genome-wide association studies and microbiome studies will be presented. The application of mathematical modelling of pathogen evolution and epidemiology will be discussed.
Max. 40 participants.
More informationPharmaceutical Policy Analysis (summerschool)Course catalogue code: BMB537818
1WKS1.5EC11Jul202215Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
More informationPharmacoepidemiology and Drug Safety (summerschool)Course catalogue code: BMB536818
1WKS1.5EC04Jul202208Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
More informationPresentation and Writing of Research Proposal Course catalogue code: BMB422016
2DYS2EC03Feb202204Feb2022MandatoryFor EPIM and EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here(link is external).
Research training starts with the formulation of a research question and the design of a study. Research proposals are presented and discussed in a seminar with fellow participants, PhD students and senior staff members. In the second year students present a poster at the seminar.
More informationPrognostic ResearchCourse catalogue code: BMB524818
1WKS1.5EC21Mar202225Mar2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Prognosis is a key concept in patient care. The methodology of prognostic research is however relatively underdeveloped. This is in contrast to its growing importance in clinical medicine. In the course, principles and methods of non-experimental prognostic research will be discussed. In lectures, practical exercises and discussion of examples, the practice of prognostic research in a clinical setting is addressed. Emphasis will be on design and statistical analysis of prognostic studies, construction and estimation of prediction rules and approaches to validation and generalization of research results. Problems with small datasets will be extensively discussed.
Max. 60 participants.
More informationReproducibility in Clinical ResearchCourse catalogue code: BMB527819
1WKS1.5EC02May202206May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Over the past decades, we have seen huge improvements in medical imaging technology. S ystematic evaluation of the quality and reproducibility of new imaging techniques is crucial to allow large scale implementation. This one week interactive course will focus on the many aspects of imaging evaluation, including technical development, visual assessment and optimisation of image quality, and intra and inter observer reproducibility. At the end of the week, students will be able to design, analyse and report imaging evaluation and reproducibility studies according to international guidelines.
Max. 30 participants.
More informationResearch Ethics and SocietyCourse catalogue code: BMB506714
4DYS1EC15Mar202224Apr2022MandatoryFor EPIM and EPMM.
Optional for students from other programmesNo.
Short descriptionRegister here(link is external).
As an epidemiologist you have to be able to reflect on social and ethical responsibilities linked to the application of your knowledge and judgements. Both in the design and conduct of research, as well as in the discussion, interpretation, and communication of research results, ethical considerations always play a role. The course aims to introduce you to theory, logical reasoning, and case studies, in the ethics of experimentation on human subjects, international research, and research on children and other vulnerable populations.
Also the role of epidemiological research within society is discussed. In particular you will be asked to formulate your personal view and ambitions within the field.Max. 70 participants.
More informationStudy Design in Ethiologic ResearchCourse catalogue code: BMB403615
2WKS3EC04Oct202118Oct2021MandatoryFor EPIM, EPMM and EPMM online.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In this course the principles and practice of cohort, case-control and cross-sectional studies are taught. Design, data collection and outcome measures are discussed, as well as the major advantages and disadvantages of the different study designs. Emphasis is on the application of study design in etiologic research. The course focuses on the more classical approach but also addresses modern concepts and design options, such as case-cohort designs. Various study designs are discussed, with emphasis on issues of validity.
Max. 70 participants.
More informationStudy Design in Veterinary Epidemiological ResearchCourse catalogue code: BMB535818
1WKS1.5EC25Apr202229Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
In this course you will learn the "state-of-the-art" in veterinary epidemiology. the course will focus on those aspects that are specific for epidemiology in animal health, but these concepts are relevant also in many other situations.
For instance, structured polulations (e.g. individuals grouped by herd, farm or pen) are common in animal health epidemiology, but also not uncommon in human epidemiology (e.g. nursing homes). You will learn to apply epidemiological and statistical methods, specific for structured populations during hands-on computer practical and lectures.
Max. 30 participants.
More informationSurvival AnalysisCourse catalogue code: BMB528818
1WKS1.5EC16May202220May2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Survival data, or more generally, time-to-event data (where the “event” can be death, disease, recovery, relapse or another outcome), is frequently encountered in epidemiologic studies. Censoring is a problem characteristic to most survival data, and requires special data analytic techniques.
This course will give an introduction to survival analysis and cover many of the types of survival data and analysis techniques regularly encountered in epidemiologic research. The necessary statistical theory will be presented, but the course will focus on practical examples, with an emphasis on matching data analysis to the research question at hand. Lab sessions will give students the opportunity to apply the theory to real datasets.
Max. 40 participants.
More informationSystematic Review and Meta-Analysis of Prognosis StudiesCourse catalogue code: BMB531818
1WKS1.5EC13Jun202217Jun2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The number of primary studies evaluating prognostic factors and models is rising. Critically summarizing and analyzing the evidence form prognostic studies in a systematic review and meta analysis, respectively, is beneficial for health care professionals seeking the best evidence. Reviews of prognostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and more complex statistical models, as compared to e.g. randomized therapeutic intervention trials . Several advances regarding the design, critical appraisal and statistical analysis in systematic reviews of prognostic studies, have recently been made. In this course we discuss and practice how to define your review questions, how to critically assess the methodological quality of primary prognostic studies, and which statistical methods to use for meta-analyses of the results of primary prognostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises.
Max. 40 participants.
More informationSystematic Review in Diagnostic StudiesCourse catalogue code: BMB530818
1WKS1.5EC04Apr202208Apr2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
The number of primary studies evaluating diagnostic tests is rising. Critically summarizing such studies in a systematic review is beneficial for health care professionals seeking the best evidence about the use of diagnostic tests. Reviews of diagnostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and the need to use more complex statistical approaches to meta-analysis. Several advances have recently been made in the methods to perform such reviews. In this course we discuss and practice the methods to assess the methodological quality of primary diagnostic test accuracy studies (QUADAS-2 instrument), the statistical models to meta-analyze the paired measures of test accuracy (bivariate meta-regression model of sensitivity and specificity), and how to critically read and interpret the findings of systematic review of diagnostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises using the statistical software package R.
Max. 40 participants.
More informationSystematic Reviews and Meta-Analysis of Individual Participant Data (IPD)Course catalogue code: BMB529818
1WKS1.5EC27Jun202201Jul2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Systematic reviews and meta-analyses are an important cornerstone of contemporary evidence-based medicine. The large majority summarize published aggregate data, but it is increasingly common that individual participant data (IPD) are obtained from primary studies. As a result, new opportunities arise and more advanced statistical methods are needed to properly analyze the available data. In this course, we discuss how a meta-analysis involving IPD may help to identify sources of heterogeneous treatment effects, to investigate the accuracy of diagnostic tests, to develop clinical prediction models and to externally validate such models. We place particular emphasis on statistical methods for dealing with between-study heterogeneity, and discuss how to interpret corresponding results. The course consists of plenary presentations, small-group discussions, reading assignments, and computer exercises.
Max. 40 participants.
More informationSystematic Reviews in Intervention ResearchCourse catalogue code: BMB532818
1WKS1.5EC07Feb202211Feb2022MandatoryMight be for a specialization of EPIM & EPMM.
Optional for students from other programmesYes.
Short descriptionRegister here(link is external).
Meta-Analysis is the statistical approach to synthesis of the results from a series of studies. During this course we will present and discuss the rational and use of meta-analysis. We will discuss the strengths and limitations, and provide step-by-step guidance on how to perform a meta-analysis based on examples that either has provoked discussion on their logic and methods, or that have challenged conventional beliefs in medicine and biomedical sciences.
Logic and developments on particular approaches (e.g. model selection, individual patient data meta-analyses), and controversies in meta-analysis will be discussed during interactive tutorials (e.g. dealing with heterogeneity and when to refrain from meta-analysis).
Participants will learn how to conduct a meta-analysis. They will get hands-on experience on different aspects of the design and conduct of meta-analysis, including computer practicals using Excel, Comprehensive Meta-Analysis (CMA), STATA and MIX. By the end of the course, participants should be able to conduct a meta-analysis.
Participants gain access to the online materials the week before the course. Participants are encouraged to bring their laptop.Max. 60 participants.
More information
Infection and Immunity
Bacterial PathogenesisCourse catalogue code: BMB404506
2WKS3EC26Sep202207Oct2022MandatoryFor I&I students
Optional for students from other programmesYes, however only in exceptional cases.
