Course Catalog 2009-2010
International

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

FYS-7306 Molecular modeling of bio- and nanosystems, 5 cr

Person responsible

Ilpo Vattulainen, Sami Paavilainen, Tomasz Rog

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 1, 2 :
Monday 15 - 17, SG209
Tuesday 15 - 18, SG209

 
 


Requirements

Passing the exam; assignments; carrying out a molecular modeling research project whose topic will be chosen during the course.

Principles and baselines related to teaching and learning

-

Learning outcomes

The main objective of the course is to provide the students with an overall view of how to apply computational techniques to relevant many-body problems in the nano-regime and biological systems. For the same reason, the lectures will be complemented by a significant fraction of hands-on exercises where the techniques are applied to practical problems.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Principles of electronic structure calculations: density-functional theory and alternatives. Connection to classical modeling techniques. General aspects of numerical solutions to the electronic Schrödinger equation. Practical approaches to electronic structure calculations of finite, periodic and complex structures: basis sets, pseudopotentials and PAWs. Software and applications.      
2. Understanding of classical modeling techniques for dealing with larger scales in nano- and biological systems: force fields, integrators, long-range interactions, ensembles, constraints. Software packages and development of own simulation codes with a variety of applications.     
3. More coarse-grained techniques to probe scales beyond the atomistic regime.     
4. Practical hands-on exercises and project assignments where the above techniques are applied in practice to relevant and topical problems related to nanostructures, biological molecules, etc.     


Evaluation criteria for the course

Ability to perceive and apply the material needed in computational modeling of complex systems.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   Electronic Structure Calculations for Solids and Molecules   Jorge Kohanoff       Cambridge, 2006      English  
Book   Molecular Modeling and Simulation - An Interdisciplinary Guide   Tamar Schlick       Springer, 2002      English  


Prerequisites

Course Mandatory/Advisable Description
FYS-1370 Statistical Physics Advisable    
FYS-1610 Quantum Mechanics I Advisable    
FYS-4100 Computational Physics I Advisable    
FYS-4200 Computational Physics II Advisable    
FYS-6300 Quantum Theory of Molecules and Nanostructures Advisable    
FYS-7100 Introduction to Soft Matter Physics Advisable    
FYS-7200 Biological Physics Advisable    

Additional information about prerequisites
The above list of recommended courses prior to this one should not be taken literally. Though, overall, some sort of background is recommendable to maximize learning and the impact of the course. Having passed most of the above proposed courses is not really a condition for participating in the course, however.

Prerequisite relations (Requires logging in to POP)

Correspondence of content

There is no equivalence with any other courses

Additional information

The number of credit units (to be granted) depends on the scope and difficulty of the project work assignments. The largest number of credits (8) will be granted to those who have successfully conducted a rather major project study. The course will be lectured provided that at least 6-8 students will participate in the course (which is very likely). Further information supporting the course is available at: http://alpha.cc.tut.fi/~vattula2/teaching-biomodeling/

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1   Lectures
Seminar work
Excercises
Practical works
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %  


Last modified11.01.2010
ModifierSami Paavilainen