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Informatie over MSc Biomedical Sciences: Neuroscience
Hieronder staan het programma en de vakomschrijvingen van MSc Biomedical Sciences: Neuroscience Klik op de naam van een vak in een schema om naar de omschrijving te gaan.
| » General Outline | |||||||
| Periode | Type | Code | Naam | Taal | ECTS | Uren | |
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| hele jaar | verplicht | WMBM001-05 | Colloquium BMS | Engels | 5 | ||
| verplicht | MLELBMS5 | Electives BMS-Neuro | Engels | 10 | |||
| verplicht | WMBM003-05 | Essay BMS | Engels | 5 | |||
| verplicht | MLMODBMS5 | Master Modules BMS-Neuro | Engels | 30 | |||
| verplicht | WMBM901-40 | Research Project 1 Biomedical Sciences | Engels | 40 | |||
| verplicht | WMBM902-30 | Research Project 2 Biomedical Sciences | Engels | 30 | |||
| Opmerkingen | See below for Master courses and Electives | ||||||
| » Masters Courses | |||||||
| Periode | Type | Code | Naam | Taal | ECTS | Uren | |
| semester I a | verplicht | WMBC003-05 | Behavioural Pharmacology | Engels | 5 | ||
| verplicht | WMBM022-05 | Biomedical Sciences: Professional Perspectives | Engels | 5 | |||
| verplicht | WMBM023-05 | Data Science in Biomedicine | Engels | 5 | 40 | ||
| verplicht | WMBM012-05 | Neurodegenerative Diseases | Engels | 5 | 40 | ||
| semester I b | verplicht | WMBM018-05 | Neurobiology of Psychiatric Disorders | Engels | 5 | ||
| keuzegroep A | WMBM017-05 | Molecular Biology of Ageing and Age-related Diseases | Engels | 5 | |||
| keuzegroep A | WMBM020-05 | Nutrition, Brain Development and Cognition | Engels | 5 | |||
| semester II b | keuzegroep A | WMBY015-05 | Advanced Imaging Techniques | Engels | 5 | ||
| Opmerkingen | Compulsory + choose 1 from option group A | ||||||
| » Electives (10 ECTS) | |||||||
| Periode | Type | Code | Naam | Taal | ECTS | Uren | |
| hele jaar | keuze | WMBY019-05 | Animal Experimentation | Engels | 5 | ||
| keuze | WMBM002-05 | Current Themes in Healthy Ageing | Engels | 5 | |||
| semester I | keuze | WMSE002-10 | Introduction Science and Policy | Engels | 10 | 40 | |
| keuze | WMMP004-01 | Microbiological Safety | Engels | 1 | 16 | ||
| semester I a | keuze | WMBM004-05 | Advanced Metabolism & Nutrition | Engels | 5 | ||
| keuze | WMBM005-05 | Cancer Research | Engels | 5 | 40 | ||
| keuze | WMBM006-05 | CRISPR editing | Engels | 5 | |||
| keuze | WMBM007-05 | Current Themes in Oncology | Engels | 5 | 40 | ||
| keuze | WMMP006-05 | Drug Development: from Design to Evaluation | Engels | 5 | |||
| keuze | WMBM008-05 | From Big Data to Personalised Medicine | Engels | 5 | |||
| keuze | WMSE001-10 | Introduction Science and Business | Engels | 10 | |||
| keuze | WMBC007-04 | Introduction to the Behavioural and Cognitive Neurosciences | Engels | 4 | |||
| keuze | WMBM010-05 | Microbiome and Health | Engels | 5 | |||
| keuze | WMBM011-05 | Neurobiology of Nutrition | Engels | 5 | 40 | ||
| keuze | WMBM013-05 | Scientific writing | Engels | 5 | |||
| keuze | WMBM014-05 | Stem Cells & Regenerative Medicine | Engels | 5 | 40 | ||
| keuze | WMBS005-05 | Tools and approaches of systems biology | Engels | 5 | |||
| keuze | WMBM015-05 | Translational Research in Respiratory Disease | Engels | 5 | |||
| semester I b | keuze | WMBM016-05 | Immunology: from bedside to bench and back | Engels | 5 | ||
| keuze | WMFA047-05 | Nanomedicine and nanosafety | Engels | 5 | |||
| keuze | WMBM019-05 | Nutrition in Medicine | Engels | 5 | 40 | ||
| keuze | WMBY008-05 | Practical Bioinformatics for Biologists | Engels | 5 | 40 | ||
| keuze | WMBY010-05 | Programming C++ for Biologists | Engels | 5 | |||
| keuze | WMBY011-05 | Radioisotopes in Experimental Biology | Engels | 5 | |||
| semester II | keuze | TEM0105 | Basiscursus Master Lerarenopleiding | Nederlands | 5 | variabel | |
| keuze | TEM0205 | Masterstage 1 Lerarenopleiding | Nederlands | 5 | variabel | ||
| keuze | WMBY014-05 | Orientation on International Careers | Engels | 5 | |||
| semester II b | keuze | WMBY016-05 | Advanced Light Microscopy | Engels | 5 | ||
| keuze | WMBY018-06 | Advanced Statistics | Engels | 6 | |||
| 1 | Advanced Imaging Techniques | WMBY015-05 | |||||||||||||||||||||||||||