Short descriptionThis course covers several topics in bacterial pathogenesis such as bacterial cell biology, prokaryotic cell signaling, bacterial virulence strategies, bacterial exploitation of host cell biology, bacterial community, host cell defense, therapy & resistance and bacterial related diseases.
Registration
For I&I students. Automatically registered upon starting the programme
Non-I&I students: Send motivation letter incl. proof of previous knowledge in bacteriology to secretary.iimaster@umcutrecht.nl and register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 30.More informationClinical Immunology Course catalogue code: BMB404707
2WKS3EC12Sep202223Sep2022MandatoryFor I&I students.
Optional for students from other programmesOnly in exceptional cases for students with an internship in the field of Clinical Immunology.
Short descriptionDeficiency or deregulation of the immune system can lead to a kaleidoscope of clinical features which are genetically determined or induced by infections or cancer therapy.
Registration
I&I students: automatically registered upon starting the programme.
The maximum number of participants is 30.
More informationComputational Immunology Course catalogue code: BMB513321
3WKS4.5EC21Nov202209Dec2022MandatoryNo
Optional for students from other programmesYes
Short descriptionThis course will focus on different computational techniques that are currently used to study the immune system.
It will cover a range of biostatistical techniques, computational techniques to handle big data, and mathematical models.
With these concepts, you will be able to design a study, analyze and interpret the resulting data, and critically read immunological papers using computational techniques.
Each day, introductory lectures on specific topics will be followed by computer practical sessions in which participants will put into practice the introduced techniques.
Registration:
Apply for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Max number of students is 25.Prerequisite knowledge:
This course is open for students with and without a computational background. It assumes basic knowledge of I&I.More informationSignalling and Techniques in Immunity and InfectionCourse catalogue code: BMB459007
3WKS4.5EC13Jun202201Jul2022This course is also taught from13 Jun 2023 till 04 Jul 2023
MandatoryFor I&I students.
Optional for students from other programmesOnly in exceptional cases for students with an internship in the field of signalling.
Short description*Please note that the exam is on the Monday, following the course.
Cell signalling is part of a complex system of communication that governs basic cellular activities and coordinates cell actions. The ability of cells to perceive and correctly respond to their microenvironment is the basis of development, tissue repair, and immunity as well as normal tissue homeostasis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Additional for Non-I&I students: send motivation letter to secretary.iimaster@umcutrecht.nlThe maximum number of participants is 30.
More informationSymposium I&ICourse catalogue code: BMB401905
2DYS1.5EC17Nov202218Nov2022MandatoryFor I&I students (both 1st and 2nd year’s).
Optional for students from other programmesNo.
Short descriptionThe Master’s symposium I&I is organized annually by Master's students to provide a platform for second year’s to present the results of their first internships.
You can find more information here.
Registration
Automatically after acceptance to the programme.
Contact: secretary.iimaster@umcutrecht.nl.More informationVaccinesCourse catalogue code: BMB507410
2WKS3EC12Sep202223Sep2022MandatoryFor I&I students.
Optional for students from other programmesYes.
Short descriptionThis course combines a state-of-the-art overview of the diverse facets of vaccines with a focused introduction to epidemiology of infectious diseases.
Registration
1st year I&I Students: automatically registered upon starting the programme.
2nd year I&I Students: register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Non-I&I students: send motivation letter incl. proof of previous knowledge in Immunology to secretary.iimaster@umcutrecht.nl and register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 30.
More informationVirologyCourse catalogue code: BMB430006
2WKS3EC10Oct202221Oct2022MandatoryFor I&I students.
Optional for students from other programmesYes, for MCLS students.
Short descriptionThe aim of this course is to provide an overview of the field of virology. After a general introduction on structure, replication cycle and virus taxonomy, the entry, replication and assembly of specific examples of DNA, RNA and retrovirusses are studied in greater detail.
Registration
I&I students: Automatically registered upon starting the programmeThe maximum number of participants is 40.
More information
Medical Imaging
Advanced MR Physics 1Course catalogue code: BMB502717
10WKS5EC17Nov202202Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis advanced MRI course covers the physical principles of MRI and sequence design issues.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationAdvanced MR Physics 2Course catalogue code: BMB503317
10WKS5EC10Feb202321Apr2023MandatoryNo.
Optional for students from other programmesyes, provided they have passed the course AMRP 1.
Short descriptionThis advanced MRI course builds on the course Advanced MR Physics 1.
More detailed description may be added later when it becomes available.
Medical Imaging website:
http://mix.isi.uu.nl/courses/advanced-mr-physics-2/Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationCapita Selecta in Medical Image Analysis TU/EindhovenCourse catalogue code: BMB502217
11WKS5EC06Feb202321Apr2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN
This course covers a number of state-of-the-art techniques and topics in medical image analysis. It is a specialisation course for those with a general understanding of medical image analysis looking to deepen their knowledge. Specific topics are diffusion-weighted magnetic resonance imaging, visualization, validation and image registration.
Registration:
Please register at TU/e, course code 8DM20, at least 4 weeks before start of the course. Osiris registration will be done retroactively when results from the TU/e are received.
More informationCapita Selecta in Medical ImagingCourse catalogue code: BMB502517
10WKS5EC14Nov202230Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionIn this course a selection of more specialised topics in the field of medical imaging research, e.g. diffusion MRI and deep learning will be discussed.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationElectromagnetic Fields in MRI TU/EindhovenCourse catalogue code: BMB503121
12WKS5EC14Nov202203Feb2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN
The course teaches the fundamentals of electromagnetic field generation in MRI, covering topics such as Biot-Savart law, gradient coils, transmission line theory, RF antenna/coils, B1+/B1-, noise, SNR, SAR, parallel imaging, numerical simulations etc.
Registration:
Please register at the TU/e, course code 5LPE0, and in Osiris Student at least 4 weeks before start of the courseMore informationImage ProcessingCourse catalogue code: BMB502817
10WKS5EC15Sep202203Feb2023MandatoryYes, for MIMG students.
Optional for students from other programmesYes.
Short descriptionThis course covers basic and advanced techniques that are used in medical Image processing. You will learn to segment images, automatically recognize structures from CT, MRI and X-ray, and detect anomalies. You will learn the basic knowledge to develop a computer-aided diagnosis system that helps physicians to read medical images.
Registration
Medical Imaging students are registered automatically for this course upon entering the Masterprogramme.Other UU and TU/e partnership students can register register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationMedical Image FormationCourse catalogue code: BMB501717
10WKS5EC12Sep202208Nov2022MandatoryYes, for MIMG students.
Optional for students from other programmesYes.
Short descriptionIn this course the physics behind the most important medical imaging modalities will be dealt with. After an introductory lecture, x-ray imaging, ultrasound, nuclear imaging techniques and magnetic resonance imaging will be discussed.
Registration:
Medical Imaging students are registered automatically for this course upon entering the Masterprogramme.Other UU and TU/e partnership students can register register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationProgramming for Medical ImagingCourse catalogue code: BMB502417
10WKS5EC12Sep202211Nov2022MandatoryYes, for MIMG students.
Optional for students from other programmesYes.
Short descriptionIn medical image analysis, computer programming and algorithm design are essential skills. This course teaches the theoretical knowledge and practical skills required to do so. Focus is on C++.
Registration
Medical Imaging students are registered automatically for this course upon entering the Masterprogramme.Other UU and TU/e partnership students can register register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationRadiation Physics TU/EindhovenCourse catalogue code: BMB503417
10WKS2.5EC05Sep202211Nov2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN
In this course the basic notions from atom and nuclear physics are discussed.
Medical Imaging website:
http://mix.isi.uu.nl/courses/radiation-physics-tue/
Please register at TU/e, course code 8CM10, at least 2 weeks before start of the course. Osiris registration will be done retroactively when results from the TU/e are received.
More informationRadiotherapy PhysicsCourse catalogue code: BMB502617
10WKS5EC08Feb202319Apr2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionThis course covers practical and theoretical aspects on medical physics in the field of radiotherapy. Main topics are: basics radiotherapy physics, treatment planning, IGRT and MRI guided radiotherapy.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.More informationTeam ChallengeCourse catalogue code: BMB502317
10WKS5EC05Sep202221Apr2023MandatoryYes, for MIMG students.
Optional for students from other programmesNo.
