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Course Catalog 2014-2015
FYS-7406 Special Topics in Computational Biophysics, 3-10 cr |
Additional information
The number of credit units (to be granted) depends on the number and difficulty of the seminar works completed during the course.
The course will be organised every other year, given that there is a sufficient number of students enrolling.
Suitable for postgraduate studies
Person responsible
Sanja Pöyry
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Active participation during the course: all participants are expected to give seminar talk(s) about selected topics, complete associated assignments, and take part in discussion in class. Attendance at seminars is compulsory.
Completion parts must belong to the same implementation
Learning Outcomes
The students deepen their knowledge in postgraduate topics in the field of computational biophysics. After passing the course, students are able to utilize their obtained knowledge critically in their research work. Students will develop their oral presentation skills.
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Membrane Structural Biology | M. Luckey | supporting material | No | English | ||
| Book | Methods in Molecular Biophysics | Igor N. Serdyuk, Nathan R. Zaccai, Joseph Zaccai | 9780511276118 | No | English | ||
| Book | Molecular Modelling: Principles and Applications | A. R. Leach | No | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
There is no equivalence with any other courses
More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| The students gain understanding about the scope of validity and the limitations of selected computational and experimental techniques used to study molecular biological systems and phenomena. After passing the course the students master the underlying theoretical principles behind these techniques and understand how different methods can be used to explore the same systems and phenomena in a manner that is complementary to each other, thereby providing added value to the other existing theoretical and computational (simulation) methods. |