Course Catalog 2014-2015
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Basic Pori International Postgraduate Open University

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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
            FYS-7406 2013-01  

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
FYS-7406 2013-01 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.        

Last modified06.03.2014