19M064BI - Advanced Techniques in Bioinformatics

Course specification
Course title Advanced Techniques in Bioinformatics
Acronym 19M064BI
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 6.0 Status elective
        Condition None
        The goal Enabling the students to solve more complex 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 complex problems in bioinformatics using databases, algorithms and software tools, and 3) recognize the possible applications of bioinformatics in some fields of biomedicine.
        Contents of lectures Relations of molecular biology and bioinformatics. Biological databases. Search of databases with the sequences of biomolecules. Sequence alignment. Gene prediction. Molecular phylogenetics. Structural bioinformatics. Comparative genomics. Functional genomics. Proteomics. Advanced 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.
        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. Group of authors, Bioinformatics Algorithms: Techniques and Applications, I. Mandoiu, A. Zelikovsky, eds., John Wiley & Sons, 2008. (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
        Colloquia 30
        Seminars 20