Short descriptionStudent groups will develop a strategy for solving a medical imaging challenge. Groups are composed of students from Utrecht and Eindhoven.
Registration
Medical Imaging students are registered automatically for this course upon entering the Masterprogramme.More informationUltrasound in (Bio)medical Engineering TU/EindhovenCourse catalogue code: BMB503217
10WKS5EC14Nov202203Feb2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN
This course discusses the physics of acoustics and the physics behind US pressure field formation. Also, a clear overview of medical applications of ultrasound will be given, including all pro’s and con’s and image artefacts and new techniques will be introduced.
Registration
Please register at TU/e, course code 8VM60, at least 4 weeks before start of the course. Osiris registration will be done retroactively when results from the TU/e are received.More information
Molecular and Cellular Life Sciences
Advanced Bioinformatics: Data mining and data integration for LSCourse catalogue code: BMB502114
1WKS1.5EC09Jan202313Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionEffective mining and integration of data is one of the major challenges in biomedical research. Decades of research led to numerous databases, including important resources such as NCBI, SWISS-PROT and ENCODE. Here we outline current data integration challenges in biology and biomedical research and discuss state-of-the-art approaches for tackling these challenges.
Due to limited capacity, Master students with the Bioinformatics Profile will receive preferred placement in this course.
More informationAdvanced Biomolecular Mass SpectrometryCourse catalogue code: SK-MADPBMS
1WK3EC03Oct202207Oct2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionBuilding upon the basics of Mass Spectrometry (MS) this course continues more in depth on the state-of-art applications of MS in the life science research. Topics include: separation and fractionation techniques, and in-depth workings of mass spectrometers and MS analyzers.
More informationAdvanced Biomolecular NMRCourse catalogue code: SK-MCABNMR
3WKS4.5EC08May202309Jun2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionYou will be trained to use product operators to describe NMR pulse sequences. A selection of important building blocks of common multidimensional NMR experiments will be discussed. The course will be highly interactive: presentation, directly followed by instruction and exercises.
More informationAdvanced MicroscopyCourse catalogue code: NS-EX423M
10WKS7.5EC14Nov202203Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe course aims to familiarize students of natural sciences and life sciences with the theory behind, and the application of, modern microscopes. In the first half course, we will cover a wide spectrum of topics from the properties of light – IR to X-Rays – and how they are used in microscopy, to more advanced subjects such as Fourier Optics and Analytical Microscopy. During the second half of the course, will switch to electrons as the imaging medium and you will learn about advanced EM and Electron Tomography techniques, as well as Scanning Tunneling Microscopy.
More informationAdvanced Omics for Life SciencesCourse catalogue code: BMB502316
1WK1.5EC20Feb202324Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionCourse moved to Period 3.
Effective mining and integration of omics data is an important part of biomedical research. Decennia of research led to numerous tools and databases, including prominent resources such as the HumanProteinAtlas and ENCODE. Here we outline current data processing and integration methods within omics research and discuss state-of-the-art data analysis.
More informationAdvanced R for Life SciencesCourse catalogue code: B-MADR19
2WK3EC31Oct202211Nov2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionMany researchers will need to apply statistical analysis in their work. Often, the R statistical language is chosen, since it is well established, free, and has many packages available for different tasks. If you want to be able to use the more powerful features of R, create visually attractive figures with ggplot, write concise and organized code that you can share with others, create automatically generated reports. This course gives you the knowledge to follow one of the subsequent courses of statistical analysis for omics technologies, and linear models with R.
More informationAnalytics and Algorithms for Omics DataCourse catalogue code: BMB508219
2WKS3EC20Mar202331Mar2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course is aimed at master and PhD students who want to understand and design data analytic methods for interpretation of genome-wide biological data (i.e. Omics data). (This course can also be followed as part of the UBC/GSLS Bioinformatics Profile).
Registration:
Bioinformatics Profile students will have priority when this course is followed as a part of their profile. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 20 participants is reached.
More informationApplied Cryo-Electron MicroscopyCourse catalogue code: SK-MCACEM
10WKS3EC15Nov202104Feb2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionCryo-electron microscopy (cryo-EM) is a structural biology technique used to investigate biomolecular (in particular protein) complexes both within their native cellular context and at near atomic resolution when purified. In this course we will cover the fundamental aspects of sample preparation, image acquisition and data processing. By the end of the course students should understand how cryo-EM can address research questions related to structural biology while appreciating its limitations and the required time investments.
More informationApplied Plant BiologyCourse catalogue code: B-MEAPB
6WKS4.5EC23May202230Jun2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesScience and Business Management, and Bio Inspired Innovation
Short descriptionTo obtain a broad overview and understanding of “the green sector” in the Netherlands and abroad, with the focus on the plant breeding industry and biotechnology, the role of fundamental research therein, and job opportunities for young MSc’s with a plant molecular biology/biotechnology background.
More informationApplied Protein CrystallographyCourse catalogue code: SK-MBPPC
2WKS3EC31Oct202211Nov2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionX-ray diffraction on protein crystals is a powerful technique to determine structures of large biomolecules at (near) atomic resolution. Technological and methodological advances and the vast and steadily increasing number of protein structures already available, enable rapid determination of protein structures by the method of molecular replacement, provided that suitable diffracting crystals can be obtained and the structure of a >25% homologous protein is available. In this hands-on course you will determine a protein crystal structure yourself using molecular replacement. You will perform all steps from diffraction data processing to validation and analysis of the refined model.
More informationBioinformatics and Evolutionary GenomicsCourse catalogue code: B-MBIEG06
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionConstruct, root and interpret phylogenetic trees; for a given protein, find its homologs, annotate its protein domains, time its duplications, define its orthologs, pinpoint its origin.
More informationBiophysics & Molecular ImagingCourse catalogue code: SK-MCBMI
2WKS3EC10Oct202221Oct2022MandatoryYes, for MCLS students in the track Biophysics & Molecular Imaging.
Optional for students from other programmesYes, but only if maximum capacity is not reached. Contact the course coordinator before enrolling.
Short descriptionLiving matter at the molecular level is a seemingly chaotic, but nevertheless a tightly regulated soup composed of a myriad of different ingredients. To (start to) understand how these molecular ingredients create life we must determine their shapes and dynamics, visualize their distributions, and study the energies and forces that govern their interactions. These research concepts are at the basis of the MCLS track Biophysics and Molecular Imaging and the focus of this course.
The course covers key concepts and state-of-the-art research applications of biophysical techniques that allow imaging of molecules at the atomic level (NMR, X-ray diffraction, electron microscopy), as well as the dynamics of (single) molecules inside living cells (light microscopy and super-resolution microscopy), or determine the force required to detach two interacting molecules (single molecule force spectroscopy).More informationBiotechnologyCourse catalogue code: B-MBITEC
3WKS5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, for ENVB students.
Short descriptionThis course is an introduction in Biotechnology. It will give an overview of different fields in biotechnology (molecular techniques, bacterial biotechnology, fungal biotechnology, plant biotechnology, industrial biotechnology, medical biotechnology, animal biotechnology) with special emphasis on new developments. In addition, other aspects related to biotechnology, such as intellectual property rights, ethical concerns and the marketability of a product are discussed.
More informationChemical BiologyCourse catalogue code: FA-450
6WKS7.5EC13Mar202321Apr2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe field of chemical biology lies at the interface of chemistry and biology. It uses chemistry, chemical principles, and notably molecules to study and solve important issues in biology. The course will focus on chemical and biological syntheses and behaviours of relevant molecules for chemical biology, primarily carbohydrates, peptides and nucleic acids, as well as their uses in addressing biological questions. Bio-orthogonal reactions and the use of the compounds derivatized as chemical probes will also be discussed. This course will also have an emphasis on critical reading of recent literature and presentation on this to the group.
More informationConcepts in Science for LifeCourse catalogue code: SK-MCSL
2WKS2EC12Sep202220Sep2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionThe course introduces new MCLS students to the state-of-the-art research performed and the key scientific challenges involved at the research groups affiliated to the MCLS Master’s programme. Students will be aquainted with interdisciplinary research approaches from molecule to the living organism, and supports them developing their research interests.
The course facilitate matching between students and research teams. Students will be empowered to make an informed decision on the most appropriate interships and on the choice on an appropriate MCLS track.