| The major incentive of the course is getting acquainted with a broad range of modern imaging techniques which are being used in the neurosciences. Students are trained to be able to explain the principles underlying the technique, its use and its limitations. For specific research questions, students learn to be able to decide which technique is most suitable. Students are also trained to present a relevant scientific article. They prepare a PowerPoint presentation and present it to the other master students participating in the course and receive feedback about their performance. Techniques involved are among others PET, (f)MRI, electron microscopy, EEG, confocal scanning microscopy and tracking behavior. Within the course two practicals are provided to visualize data and to track behavior, for the latter a report needs to be written. In addition two demonstrations are given on two specific imaging techniques. | |||||||||||||||||||||||||||||
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| 2 | Advanced Light Microscopy | WMBY016-05 | |||||||||||||||||||||||||||
| In this course students learn various aspects of modern advanced light and fluorescence microscopy techniques. The course includes basic knowledge on light microscopy, several aspects of fluorescence microscopy, including the principles of fluorescence, properties of fluorescent dyes and proteins, wide field-, confocal-, SIM-, TIRF- and spinning disc microscopy, advanced fluorescence microscopy techniques such as FRET,FLIM and FCS as well as super resolution microscopy. Additional topics include live cell imaging, image processing and analysis and artifacts in fluorescence microscopy. The course consists of a theoretical part (lectures), practicals and a short research project. Assessment is via the preparation and presentation of a poster that contains the results of the research project and a written examination | |||||||||||||||||||||||||||||
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| 3 | Advanced Metabolism & Nutrition | WMBM004-05 | |||||||||||||||||||||||||||
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| 4 | Advanced Statistics | WMBY018-06 | |||||||||||||||||||||||||||
| Content: Introduction to R and review of basic statistics. Further topics: general linear models (ANOVA, ANCOVA, multiple regression); generalized least squares; mixed models; generalized linear models; generalized linear mixed models; Bayesian analysis and MCMC; animal models; multivariate analysis. During the last week of the course analysis and presentation of own data set. Description: This course teaches advanced statistical analysis almost from the ground up. The only requirement is some familiarity with basic statistical concepts and methods, such as taught in most introductory statistics courses. Some experience with R is useful but not crucial. During the first three days, basic methods and R will be reviewed to refresh your memory. During the next three weeks, cutting-edge techniques such as GLMMs, power analyses and Bayesian MCMC models will discussed and practiced. Each day will start with a review of the exercises of the previous day, followed by lectures and new computer labs. Mathematics will be kept to a minimum, and in addition to developing analytical skills, the course also puts much emphasis on producing effective and great-looking graphs (mostly using the ggplot2 package). The last week of the course will be dedicated to analyzing your own data, unleashing the newly learned techniques. If you have no data yet, alternative suitable data will be found elsewhere or simply created de novo with simulation models. Your methods, results and conclusions will be documented in a report which will be graded. | |||||||||||||||||||||||||||||
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| 5 | Animal Experimentation | WMBY019-05 | |||||||||||||||||||||||||||
| This course is in transition to a completely new e-learning format. 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 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 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 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 5 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, and (5) Animal 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 during their master project. For research involving humans, students must consult with their supervisors. | |||||||||||||||||||||||||||||
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| 6 | Basiscursus Master Lerarenopleiding | TEM0105 | |||||||||||||||||||||||||||
