The second course in this field aims at giving a basic understanding of computational biology and theoretical models in molecular biology. This will include models of the origin of life, molecular evolution, and molecular genetics.

As a consequence of new measurement techniques, our knowledge of structure and function of biological macromolecules has increased significantly in recent years. The amount of data is now so large that it has become necessary to use computational and statistical methods of analysis. The new empirical data now allow statistically significant testing of models for genetic evolution. This has led to a renewed interest in evolution models on the genetic and molecular level. New numerical algorithms and mathematical models have been developed describing population genetics. It is the aim of this course to introduce the mathematical models and computational methods used in the analysis and modelling of genetical data and their evolution.

Student portal page: http://www.student.chalmers.se/sp/course?course_id=14473

External course webpage: http://fy.chalmers.se/~frtbm/ComputationalBiologyB/index.html

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Throughout the first year, a seminar series is held in which the students present and discuss recent findings and results reported in the scientific literature. Complex systems science is a large and very heterogeneous research field. When preparing a presentation in the Complex systems seminar course, the students have an opportunity to "dig a little deeper" into a specific area that they find interesting. The students in the class will during the class be listening to 40-50 seminars on different topics, mostly given by their friends in the class but also by the teachers in the program and other guest lecturers. Overall this gives a more fair coverage of complex systems as a field than is possible in the regular classes. In addition the class offers training in a very central skill: oral presentation.

Teacher: Claes Andersson

Teaching Assistants: Erik Edlund, Oskar Lindgren, Vilhelm Verendel

Student portal page: http://www.student.chalmers.se/sp/course?course_id=15014

Course page: http://studycas.com/node/105

 

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