More informationDesign of Anti-Infective DrugsCourse catalogue code: DI-FA-442
6WKS6EC24Apr202302Jun2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionAre we in danger of falling back to the pre-antibiotic era? Can we deal with epidemics/pandemics of Ebola, Zika, Corona and Influenza virus? When will parasitic diseases like Malaria and Schistosomiasis be eliminated? What can you do yourself? These questions will be addressed in this course. A challenging assignment, to design a drug candidate against a disease of choice, forms the core of this course. The course is given entirely online, and at your own pace, so you can do it during your minor or major traineeship, even from abroad.
Subjects of the course are:parts of virology/bacteriology/parasitology/immunology, organic chemistry, biochemistry, pharmacology, pharmacokinetics, structural biology, and especially computational medicinal chemistry.
In this course, we challenge the student to think of a medical need, to find a target, to come up with a lead and to optimise this lead towards a drug candidate by means of molecular docking. You present the medical need and target in a prerecorded presentation and write a final report on your own drug candidate..More informationDevelopmental GeneticsCourse catalogue code: BMB506508
1Week1.5EC17Apr202321Apr2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe course aims to provide an understanding of concepts of developmental biology and genetic analysis. In addition, the course teaches a variety of skills, including critical reading and group discussions. Having completed a Bachelor’s level genetics course is required. This course is an advanced genetics course.
Registration
Arrangements have been made to accomodate that this course can be attended if you also attend the course Introduction to Bioinformatics for Life Sciences.More informationGene Expression, Epigenetics and DiseaseCourse catalogue code: BMB509413
2WKS3EC09Jan202320Jan2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course will teach the crucial concepts of regulation of gene expression, with a focus on the process of transcription at the molecular level, but also including concepts derived from cellular, developmental and disease states.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 40.
More informationGenes to OrganismsCourse catalogue code: B-MCG2O
2WKS3EC10Oct202221Oct2022MandatoryYes, for MCLS students in the track Genes to Organisms.
Optional for students from other programmesYes, but only if maximum capacity is not reached. Contact the course coordinator before enrolling.
Short descriptionHow life functions at the level of tissues and whole organisms, and how organisms respond and adapt to environmental conditions is the main topic of the Genes to Organisms track that is introduced in this general course. Students will be introduced to the research topics that are covered in this track and will learn about state-of-the-art methods used in genetics/genomics and analysis of gene function.
More informationIntroduction in Biophysics and Molecular ImagingCourse catalogue code: SK-MIBMI
3DYS1EC21Sep202223Sep2022MandatoryNo.
Optional for students from other programmesYes, for all GSLS students.
Short descriptionIn this short lecture series a brief overview will be provided of computational and biophysical techniques capable of imaging biomolecules in the cell and/or in atomic detail. Each lecture will cover one of the following techniques: super-resolution microscopy, cryo-electron microscopy, nuclear magnetic resonance, X-ray crystallography, and computational structural biology. During the course you will make an individual assignment.
More informationIntroduction to Bioinformatics for Life SciencesCourse catalogue code: B-MINBI19
3WKS4.5EC17Oct202204Nov2022MandatoryNo.
Optional for students from other programmesYes, especially NSCN and ENVB (Behavioural Ecology).
Short descriptionThis course can be considered a general introduction to bioinformatics and provides an overview of the importance of bioinformatics in various biological disciplines, with a focus on the research that is performed at Utrecht University. The theory and tools for bioinformatics provided are very useful for any life science researcher.
More informationIntroduction to Biomolecular Mass SpectrometryCourse catalogue code: SK-MBAPBMS
1WK1.5EC09May202217May2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis one-week course aims to give an overview of techniques used in proteomics, particularly mass spectrometry, along with examples of their application to biological research.
More informationIntroduction to Python for Life SciencesCourse catalogue code: BMB465019
2WK3EC12Sep202223Sep2022This course is also taught from06 Feb 2023 till 17 Feb 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course is aimed at Master and PhD students who want to explore computer-assisted methods for interpretation of biological data and develop their programming skills.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
CS&D and MCLS students have priority to this course. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 45 participants is reached.
More informationIntroduction to R for Life SciencesCourse catalogue code: BMB502219
2WK3EC03Oct202214Oct2022This course is also taught from06 Mar 2023 till 17 Mar 2023
MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to give a basic training in R for Life Sciences students. R is a programme for statistical analysis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 45 students per course.
More informationLight MicroscopyCourse catalogue code: B-MLMIC19
2WKS3EC14Mar202225Mar2022MandatoryNo.
Optional for students from other programmesYes, especially CSnD and ECN students.
Short descriptionStudents will acquire basic and advanced knowledge on optical microscopy, with an emphasis on fluorescence microscopy.
More informationMaster level Computational BiologyCourse catalogue code: B-MCOBI17
10WKS7.5EC06Feb202307Apr2023MandatoryNo.
Optional for students from other programmesNo.
Short descriptionDuring the course, the emphasis will be on composing and analysing exact models based on specific hypotheses. The results of the analyses offer an understanding of the original biological system. The models studied address fundamental questions from a variety of biological fields.
More informationMicrobial GenomicsCourse catalogue code: B-MBIMIGE
3wks4.5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, especially for ENVB students.
Short descriptionIn this course you will learn how to analyse genome data of individual microbes, but also of microbial communities (metagenomics).
More informationModel Organisms Course catalogue code: BMB505316
1WK1.5ECStartdateTBAEnddateTBAMandatoryNo.
Optional for students from other programmesYes.
Short descriptionNot taught in 2022/2023
Genetic analysis in model organisms is a powerful approach to gain detailed insight into biological processes. In this course, we will highlight five different model organisms that cover different aspects of biomedical research and provide a basic understanding of genetic analysis in these model systems.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum participants is 25 students
More informationMolecules & CellsCourse catalogue code: SK-MCMC
2WKS3EC26Sep202207Oct2022MandatoryYes, for MCLS students in the Molecules & Cells track.
Optional for students from other programmesYes, but only if maximum capacity is not reached. Contact the course coordinator before enrolling.
Short descriptionUnderstanding how molecules function in a cellular context is the basis for understanding life. In this course, we will focus on several research topics, in which exciting advances have been made in the recent years. We will discuss how established and emerging research methodologies make it possible to advance the textbook knowledge on the mechanisms underlying the function of biomolecules such as proteins and lipids within living cells.
Specific topics will be introduced by experts, who will also discuss different advanced techniques ranging from live cell and single molecule imaging and biophysical and biochemical analysis of proteins and lipids to structural biology approaches such as Nuclear Magnetic Resonance (NMR).
More informationPlant Microbe InteractionsCourse catalogue code: B-MEPMI
2WKS3EC07Feb202218Feb2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesYes.
Short descriptionPlant-microbe interactions will be introduced in a general lecture, highlighting recent developments and the importance of the reviewing process. For a set of recent manuscripts the students will act as reviewers and editors following the format provided by high standard international journals. Editor decisions will be presented and discussed.
More informationPlant-Environment InteractionsCourse catalogue code: B-MPEI
2WKS3EC12Sep202223Sep2022MandatoryYes, for ENVB-PB students.
Optional for students from other programmesYes.
Short descriptionA general lecture on plant-environment interactions will set the stage for an advanced-level course on how plants adjust to their most important environmental factor: light. Although plants rely fully on light as their energy source, they often struggle with temporal and spatial variations in the abundance of this resource. Both excess and shortage of light can be very harmful to plants. Students will study the latest developments in plant plasticity towards variations into light quality and quantity.
More informationResearch in Intracellular Processes and Cell OrganisationCourse catalogue code: SK-INTRAPR
1WK3EC24Oct202204Nov2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionYou will work in a team of 4 students to write a concise research proposal that will be reviewed by a panel of teachers.
This course will:
1) deepen your knowledge on mechanistic membrane processes of cell biology (membrane traffic, cytoskeleton, signaling) in a research based manner. You should acquire and use what you know of Cell Biology to address scientific questions experimentally.
2) expose you to in-depth theory of cutting-edge techniques like Organoid cultures and CRISPR-Cas9 gene-editing.
3) teach you to think creatively and scientifically through the writing of a research proposal.
More informationStructural Bioinformatics & ModellingCourse catalogue code: SK-MCBIM21
2WKS4.5EC16Jan202303Feb2023MandatoryNo.
Optional for students from other programmesYes.