| Bij dit vak doet de student basale kennis en vaardigheden op over het beroep als (vak)docent. Hij volgt daartoe (online) algemene colleges op het terrein van de pedagogiek en didactiek. Daarnaast neemt de student, onder leiding van de vakdidacticus, deel aan fysieke en/of online bijeenkomsten rond vakdidactiek. De student leert hoe een les te plannen en te evalueren, traint in het geven van deellessen, leert wat het betekent om voor een groep pubers te staan en wat hen motiveert en wat het belang is van een veilig leerklimaat. De student krijgt opdrachten mee die uitgevoerd worden in de onderwijspraktijk (Masterstage 1), leert hoe je gegevens verzamelt over die onderwijspraktijk (observaties, interviews, leerlingvragenlijsten) en hoe je die praktijk vanuit de theorie kunt analyseren. De student oriënteert zich daarmee op alles wat hem tijdens het vervolg van de opleiding te wachten staat en bouwt een realistisch beeld op van zijn geschiktheid voor dat vervolg. | |||||||||||||||||||||||||||||
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| 7 | Behavioural Pharmacology | WMBC003-05 | |||||||||||||||||||||||||||
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| 8 | Biomedical Sciences: Professional Perspectives | WMBM022-05 | |||||||||||||||||||||||||||
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| 9 | Cancer Research | WMBM005-05 | |||||||||||||||||||||||||||
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| 10 | Colloquium BMS | WMBM001-05 | |||||||||||||||||||||||||||
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| 11 | CRISPR editing | WMBM006-05 | |||||||||||||||||||||||||||
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| 12 | Current Themes in Healthy Ageing | WMBM002-05 | |||||||||||||||||||||||||||
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| 13 | Current Themes in Oncology | WMBM007-05 | |||||||||||||||||||||||||||
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| 14 | Data Science in Biomedicine | WMBM023-05 | |||||||||||||||||||||||||||
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| 15 | Drug Development: from Design to Evaluation | WMMP006-05 | |||||||||||||||||||||||||||
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| 16 | Electives BMS-Neuro | MLELBMS5 | |||||||||||||||||||||||||||
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| 17 | Essay BMS | WMBM003-05 | |||||||||||||||||||||||||||
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| 18 | From Big Data to Personalised Medicine | WMBM008-05 | |||||||||||||||||||||||||||
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| 19 | Immunology: from bedside to bench and back | WMBM016-05 | |||||||||||||||||||||||||||
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| 20 | Introduction Science and Business | WMSE001-10 | |||||||||||||||||||||||||||
| This module will take place in two phases. 1. Theory Science and Business 2. Group project Science and Business In the first three weeks you will follow an intensive program in which you get acquainted with important business concepts. After that you will train the skills to solve business cases and to write and present a feasible science advise to company owners. Most assignments will be done in groups and teams. For more information see www.rug.nl/fwn/sbp | |||||||||||||||||||||||||||||
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| 21 | Introduction Science and Policy | WMSE002-10 | |||||||||||||||||||||||||||
| This module will take place in two phases. 1. Theory Science and Policy 2. Group project Science and Policy In the first three weeks you will follow an intensive program in which you get acquainted with important policy concepts. After that you will train the skills to solve policy cases and to write and present a feasible science advise to governmental organisations. Most assignments will be done in groups and teams. For more information see www.rug.nl/fwn/sbp | |||||||||||||||||||||||||||||
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| 22 | Introduction to the Behavioural and Cognitive Neurosciences | WMBC007-04 | |||||||||||||||||||||||||||
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| 23 | Master Modules BMS-Neuro | MLMODBMS5 | |||||||||||||||||||||||||||
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| 24 | Masterstage 1 Lerarenopleiding | TEM0205 | |||||||||||||||||||||||||||
| Bij Masterstage 1 loopt de student stage op een school voor voortgezet onderwijs (in de regel twee dagen per week) onder begeleiding van een vakcoach. Hij verricht observaties, interviewt leerlingen, bereidt (deel)lessen voor, geeft ze en bespreekt ze na met de vakcoach. De student verzamelt informatie en feedback over de kwaliteit van het eigen handelen (o.a. door de afname van een leerlingenquête), rapporteert daarover en beschrijft zijn ervaringen in een stageverslag. De student oriënteert zich daarmee op het leraarschap en leert hoe je in de context van de school onderzoekend kunt werken aan het sturen van je ontwikkeling. In de context van de stage voert de student daarnaast opdrachten uit in het kader van de basiscursus lerarenopleiding (TEM0105), die parallel is georganiseerd aan de stage. | |||||||||||||||||||||||||||||
