| 1 | Advanced Imaging techniques | MLBI0901 |
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| 2 | Advanced Light Microscopy | WMLS13004 |
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| 3 | Advanced Metabolism & Nutrition | MLBMS06 |
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| 4 | Advanced Statistics | WMLS19002 |
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| 5 | Animal and Human Experimentation | MLAA01 |
This course is in transition to a completely new e-learning format in 2020. Please be prepared for possible change during the academic year. The learning objectives, content and judgement will be very similar, but the format is changed to learning via videos, quizzes, and assignments.
Enrolling in this course is only finalized once you will have completed following your first instruction in NESTOR. Thereafter, selected course participants will work within a google classroom environment, where more detailed information will be provided.
The aim of the course is to prepare students starting a master research project in which they participate in animal or human experimentation, with respect to methodological, practical and ethical aspects. At the end the students are prepared to carry out the masterproject, under supervision of and guided by the CCD or METC permit holder. The course has a blended classroom format with a limited contact hours. The students complete an online portfolio after practical instructions in their master project, and conduct the theoretical part as a homework assignment. They will also participate in a tour through the animal/human facility to learn about practical procedures while performing their study and the people involved, and attend a contact hour with an interactive lecture when topics can be discussed. The theoretical part consists of 6 modules containing information on (1) Ethics and researcher integrity in animal and human experimentation, (2) Rules & Regulations in animal and human experimentation, (3) Research question, experimental and statistical design, (4) Choice of experimental model and subjects, (5) Animal experimentation in practice, and (6) Human experimentation in practice. By in-depth reading of scientific papers, looking up content on the internet and by self-reflection, students will learn about scientific, practical and societal aspects of working with animals and/or humans during their masterproject. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. B. Helm | | Docent(en) | dr. P.R.A. Heckmanprof. dr. B. Helm | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Practisch werk (PR), Schriftelijk tentamen (WE) | | ECTS | 5 | | Entreevoorwaarden | Students need to have completed their Bachelor Degree in Biology, Life Sciences and Technology, Biomedical Sciences, Medicine, or Pharmacy. A supervisor approved planning of a master research projects involving human or animal experimentation is required.
The course is compulsory for master students planning to work with animals during their research project and advised for those
working with humans. Following the course is exclusively possible in combination with a research master project involving animals or
humans | | Opmerkingen | The homework assignment will be judged on: (1) Grammar and spelling, (2) argumentation, (3) creativity, (4) accuracy, (5)
formation of opinions, (6) thinking process on ethical problems, and (7) text structure. A rubric is available to students. The
course is pass / fail, and to pass, each of the above 7 items needs to be passed. If the work is insufficient students need to
redo the asignment.
Participation in the tour and the interactive lecture is obligatory to complete the course |
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| 6 | Behavioural Pharmacology | MLBCNB07 |
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| 7 | Cancer Research | WMBM15001 |
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| 8 | Colloquium BMS | WMBM14C001 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | ECTS | 5 |
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| 9 | CRISPR editing | WMBM17003 |
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| 10 | Current Themes in Healthy Ageing | MLBMS03 |
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| 11 | Current Themes in Oncology | WMBM18003 |
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| 12 | Drug Development: from Design to Evaluation | WMMP18001 |
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| 13 | Electives BMS-Neuro | MLELBMS5 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | ECTS | 10 |
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| 14 | Essay BMS | WMBM14E001 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | ECTS | 5 |
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| 15 | From Big Data to Personalised Medicine | WMBM17001 |
At the end of the course, the student is able to:
1) - reproduce the basic principles and usage of state-of-the-art genomics, transcriptomics and epigenetic research
techniques
2) - argue why large biobanks and public data can make an impact on biomedical research
3) - outline various ways in which genetic variation, epigenetics and protein levels can affect disease outcome
4) - articulate what personalized medicine is
5) - apply a research question in the experimental set-up of a clinically relevant genomics project
6) - generate transcriptomics data in the context of a clinically relevant genomics project
7) - utilize data of various large (epigenetic) consortia (epigenome roadmap, ENCODE, Blueprint, GTex, etc)
8) - integrate transcriptomics data and with other genomics data
9) - report the outcomes of a genomics project in a short research manuscript |
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| 16 | Immunology: from bedside to bench and back | MLBMS05 |
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| 17 | Introduction Science and Business | WNBIBEB08A |
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| 18 | Introduction Science and Policy | WNBIBEB08B |
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| 19 | Introduction to Biomedical Sciences | WMBM17002 |
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| 20 | Introduction to the Behavioural and Cognitive Neurosciences | MLBCN011 |
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| 21 | Master Modules BMS-Neuro | MLMODBMS5 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | ECTS | 30 |
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| 22 | Microbiological Safety | WMMP15001 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. B.L. Waarts | | Docent(en) | dr. B.L. Waarts | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC) | | Toetsvorm | Meerkeuze toets (MC), Practisch werk (PR) | | ECTS | 1 |
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| 23 | Microbiome and Health | WMBM16001 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | S. El Aidy, PhD. | | Docent(en) | S. El Aidy, PhD. | | Onderwijsvorm | Bijeenkomst (S), Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC) | | Toetsvorm | Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 5 | | Opmerkingen | Capacity: 32. This is a MSc. Biomedical Sciences course unit: see student portal for priority regulations. |
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| 24 | Molecular Biology of Ageing and Age-related Diseases | MLBMS08 |
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| 25 | Neurobiology of Nutrition | WMBM15002 |
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| 26 | Neurobiology of Psychiatric Disorders | WMBM18001 |
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| 27 | Neurodegenerative Diseases | MLBMS01 |
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| 28 | Nutrition, Brain Development and Cognition | WMBM16000 |
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| 29 | Nutrition in Medicine | WMBM15003 |
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| 30 | Orientation on International Careers | WMLS09002 |
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| 31 | Practical Bioinformatics for Biologists 20/21 | WMLS15005 |
Practical Bioinformatics for Biologists (PBfB) introduces students to use general computational tools to work more effectively on a
daily basis. It pulls together a broad range of free powerful, and flexible tools that are applicable to geneticists, molecular biologists,
ecologists, oceanographers, physiologists, and anyone interested or in need of bioinformatics in their research. It features practical
use of bioinformatic techniques to solve real analysis problems.