Short descriptionComputational structural biology is a mature field of research whose contribution to life sciences is becoming increasingly more appreciated. The aim of this course is to provide a solid basis of computational structural biology methods, with an emphasis on practical protein modelling and simulation, to interested MSc and PhD students in the life sciences. Further, given the lack of emphasis on practical computational research in MSc and PhD courses, this course is designed to have a smooth learning curve regarding the GNU/Linux environment and its command-line interface. By the end of the course, the students are expected to master the three major computational structural biology methods – homology modelling, molecular dynamics, and protein docking – not only from a user perspective but also from a theoretical standpoint.
More informationVirologyCourse catalogue code: BMB430006
2WKS3EC10Oct202221Oct2022MandatoryFor I&I students.
Optional for students from other programmesYes, for MCLS students.
Short descriptionThe aim of this course is to provide an overview of the field of virology. After a general introduction on structure, replication cycle and virus taxonomy, the entry, replication and assembly of specific examples of DNA, RNA and retrovirusses are studied in greater detail.
Registration
I&I students: Automatically registered upon starting the programmeThe maximum number of participants is 40.
More information
Neuroscience and Cognition
Advanced fMRI AnalysisCourse catalogue code: BMB509218
5WKS3EC14Mar202215Apr2022MandatoryNo
Optional for students from other programmesYes
Short descriptionFunctional Magnetic Resonance Imaging (fMRI) is one of the major methods for measuring neural activity in humans, and techniques for processing and analysing the data are under constant development. Since the introduction of fMRI and its basic task based analysis, many additional processing and analysis techniques have been developed that shed a more elaborate light on the functioning of the human brain. Understanding and the ability to apply these techniques is a necessary requirement for current researchers in the fMRI research field. The course will provide students with hands-on experience on several modern techniques using various software packages. In addition, we will provide tools that can help students to further expand their knowledge and abilities, and also to evaluate the scientific merit of novel approaches regarding e.g. validity and replicability.
Please note: . Following the Basic fMRI Analysis (BMB509117) course is a prerequisite for following the Advanced fMRI analysis course.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationBasic fMRI analysesCourse catalogue code: BMB509117
5WKS3EC07Feb202211Mar2022MandatoryNo
Optional for students from other programmesYes
Short descriptionCourse description
Functional Magnetic Resonance Imaging (fMRI) is one of the major methods for measuring neural activity in humans, and techniques for processing and analysing the data are under constant development. Basic understanding of analysis techniques is not only relevant for students who are planning to work with fMRI data, but also necessary for critical evaluation of existing literature. The course will provide students with hands-on experience with the execution of the most well established techniques and perform a full fMRI analysis from individual datasets to groupwise results. Students will learn to perform the necessary steps using the SPM12 software package (Statistical Parametric Mapping 2012).
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationBioinformatics in NeuroscienceCourse catalogue code: BMB508117
2WKS3EC22Nov202103Dec2021MandatoryNo.
Optional for students from other programmesYes.
Short descriptionEvery day one lecture followed by hands-on computer practical; each day finishes with a keynote lecture.
During the course there is an assignment with a final presentation (which will be assessed) and an exam.
This course provides an overview of multiple genetic tools used by neuroscientists, including: brain atlases, analysis of pathways and gene sets, GWAS/WebQTL/Phenotype analysis; (single cell) RNAseq, imaging genetics and connectomics.
Central theme: neurological and psychiatric diseasesRegistration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationCommunication in NeuroscienceCourse catalogue code: BMB507110
1YR3EC01Dec202130Jun2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionScientific results in the field of neuroscience are often disseminated as publications in a journal or presented during symposia. This course goes one step further and aims to educate students in the organization of symposia and/or the publishing and reviewing process of scientific papers.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide. Max 14 students divided over 2 groups (Journal and Symposium).
More informationEssentials of NeuroscienceCourse catalogue code: BMB416005
2WKS3EC07Nov202220Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course is intended for non-neuroscience master students who would like to get more background in neuroscience. The lectures during the course cover a broad range of neuroscience topics from gene to neurological disease.
Registration
Please be aware this course code is offered online as well. For this Face-2-Face version be sure to select the correct Block: BMS_P1_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEssentials of Neuroscience (online course)Course catalogue code: BMB416005
9WKS3EC16Jan202327Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course gives you a unique opportunity to study the state of the art insights in Neurosciences, discover the research strengths of UMC Utrecht and experience our educational philosophy.
Registration:
Please be aware this course code is offered face-2-face as well. For this Online version be sure to select the correct Block: BMS_P2_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the Graduate School of Life Sciences can register for this course by sending an email to L.vanOudenaarden@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationEthology and WelfareCourse catalogue code: BMB503905
4WKS6EC22Nov202117Dec2021MandatoryNo.
Optional for students from other programmesYes, especially for ENVB-BE students.
Short descriptionThe course focuses at behavioural and welfare problems in animals. It addresses the (neuro)ethological basis, the implications for science and society, and clinical aspects.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum number of participants is 26.
To register the applicants are asked to send a short (max. 250 words) motivation letter to the course coordinator Vivian Goerlich-Jansson (v.c.goerlich-jansson@uu.nl). In the letter please explain why you want to take part in this course and why it is relevant for your further studies/career. A selection will be made based on the timing of registration (first come, first serve) and the motivation letter.
More informationFundamentals of Neuroscience and CognitionCourse catalogue code: BMB500103
10WKS15EC13Sep202119Nov2021MandatoryFor NSCN-CN and NSCN-ECN students.
Optional for students from other programmesNo.
Short descriptionThis course aims to provide starting N&C students, originating from various Bachelor's programmes, with a firm background in the main topics in neuroscience, to introduce research groups involved in the programme to facilitate internship selection and to give a first introduction into advanced neuroscience techniques.
Registration
Students NSCN are enrolled automatically after acceptance to the programme. More information about the registration procedure can be found here on the Studyguide.
More informationIntroduction to Programming using MatlabCourse catalogue code: BMB530421
8SESS3EC22Nov202106Dec2021MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course introduces computer programming to students with little or no programming experience. In this course the basics of programming philosophy, pseudocoding, programming algebra, indexing, programming syntax, logic and loops are given. Students will learn to program using MALTAB software. Students must have a laptop with an installation of MATLAB (https://students.uu.nl/gratis-software).
It is advisable to bring your own data from your research if possible and available, so it is possible to apply what you learn directly to your own data.
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Any questions can be asked to Mariana Branco (m.pedrosobranco@umcutrecht.nl).More informationMatlab for NeuroscienceCourse catalogue code: BMB150121
8SESS3EC07Dec202121Dec2021MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis course introduces MATLAB as a tool to solve basic neuroscience problems involving signal analysis, plotting and statistics. This course also teaches how to do troubleshooting, debugging, and use specific external toolboxes. The student must have a laptop with an installation of MATLAB (https://students.uu.nl/en/free-software) and must have prior knowledge of programming or have followed the Introduction to Programming using Matlab course
Note: The default toolboxes are sufficient, but you may also add the Bioinformatics, Curve Fitting, Global Optimization and Wavelet toolboxes.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide. Any questions can be asked to Mariana Branco (m.pedrosobranco@umcutrecht.nl).
More informationNeurocognition of memory and attentionCourse catalogue code: BMB501603
15SESS7.5EC07Feb202223May2022Mandatory* CN students are strongly recommended to follow one of these courses:
Social and Affective Neuroscience and/or Neurocognition of memory and attentionOptional for students from other programmesYes.
Short descriptionThis course covers topics in memory and attention research, especially those concerning the intersection of attention and memory. The main emphasis is on underlying neurobiological processes, as revealed in human and animal models.
The course consists of 15 sessions during the above time period, on monday afternoons at 15:15h - 17:00h.
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
The maximum of participants is 40.More informationNeurophilosophy of Mind and ConsciousnessCourse catalogue code: BMB518920
2MO7.5EC10Jan202231Mar2022MandatoryNo
Optional for students from other programmesYes
Short descriptionExact Enddate tba, March 2022The question that has baffled scientists and philosophers for centuries is > how molecules, cells, neurotransmitters and hormones in our brains create consciousness and self-awareness? There have been breakthroughs in the fields of philosophy, psychology, neuroscience and psychiatry, but the quest for understanding the origins of mind and consciousness continues. The MSc course Neurophilosophy of Mind and Consciousness provides students with novel and practical insights into this field from psychological, philosophical and neuroscientific perspectives. Main practical aim is to improve theorizing and writing skills to academic levels.