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| 25 | Microbiological Safety | WMMP004-01 | |||||||||||||||||||||||||||
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| 26 | Microbiome and Health | WMBM010-05 | |||||||||||||||||||||||||||
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| 27 | Molecular Biology of Ageing and Age-related Diseases | WMBM017-05 | |||||||||||||||||||||||||||
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| 28 | Nanomedicine and nanosafety | WMFA047-05 | |||||||||||||||||||||||||||
| This course covers the following topics: • nanomedicine for drug delivery and drug targeting • nanomedicine applications other than drug delivery and drug targeting (organ-on-a-chip devices, tissue regeneration, stem cell differentiation and assisted surgery) • overview of main classes of nanomedicines, such as lipid based drug carriers, polymer based drug carriers, inorganic nanoparticles, antibodies and immunoconjugates, biomimetic materials, viral based nanocarriers • drug carriers and targeted drugs currently on the market and in clinical trials • challenges in nanomaterial design for successful targeting and barriers to drug delivery; • methods to characterize nano-sized drug carriers after synthesis and once applied in biological environments (size, charge, stability in biological fluids such as blood); • behavior of nano-sized materials at cellular and and organism level (uptake, distribution, final fate, eventual effects on cellular functions); • potential risks and safety concerns for nanomedicines and nano-sized materials not intended to be in contact with humans and living organisms (other nanotechnologies). | |||||||||||||||||||||||||||||
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| 29 | Neurobiology of Nutrition | WMBM011-05 | |||||||||||||||||||||||||||
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| 30 | Neurobiology of Psychiatric Disorders | WMBM018-05 | |||||||||||||||||||||||||||
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| 31 | Neurodegenerative Diseases | WMBM012-05 | |||||||||||||||||||||||||||
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| 32 | Nutrition, Brain Development and Cognition | WMBM020-05 | |||||||||||||||||||||||||||
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| 33 | Nutrition in Medicine | WMBM019-05 | |||||||||||||||||||||||||||
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| 34 | Orientation on International Careers | WMBY014-05 | |||||||||||||||||||||||||||
| Research topics will be provided by participating companies or organizations. Research topics are typically centered on biotechnology and bioprocessing, ecology, population science or pharmaceutical science. Students are expected to investigate the literature and other sources on the assigned topic, and will work in interdisciplinary teams to combine their findings in written and oral reports. The students will be mentored by a supervisor, with whom they discuss their findings, prepare a written report and oral presentation, and receive a grade from. The completed work will be followed up with the Study Tour along the participating companies organised by GLV-idun where a site visit is combined with a presentation of the company on aims and acquisition of scientific staff. During the visit each groups will also present their findings to their participating companies and hand over the written report. | |||||||||||||||||||||||||||||
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| 35 | Practical Bioinformatics for Biologists | WMBY008-05 | |||||||||||||||||||||||||||
| Practical Bioinformatics for Biologists (PBfB) introduces students to general computational tools in order to enable to design and execute efficient computations. PBfB presents a broad range of open-source, free and flexible computational tools applicable to geneticists, molecular biologists, ecologists, oceanographers, physiologists, or anyone with an interest or need for bioinformatics in their research. PBfB emplhasizes the practical application of bioinformatic methods to solve real-life analyses. PBfB covers data -centered computing in a Unix/Linux environment. PBfB introduces the basics of a 'nix environment, such as; remote installation and execution of software. Students will be familiar with command line tools to explore and analyze data as well as the use of scripting languages such as Python and R to (a) code custom analyses and (b) to design