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Course module: SK-MCSB
SK-MCSB
Systems Biology
Course infoSchedule
Course codeSK-MCSB
ECTS Credits3
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Science; Graduate School of Life Sciences; Graduate School of Life Sciences;
Contact persondr. K.H.W.J. ten Tusscher
E-mailK.H.W.J.tenTusscher@uu.nl
Lecturers
Lecturer
dr. K.H.W.J. ten Tusscher
Other courses by this lecturer
Contactperson for the course
dr. K.H.W.J. ten Tusscher
Other courses by this lecturer
Teaching period
W23A  (15/10/2018 to 08/03/2019)
Teaching period in which the course begins
W23A
Time slot-: Not in use
Study mode
Full-time
RemarkReguliere inschrijfperiode met na-inschrijving. Voor februari instroomers die niet meteen op de hoogte zijn van inschrij
Enrolling through OSIRISYes
Enrolment open to students taking subsidiary coursesYes
Pre-enrolmentNo
Post-registrationYes
Post-registration openfrom 15/08/2018 up to and including 15/10/2018
Waiting listYes
Aims
At the end of the course, students should:
i) Understand the role of bioinformatics and computational biology in modern biology.
ii) Understand the basic principles of bioinformatics and computational biology approaches.
iii) Have obtained knowledge of the power and the caveats of these approaches.
iv) Be able to propose appropriate systems biology approaches to answer research questions
 
 
At the end of the course, students should be able to:
 
i) Discuss and critically assess literature from this field of research at academic level
ii) Place this field of research in context of other research themes to promote interdisciplinary thinking
iii) Place this field of research into the larger societal context.
Content
Systems biology aims to approach biological research questions in an integrative, interdisciplinary and quantitative manner to help provide a mechanistic understanding of biological processes.
 
In this course you will learn how many complex biological phenomena can not be understood from a reductionist approach focusing on a single gene, protein or celltype but that instead the networks of interactions amongst many different involved factors need to be taken into consideration. You will learn how high-throughput experiments combined with bioinformatic data-analysis enable us to map out these networks as well as how computational modeling allows us to improve our understanding of the functioning of these networks. Students will learn the basic principles behind these bioinformatic and computational biology approaches, their strengths and weaknesses, and when these can be applied. The application of these approaches to a wide range of biological research questions will be illustrated by experts in the field.
 
Similar to other general track courses of the MCLS master, each day of
the course is focused on a specific topic and may include lectures by principle investigators, research seminars, or guest lectures. In addition students are expected to discuss and present research papers.
 
Competencies
-
Entry requirements
Prerequisite knowledge
This general track course is intended for all MCLS students. Entry level is MCLS concepts in Science 4 Life course. Students follow at least 2 (preferably 3) out of 4 general track courses. Both asic knowledge in genetics and molecular biology as Mathematics B level or equivalent are required.
Required materials
-
Instructional formats
Computer practical

Lecture

Presentation

Private-study

Tests
Final result
Test weight100
Minimum grade-

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Kies de Nederlandse taal