Neurophilosophy of Mind and Consciousness is a 7.5 EC course, which includes lectures, discussions, literature study and writing assignments
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.More informationPhilosophy of NeuroscienceCourse catalogue code: BMB501016
6WKS*5EC30May202230Jun2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe main aim of the course is to provide wide-ranging understanding of the significance, strengths and weaknesses of fields of neuroscience, which helps to cultivate critical thinking, creativity, methodological precision and scientific writing.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationSocial and Affective NeuroscienceCourse catalogue code: BMB504907
8WKS7.5EC12Jan202231Mar2022Mandatory* CN students are strongly recommended to follow one of these courses:
Social and Affective Neuroscience and/or Neurocognition of memory and attentionOptional for students from other programmesYes.
Short descriptionThe exact enddate will be announced at a later date.
This course offers extensive knowledge of theoretical and experimental paradigms in the neuroscience of social and affective behavior, based on the latest neuroscientific research developments in these fields.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More information
One Health
Basic Principles of Biostatistics, Epidemiology and Infection and ImmunityCourse catalogue code: BMB520817
1WKS1.5EC13Sep202117Sep2021MandatoryYes, for ONEH students.
Optional for students from other programmesNo.
Short descriptionTo ensure a comparable starting level with all students the master programme starts with a one week refresher course in epidemiology, infection and immunity and biostatistics. This week consists of self-study, Q&A sessions and a diagnostic test at the beginning and the end.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEnvironmental HealthCourse catalogue code: BMB521217
2WKS3EC25Oct202105Nov2021MandatoryYes, ONEH students.
Optional for students from other programmesYes.
Short descriptionThis course will provide an introduction in the basic principles of Environmental Health as an interdisciplinary science, and its application in specific cases of risk evaluation and assessment. The One Health concept recognises that health of people is connected to the health of animals and the environment and vice versa. In this course, we will mainly focus on the assessment of environmental exposures, and how to evaluate the influence of environmental exposures on human health. This will include, but will not be limited to, examples of how animals influence environmental exposures relevant for human health.
Registration: please register via Osiris Student.
More informationInfectious Diseases and One HealthCourse catalogue code: BMB521817
2WKS3EC04Oct202115Oct2021MandatoryYes, for ONEH students.
Optional for students from other programmesYes.
Short descriptionThis 2 weeks course focuses on bacterial and viral zoonotic diseases and antimicrobial resistance (AMR). Several aspects of AMR including the importance for animal and public health and risk factors for development will be discussed. Examples of (emerging) infectious zoonotic diseases will be presented.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationInterdisciplinary Research in One HealthCourse catalogue code: BMB519817
1WKS1.5EC20Sep202124Sep2021MandatoryYes, for ONEH students.
Optional for students from other programmesNo.
Short descriptionWithin One Health research an interdisciplinary approach is essential. This course gives an overview of interdisciplinary principles and provides instructions on how to apply these in a research project. Examples of interdisciplinary research projects will be discussed. The students perform exercises to practice their interdisciplinary research skills.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationIntroduction to One HealthCourse catalogue code: BMB518817
1WKS1.5EC27Sep202101Oct2021MandatoryYes, for ONEH students.
Optional for students from other programmesYes.
Short descriptionThe One Health concept recognizes that health of people is connected to (the health of) animals and the environment and vice versa. In this course several One Health topics, such as ecosystems, environmental reservoirs, contamination in the food chain and global health are highlighted by several research experts.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationMathematical Modelling of Infectious Diseases (summerschool)Course catalogue code: BMB524817
2WKS3EC04Jul202215Jul2022MandatoryYes, for EPIM & EPMM students with certain specializations and ONEH students.
Optional for students from other programmesNo.
Short descriptionSummer School. Register here(link is external).
The course focusses on concepts and methods of mathematical modelling of infectious diseases. Applications to specific infectious diseases and intervention strategies will be discussed.
Max. 40 participants.
More informationRisk Assessment in One HealthCourse catalogue code: BMB523418
1WKS1.5EC18Oct202122Oct2021MandatoryYes, for ONEH students.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to give insight in the risk assessment process in one health topics such as food safety and pathogens in the environment.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More information
Regenerative Medicine and Technology
BiomaterialsCourse catalogue code: BMB503815
3.5WKS5EC07Feb202224Apr2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriod: Quartile 3, timeslot C; please check the TU/e-site for the specific dates of the course.
This course will introduce you to different classes of biomaterials and will show you which processes play a role at the molecular level at the biomaterial-tissue interface.
Registration:
Please register at the TU/e, course code: 8SM20. Osiris registration will be done retroactively when results from the TU/e are received.
More informationBone Structure and FunctionCourse catalogue code: BMB503715
3.5WKS5EC07Feb202224Apr2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriod: Quartile 3, timeslot B; please check the TuE-site for the specific dates of the course
This course is about strength and stiffness of bone, composition, genesis, adaptation, degeneration and repair.
Registration:
Please register at the TU/e, course code: 8TM00. Osiris registration will be done retroactively when results from the TU/e are received.
More informationCardiac Regenerative MedicineCourse catalogue code: BMB580117
2WKS3EC06Feb202317Feb2023MandatoryFor BoD students**
** This course is one of the specific cardiovascular BoD-courses. Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes. RMT and BoD students have priority for enrollment.
Short descriptionStudents are familiarised with regenerative medicine in cardiac diseases. Topics include cardiac development, reprogramming, and RM treatment options. In addition, students are introduced in the interpretation and processing of study data, and get acquainted with the impact of research on society, in particular on patients.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationCell Mechanobiology and EngineeringCourse catalogue code: BMB504016
3.5WKS5EC15Nov202106Feb2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriod: Quartile 2, timeslot B; please check the TU/e-site for the specific dates of the course.
This course will introduce you to different classes of biomaterials and will show you which processes play a role at the molecular level at the biomaterial-tissue interface.
Registration:
Register in Eindhoven with code 8MM40. Osiris registration will be done retroactively when results from the TU/e are received.
More informationClinical ChemistryCourse catalogue code: BMB503315
2WKS2.5EC06Sep202114Nov2021MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriod: Quartile 1, timeslot B1; please check the TuE-site for the specific dates of the course.
This course addresses the role of laboratory medicine in health care. Principles of medical decision making, (patho)physiology, organ function, analytical techniques, clinical cases that illustrates how a laboratory contributes to diagnosis, prognosis and monitoring of disease are adressed. Patient cases are discussed. The course includes the option to visit the clinical laboratory of Catharina Ziekenhuis.
Registration
Please register at the TU/e, course code: 8SM00. Osiris registration will be done retroactively when results from the TU/e are received.
More informationFundamentals of Biofabrication (online course) Course catalogue code: BMB502816
9WKS3EC14Nov202227Jan2023MandatoryNo.
Optional for students from other programmesOpen as an elective to all GSLS students.
Short descriptionBiofabrication combines advanced 3D fabrication techniques with biological systems to create complex tissue constructs, which can be applied for tissue engineering, as 3D in vitro biological models, or as medical therapeutic products. This online course aims to provide the student with the fundamental knowledge on the various aspects of biofabrication, including 3D printing techniques, biomaterials, tissue engineering, applications, translation and ethics.
Practical information
This is an online course stretching over 9 weeks with a study load of approximately 10 hours per week.Please note: the course contains weekly deadlines for individual and group assignments, so students should take this into consideration when signing up.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.You will be asked to submit a 200-300 word motivation letter before the 3rd of October 2021, describing your reasons for taking this course: your willingsness to participate in its discussions and assignments and to meet deadlines. Please send it in an e-mail to Paulina Nunez Bernal.
Students from outside the Graduate School of Life Sciences can register for this course by sending an e-mail to Paulina Nunez Bernal. Please include your name, student number, Master's programme and the course code.
The maximum number of participants is 20.
More informationIntroduction to Regenerative Medicine and TechnologyCourse catalogue code: BMB508612
10WKS15EC13Sep202112Nov2021MandatoryFor RMT students.
Optional for students from other programmesNo.
Short descriptionThis course provides the students with a broad overview and background in ‘Regenerative Medicine and Technology’. Lectures and group projects will prepare the students for research into tissue regeneration technologies.