effective pipelines of existing software. The use of databases and retrieval of data from public on-line databases will be introduced. Data visualization techniques, such as GIS tools, will be introduced using the statistical language R. Topics addressed in PBfB will employ practical example from different research fields, e.g., Next Generation Sequencing (NGS) data in genetics and molecular biology, as well as remote sensing and oceanographic data widely used in spatial ecological and evolutionary biology. The course consists of short lectures featuring new concepts and examples as well as practical computer exercises and individual assignments. In the last week, students will conduct a project assignment in small groups implementing the use of skills acquired during the course, aimed at solving real-life analyses. Students will present their pipeline and results to the class in an oral presentation during the last days of the course. | |||||||||||||||||||||||||||||
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| 36 | Programming C++ for Biologists | WMBY010-05 | |||||||||||||||||||||||||||
| 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 BSc level courses) 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 (WMBY010-05) 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. The course code used in ProgressWWW for registering the grade for the 10 ECTS variant is WMBY010-10. | |||||||||||||||||||||||||||||
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| 37 | Radioisotopes in Experimental Biology | WMBY011-05 | |||||||||||||||||||||||||||
| RPO Dispersible Radioactive Materials-D is the minimum expert level which allows you to work with radioisotopes at the university and university hospital (UMCG). It is an official expert level supervised and regulated by the Dutch Government. The University of Groningen is one of the few official recognized institutes were you can obtain certificates of the official radiation expert levels. At the end of the 1st week you will HAVE to pass the RPO DRM-D test to be allowed to participate in the remainder of the course. NOTE: For the course an additional registration is needed apart from Progress for participating in an official RPO DRM-D course. Topics will include: • Radioisotope detection using X-ray film • The (advanced liquid) scintillation counter • In vitro labeling of nucleic acids and proteins • Subcellular localization of biological molecules • Radioisotopes and immunoassay • Pharmacological techniques • Biological effect of radiation The final part of the course consist of chronobiological research question regarding Melatonin using a Radioimmunoessay (RIA). The students will be their own research subjects. The results will be discussed in a concluding tutorial. | |||||||||||||||||||||||||||||
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| 38 | Research Project 1 Biomedical Sciences | WMBM901-40 | |||||||||||||||||||||||||||
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| 39 | Research Project 2 Biomedical Sciences | WMBM902-30 | |||||||||||||||||||||||||||
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| 40 | Scientific writing | WMBM013-05 | |||||||||||||||||||||||||||
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| 41 | Stem Cells & Regenerative Medicine | WMBM014-05 | |||||||||||||||||||||||||||
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| 42 | Tools and approaches of systems biology | WMBS005-05 | |||||||||||||||||||||||||||
| In the course, students should become familiar with the modern tools and approaches of systems biology. Specifically, the course will introduce (i) the principles of the powerful omics measurement technologies, (ii) the computational concepts used to extract information from these large data sets, and (iii) how mathematical models can be used to investigate complex biological systems. These concepts and approaches will be illustrated with examples from metabolism-related research such that the students also gain further knowledge in this particular field of biology. The course consists of three parts: 1) lectures, focusing on overview of tools with examples from recent literature; 2) practical work in which students perform computational analyses and develop their own mathematical models; 3) assignments in which students prepare short presentations on questions related to recent literature | |||||||||||||||||||||||||||||
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| 43 | Translational Research in Respiratory Disease | WMBM015-05 | |||||||||||||||||||||||||||
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