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43513-01 - Internship: Programming for Life Sciences (4 CP)

Semester fall semester 2016
Course frequency Every fall sem.
Lecturers Torsten Schwede (torsten.schwede@unibas.ch)
Mihaela Zavolan (mihaela.zavolan@unibas.ch, Assessor)
Content Together with new measurement technologies, the use of computational and mathematical approaches that exploit modern information technology in the study of biological systems have brought about a deep transformation in the practice of molecular biology research. To take advantage of the new opportunities, the new generation of biologists should be highly competent not only in their experimental work but also in the development and use of mathematical and computational methods. This course aims to train the students into the proficient use of programming in analyzing data derived from projects in life sciences. The course is focused on the widely used Python programming language, with a few examples from other commonly used languages such as R and Matlab. Basic knowledge of computing systems, programming languages and algorithms are required.

 

Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Cycle E: Computational and Systems Biology (Master Molecular Biology)
Doctorate Biochemistry: Recommendations (PhD subject: Biochemistry)
Doctorate Biophysics: Recommendations (PhD subject: Biophysics)
Doctorate Cell Biology: Recommendations (PhD subject: Cell Biology)
Doctorate Computational Biology: Recommendations (PhD subject: Computational Biology)
Doctorate Genetics: Recommendations (PhD subject: Genetics)
Doctorate Microbiology: Recommendations (PhD subject: Microbiology)
Doctorate Molecular Biology: Recommendations (PhD subject: Molecular Biology)
Doctorate Neurobiology: Recommendations (PhD subject: Neurobiology)
Doctorate Pharmacology: Recommendations (PhD subject: Pharmacology)
Doctorate Structural Biology: Recommendations (PhD subject: Structural Biology)
Assessment format continuous assessment
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Departement Biozentrum

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