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Course detail
FIT-BIFAcad. year: 2015/2016
This course introduces students to basic principles of molecular biology, present algorithms pro biological data analysis, describes their time complexity and shows direction how to design the new methods very effectively. Particularly, the following algorithms will be discussed: methods for sequence alignment, evolutionary models, construction of phylogenetic trees, algorithms for gene identification using machine learning and approaches for prediction of 2D and 3D protein structure. Lectures will be supplement with practical examples using available biological databases.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Understanding the relations between computers (computing) and selected molecular processes.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
None.
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
branch MPV , any year of study, summer semester, electivebranch MGM , any year of study, summer semester, electivebranch MSK , any year of study, summer semester, electivebranch MIS , any year of study, summer semester, electivebranch MBS , any year of study, summer semester, electivebranch MIN , any year of study, summer semester, electivebranch MMM , any year of study, summer semester, electivebranch MBI , 1. year of study, summer semester, compulsory
Lecture
Teacher / Lecturer
Syllabus
Exercise in computer lab
Project