Registration:
Students of RMT will be automatically enrolled in this course. Please send an email to rmt@umcutrecht.nl before August 30th, 2020 to confirm your participation in the programme.
More informationIntroduction to Stem CellsCourse catalogue code: BMB509018
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes. Registrations from Master and PhD students of the CSDB and RMT programs will be considered first.
Short descriptionThis course will address both fundamental mechanisms regulating stem cell function as well as considerations concerning the use of stem cell therapies in the clinic.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 60 students.
More informationMicrofabrication MethodsCourse catalogue code: BMB504015
3.5WKS5EC25Apr202210Jul2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionThis course is taught twice a year. Period: Quartile 1, timeslot B. Quartile 4, timeslot B; please check the TU/e-site for the specific dates of the course.
PLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN.
Advanced products such as mobile phones and modern (bio-) medical devices are manufactured using special, modern technologies. These micro-fabrication methods make it possible to structure and combine materials on a (sub) micrometer scale. Knowledge and experience with these methods is essential for the advanced manufacturing industry, e.g. at companies like ASML, NXP, Philips, but also many small companies developing sensors, actuators, and other advanced components and devices. In this course, you will learn about the most important methods; the principles, advantages, and disadvantages, will be explained. As part of the course, you will design, make, and test a device yourself in the TU/e Microfab Lab.
Registration:
Register in Eindhoven. Due to limitations regarding the practical sessions, enrolment in the course is limited to a maximum of 30 students.
Please register at the TU/e, course code: 4UM00. Osiris registration will be done retroactively when results from the TU/e are received.More informationMicroscopy for Biological SamplesCourse catalogue code: BMB503214
3WKS2.5EC25Apr202210Jul2022MandatoryNo.
Optional for students from other programmesOpen for RMT students.
Short descriptionPeriod: Quartile 4, timeslot B1; please check the TuE-site for the specific dates of the course.
PLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN.
The course is meant for students that may have to do light microscopy on biological samples for their internship(s) or MSc-project, and for students that are interested in biomedical applications of optics in general. After completion of this course one has obtained a thorough background in the possibilities and limitations of various optical-microscopic techniques, in particular the possibilities and limitations related to biological samples.
Registration:
Please register at the TU/e, course code: 8MM10. Osiris registration will be done retroactively when results from the TU/e are received.
More informationNanomedicineCourse catalogue code: BMB518519
10WKS5EC25Apr202210Jul2022MandatoryNo
Optional for students from other programmesNo, for RMTM students only.
Short descriptionPLEASE NOTE THAT THIS COURSE IS TAUGHT AT TU/e
Nanotechnology is defined as the understanding and control of matter at dimensions of roughly 1 to 100 nanometers, a scale at which unique properties of materials emerge that can be used to develop novel technologies and products. Nanomedicine is the application of nanotechnology for biomedicine. Roughly, this involves the exploitation of nanotechnology for diagnostic purposes, for the generation of biomaterials, as well as the (systemic) administration of nanomaterials to the body. This course will focus on the latter category, in which biocompatible nanomaterials are designed for drug delivery, immunotherapy and diagnostic imaging
Registration
Application via Osiris TU/e: 15-11-2021 t/m 27-03-2022
Please register at the TU/e, course code: (8SM40). Osiris registration will be done retroactively when results from the TU/e are received.More informationOrthopaedic soft tissues: biomechanics and mechanobiologyCourse catalogue code: BMB503515
3.5WKS5EC15Nov202106Feb2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriod: Quartile 2, timeslot A; please check the TuE-site for the specific dates of the course.
The aim of this course is to teach about several aspects of cartilage from both a mechanical and biological perspective.
Registration:
Please register at the TU/e, course code: 8TM10. Osiris registration will be done retroactively when results from the TU/e are received.More informationPlasma MedicineCourse catalogue code: B-MPLAME
2WKS3EC30May202216Jun2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThe course will be given in period 3 or 4.
Plasma medicine is a new field of medicine in which cold-atmospheric plasmas (CAPs), i.e. physically-generated plasmas of nearly body temperature, are used to treat infected wounds and even cancers. In this interdisciplinary course, you will learn fundamentals of plasma physics, the chemistry and generation of plasma reactive species, interaction of CAP with biological structures such as membranes, killing mechanisms of pathogens and cancer cells and the current use of CAP in the clinic. The course will also focus on the experimental approach that is used to study cold atmospheric plasma at the evoked levels.
This course will have theoretical and practical elements. The theoretical part will be supported by lectures from the TU/e, UMC, and UU. The practical part will cover experiments on CAP generation of reactive species, interaction with model membrane systems, microorganisms and cancer model systems.
More informationProtein EngineeringCourse catalogue code: BMB503415
3WKS2.5EC15Nov202106Feb2022MandatoryNo.
Optional for students from other programmesNo.
Short descriptionPeriode: Quartile 2, timeslot D; please check the TuE-site for the specific dates of the course.
PLEASE NOTE THAT THIS COURSE IS TAUGHT IN EINDHOVEN
In this course important methods and techniques (both molecular-biological and chemical) will be discussed that can be used to develop new proteins with new and biomedically attractive properties.
Registration:
Please register at the TU/e, course code: 8SM10. Osiris registration will be done retroactively when results from the TU/e are received.
More informationVascularized Tissue Engineering (online course)Course catalogue code: BMB507319
10WKS3EC07Feb202224Apr2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionTissue engineering (TE) is an ever-growing multidisciplinary scientific field aiming at replacing injured, missing or damaged tissue. This course teaches Master students’ in-depth and hands-on knowledge on developmental and adult blood vessel formation in health and disease and the current clinical treatments for which vascular(ized) TE is thought to be eligible. Moreover, we will address state of the art techniques of vascular(ized) TE, including the use of biomaterials and cell sources for bioreactor-cultured and in situ applications.
Please note:
This is an online course stretching over 7 weeks with a study load of approximately 9-10 hours per week. Please take into account that the studyload is divided over the week so you will need to be able to login on various moments (taking into account vacation days).
Registration:
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 32 students.
Students from outside Utrecht University can register for this course by sending an email to m.m.krebber-2@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More information
Science and Business Management
Biology of Disease - Infection and Immunity Course catalogue code: BMB501103
2WKS3EC26Sep202207Oct2022MandatoryFor BoD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses
Optional for students from other programmesYes, except for I&I students.
Short descriptionStarting with clinical cases, the pathophysiology of infectious and immune diseases will be presented. New concepts and therapies will be discussed.
Registration
Please send an overview of your previous knowledge in I&I to secretary.iimaster@umcutrecht.nl and register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.The maximum number of participants is 45.
More informationBiotechnologyCourse catalogue code: B-MBITEC
3WKS5EC14Nov202202Dec2022MandatoryNo.
Optional for students from other programmesYes, for ENVB students.
Short descriptionThis course is an introduction in Biotechnology. It will give an overview of different fields in biotechnology (molecular techniques, bacterial biotechnology, fungal biotechnology, plant biotechnology, industrial biotechnology, medical biotechnology, animal biotechnology) with special emphasis on new developments. In addition, other aspects related to biotechnology, such as intellectual property rights, ethical concerns and the marketability of a product are discussed.
More informationBiotechnology and the Societal ChallengeCourse catalogue code: B-MSBBSC22
3WKS4EC13Sep202205Oct2022MandatoryNo.
Optional for students from other programmesNo. Other GSLS students can enroll in B-MSBBSC 5 EC (see 'General elective courses')
Short descriptionThe European Union has defined 7 societal challenges. The course will address how biotechnology could have an impact on 4 of these societal challenges (i.e. health, demographic change, and wellbeing). Participants will be introduced to plant and microbial biotechnology, patents and ethics. Moreover, they will come up with a biotechnology based solution for one of the societal challenges.
More informationEssentials of NeuroscienceCourse catalogue code: BMB416005
2WKS3EC07Nov202220Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course is intended for non-neuroscience master students who would like to get more background in neuroscience. The lectures during the course cover a broad range of neuroscience topics from gene to neurological disease.
Registration
Please be aware this course code is offered online as well. For this Face-2-Face version be sure to select the correct Block: BMS_P1_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEssentials of Neuroscience (online course)Course catalogue code: BMB416005
9WKS3EC16Jan202327Jan2023MandatoryFor BOD students**
** Additional to the mandatory Kick off course, BoD students should accomplish 12 EC with specific (cardiovascular) BoD courses.