PBfB will cover the “nuts and bolts” of data centered computing tasks in a Unix/Linux environment. Basics of using such an
environment, including installing and running software on remote machines will be introduced. Students will become familiar with
command line tools to explore and analyze data, and explore the use of scripting languages such as Python and R to (a) write
custom analysis tools as needed and (b) act as “glue” to make effective pipelines of other tools. Practical use of databases and
how to retrieve data from remote public databases will be introduced. Various data visualization technics, including among other GIS
tools, will be introduced using R statistical language.
Topics address in PBfB will use concrete example taken from various field, for example data from Next Generation Sequencing (NGS) technologies in genetics and molecular biology, as well as remote sensing and oceanographic data widely used in environmental ecological and evolutionary biology.
The course consists of short lectures featuring new concepts and examples interspersed with practical computer exercises and individual assignments. During the last week, students will prepare a project assignment in small groups featuring the use of the skills learned during the course and aiming at solving a concrete example. Students will present and explain their pipeline and results to the group in an oral presentation during the last days of the course. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | M.C. Fontaine, PhD. | | Docent(en) | M.C. Fontaine, PhD. | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Practisch werk (PR) | | ECTS | 5 | | Opmerkingen | Students are expected to bring their own personal laptops for the course. In the case a student would not have a laptop, one can be
provided during the course.
Specific instructions are send a few weeks ahead of the course on how to set-up the computer. Students should follow carefully and
meticulously those instructions |
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| 32 | Programming C++ for Biologists | WMLS17003 |
This course, which is specifically designed for biology students, teaches the participants how to develop software in the programming language C++. Emphasis is given to the implementation of biological models, using individual-based simulations and various numerical methods for dynamical systems analysis.
Students are able to tailor the contents of the course to their own level of proficiency. For students with no prior programming experience, the course offers an introduction to the essentials of the C++ programming language, including:
• Procedural programming: data types, operators, program flow and functions
• The Standard Template Library
• Data input, generation of output including statistics like mean and standard deviation
• Numerical simulation techniques for biological models
More experienced programmers (including those who followed the BSc level course WBLS16002) can instead focus on advanced topics, such as:
• Program design, algorithms and debugging
• Pointers and memory allocation
• Object-oriented programming
• Pseudo-random numbers and stochastic simulations
The course consists of two parts: during the first three weeks (5 ECTS), students extend their programming skills by learning a new element of the programming language each day, and practise its application in programming exercises. The final three weeks of the course (5 ECTS) are devoted to a programming project. Here, students work on a biological research question of their choice and
design and implement a simulation algorithm from scratch. They also learn how to systematically collect simulation data, and to present their results in an oral presentation, with associated annotated program code and documentation.
Students may choose to omit the final project and receive a grade for a 5 ECTS course (MLAA05) after completing the first half of the program, or may work independently on their programming project at a suitable later time. The course is also available as a selfstudy course. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. G.S. van Doorn | | Docent(en) | dr. J. Bakkerdr. G.S. van Doorn | | Onderwijsvorm | Practisch werk (PRC), Hoorcollege (LC), Opdracht (ASM) | | Toetsvorm | Opdracht (AST), Practisch werk (PR), Presentatie (P) | | ECTS | 5 | | Entreevoorwaarden | No specific entry requirements have been formulated for the course, except for elementary computer literacy. | | Opmerkingen | Maximum 25 master students/ 5 PhD students
This course is accessible for students without prior programming experience. Such students will acquire a solid background in procedural programming techniques, and will have the opportunity to develop advanced programming skills based on facultative self-study material. Students who demonstrate to possess elementary programming skills will be offered advanced classes on object-oriented programming.
This is a full-time course. It is not advisable to plan other activities in parallel |
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| 33 | Radioisotopes in Experimental Biology | MLAA03 |
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| 34 | Research Methods in SEC | WMEC13007 |
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| 35 | Research Project 1 Biomedical Sciences | WMBM14RP1 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | Onderwijsvorm | Opdracht (ASM), Practisch werk (PRC) | | Toetsvorm | Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 40 |
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| 36 | Research Project 2 Biomedical Sciences | WMBM14RP2 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | Onderwijsvorm | Opdracht (ASM), Practisch werk (PRC) | | Toetsvorm | Verslag (R) | | ECTS | 30 |
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| 37 | Scientific writing | WMBM12001 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. G. Krenning | | Docent(en) | dr. G. Krenning | | Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC) | | Toetsvorm | Opdracht (AST) | | ECTS | 5 |
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| 38 | Skills in Science Communication | WMEC13004 |
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| 39 | Stem Cells & Regenerative Medicine | MLBMS04 |
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| 40 | Tools and approaches of systems biology | MLBB010 |
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| 41 | Translational Research in Respiratory Disease | WMBM18002 |
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