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19E064BI - Bioinformatics

Course specification
Course title Bioinformatics
Acronym 19E064BI
Study programme Electrical Engineering and Computing
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status mandatory
    Condition None
    The goal Introducing the key concepts and problems in modern bioinformatics. Enabling the students to solve basic problems in bioinformatics. Understanding the information upgrade obtained by using large biological databases and detailed measurements of numerous physiological parameters. Advancing the knowledge of students about cell physiology and function using the principles of bioinformatics.
    The outcome At the end of this course, the students should be able to: 1) understand the basics of cell physiology and molecular biology, 2) solve typical problems in bioinformatics using databases, algorithms and software tools, and 3) recognize the possible applications of bioinformatics in some fields of biomedicine.
    Contents
    Contents of lectures Introduction to bioinformatics. Introduction to molecular biology. Biological databases. Search of databases with the sequences of biomolecules. Sequence alignment. Gene prediction. Molecular phylogenetics. Structural bioinformatics. Comparative genomics. Functional genomics. Proteomics. Fundamental algorithms in bioinformatics. Applications of bioinformatics in medicine and biology.
    Contents of exercises Exercises which contain the applications of theoretical principles, implementation of algorithms and demonstrations of suitable software tools in accordance with the lecture topics.
    Literature
    1. J. Xiong, "Essentials of Bioinformatics", Cambridge University Press, 2006. (Original title)
    2. M. Zvelebil, J. O. Baum, "Understanding Bioinformatics", Garland Science, 2008. (Original title)
    3. D. W. Mount, "Bioinformatics: Sequence and Genome Analysis", Cold Spring Harbor Laboratory Press, 2001. (Original title)
    4. N. C. Jones, P. A. Pevzner, "An Introduction to Bioinformatics Algorithms", MIT Press, 2004. (Original title)
    5. K-H. Liang, "Bioinformatics for biomedical science and clinical applications", Woodhead Publishing Limited, 2013. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching 45 hours of lectures and seminars + 30 hours of recitations, demonstrations of software tools, and student seminars with presentations. Colloquium after the first half of the semester. 75 hours of independent study in total, out of which 3 hours per week during the semester and approximately 30 hours of preparation in the exam period.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 50
    Practical lessons Oral examination
    Projects
    Colloquia 30
    Seminars 20