Optional for students from other programmesYes, except for NSCN students.
Short descriptionThis course gives you a unique opportunity to study the state of the art insights in Neurosciences, discover the research strengths of UMC Utrecht and experience our educational philosophy.
Registration:
Please be aware this course code is offered face-2-face as well. For this Online version be sure to select the correct Block: BMS_P2_A.You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Students from outside the Graduate School of Life Sciences can register for this course by sending an email to L.vanOudenaarden@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
More informationFinancial ManagementCourse catalogue code: B-MSBFIMA
7WKS5EC05Sep202219Oct2022This course is also taught from06 Feb 2023 till 22 Mar 2023
MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionThe course Financial management discusses various aspects related to the accounting, investment and financing decisions faces by organizations. Accounting refers to the process of identifying, measuring and communicating economic information about an organization for the purpose of making decisions and informed judgments. In the first part of the course, the finance function, the annual report and the associated financial statements are discussed. In the finance part, investment and financing decisions are investigated.
More informationInternational Business Course catalogue code: B-MSBECO
7WKS5EC05Dec202202Feb2023MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionInternationally active firms need a solid toolkit to analyse the context in which they operate. This course provides you with knowledge of modern international business economics to use for managerial decision making. It provides a general overview of trade theory including international finance, tools for country analysis, cross cultural management, and foreign market entry strategies. It also provides a solid background for analysing international strategy and organisation including supply chain management and international human resource management.
More informationIntroduction to Science Based CompaniesCourse catalogue code: B-MSBISBC
1WK1.5ECStartdateTBAEnddateTBAMandatoryYes.
Optional for students from other programmesNo.
Short descriptionIntroduction of basic business principles of science based companies. Lecturers, guest lectures and alumni will give lectures and workshops on Patent Law, Entrepreneurship, Ethics etc. Also this course the students will be stimulated to work on their development of insight in their own motivation, preferences and perspectives. This will increase their effectiveness in the workplace and will help them to make career choices.
More informationIntroduction to Stem CellsCourse catalogue code: BMB509018
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes. Registrations from Master and PhD students of the CSDB and RMT programs will be considered first.
Short descriptionThis course will address both fundamental mechanisms regulating stem cell function as well as considerations concerning the use of stem cell therapies in the clinic.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
Maximum number of participants is 60 students.
More informationMarketingCourse catalogue code: B-MSBMAR
5WKS5EC24Oct202228Nov2022MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionMarketing management focuses upon the way companies identify markets for their products, how they position and promote their products, and how they sell their products.
More informationMetabolic Pathways: From Cell to DiseaseCourse catalogue code: BMB501314
2WKS3EC06Feb202317Feb2023MandatoryCSDB: can be part of the 15 EC Theoretical Courses
BOD: can be part of the 15 EC Theoretical Courses (BoD students should accomplish 12 EC with specific BoD courses) only when you do not participate in the Track Cardiovascular Research (CVR). When you do participate in this track, this course can only be used as an Elective.Optional for students from other programmesYes, but only when the maximum enrolment of 40 has not yet been reached.
Short descriptionThis course focuses on endocrine and metabolic processes, and in particular their dysregulation in cancer and type 2 diabetes mellitus. Lectures and tutorials in the first week discuss the molecular mechanisms in the liver, pancreas, brain and fat tissue that are involved in regulating glucose and fat homeostasis.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
CS&D students (max. 20) and Biology of Disease students (max. 20) and other GSLS students.
More informationOperations ManagementCourse catalogue code: B-MSBOPMA
5WKS5EC24Oct202224Nov2022MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionIn a today’s dynamic and competitive business environment, statistical and quantitative analysis support managerial decision-making processes. One of the key factors for the successful manager is to have the ability to use systematic methods to analyze the given problem, and make informed decisions. This course introduces the students to basic statistical and quantitative models/tools and illustrates the application of these tools to different decision problems from management functions such as Operations & Supply Chain Management. The course focuses on helping students to understand the basic statistical concepts and model building/problem solving skills.
More informationOrientation on Presentation and CareerCourse catalogue code: B-MSBOPC
1YR2EC05Sep202231Aug2023MandatoryYes.
Optional for students from other programmesNo.
Short descriptionIntroduction, return meetings and essay. Events continuous through the year.
The seminar days are meant to underline the interdisciplinarity of the group, to keep the focus on applications, to learn from each other's mistakes and to celebrate each other's successes.
More informationPublic ProcurementCourse catalogue code: B-MSBFUFO
12WKS3EC03Oct202213Dec2022MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionWith the help of public procurement, a major impact can be made on our society. Every year, governments purchase for billions of euros. This is not so much about the purchase of pens and pencils, but rather about the purchase of, for example, works, ICT services, and health care. The way in which all of this is purchased can vary enormously within and between countriest. One of the key questions in this course is how procurement objectives can be realized efficiently and effectively.
More informationScience Based EntrepreneurshipCourse catalogue code: B-MSBENSH
10WKS5EC05Dec202230Jan2023MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionIn Entrepreneurship, students integrate knowledge from previous modules. Issues such as the entrepreneurial process (idea generation, opportunity recognition and opportunity evaluation), the identification of market relations and network, the understanding of different entrepreneurial cultures, and entrepreneurial concepts are being discussed. In addition, students apply acquired knowledge; this includes the development, evaluation and presentation of a business plan.
More informationStrategic Management of Innovation Course catalogue code: B-MSBORBE
6WKS5EC05Sep202217Oct2022MandatoryYes, for SBM students and students of the Management profile.
Optional for students from other programmesNo.
Short descriptionStrategic management is a field of study concerned with developing an understanding of why some firms are more successful than others. To be successful, the firm’s strategy must permeate all departments and functional areas. To advance students’ comprehension of how a company could potentially outperform its rivals, the course focuses on the key theoretical ideas and concepts particularly related to competitive advantages and managing innovation.
More informationUnderstanding DrugsCourse catalogue code: DI-407
2WKS3EC05Dec202216Dec2022MandatoryNo.
Optional for students from other programmesYes.
Short descriptionDuring this course we will try to achieve the starting level for the Drug Innovation Master’s programme. We will offer workshops on the topic of "Understanding Drugs", encompassing the fields of bioorganic chemistry, pharmacokinetics, pharmacodynamics, pharmaceutics, anatomy and physiology, biochemistry, analytical chemistry, and pharmacotherapy.
More information
Toxicology and Environmental Health
Basic Principles in Toxicology and Environmental HealthCourse catalogue code: BMB520717
1WKS1.5EC13Sep202117Sep2021MandatoryYes, for TXEH students.
Optional for students from other programmesNo.
Short descriptionThis course aims to provide starting TXEH students, originating from various Bachelor's programmes, with a common foundation in the main disciplines needed in risk assessment: toxicology, epidemiology and statistics.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEffect Assessment in Toxicology and Environmental EpidemiologyCourse catalogue code: BMB505507
4WKS6EC11Oct202105Nov2021MandatoryFor TXEH students.
Optional for students from other programmesYes.
Short descriptionDuring this four weeks course students will learn to relate toxicological and epidemiological health effects to actual risk in human population (and animals). They will learn about dose response assessment and hazard assessment.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationEnvironmental Epidemiology (summerschool)Course catalogue code: BMB504006
2WKS3EC21Jun202102Jul2021MandatoryNo.
Optional for students from other programmesYes.
Short descriptionThis summerschool will provide the student with insight in the principles and important issues of environmental and occupational epidemiology.
More informationExposure ScienceCourse catalogue code: BMB521717
3WKS4.5EC20Sep202108Oct2021MandatoryYes, for TXEH students.
Optional for students from other programmesYes.
Short descriptionExposure assessment is an essential component of risk assessment. In this course all relevant aspects of exposure assessment, both in the general environment and for human health will be discussed.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More informationRisk Assessment and Risk ManagementCourse catalogue code: BMB500803
2WKS3EC08Nov202119Nov2021MandatoryFor TXEH students.
Optional for students from other programmesYes.
Short descriptionThe aim of this course is to give insight in the risk assessment process: how exposure limits and standards are derived, what implicit assumptions are made, and how uncertainties may be evaluated and can be dealt with.
Registration
You can register for this course via Osiris Student. More information about the registration procedure can be found here on the Studyguide.
More information