FI:PB172 SBseminar - Course Information
PB172 Systems Biology Seminar
Faculty of InformaticsAutumn 2013
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- doc. RNDr. David Šafránek, Ph.D. (lecturer)
doc. RNDr. Milan Češka, Ph.D. (assistant) - Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. Ing. Matej Lexa, Ph.D.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable of Seminar Groups
- PB172/01: Fri 10:00–11:50 C516, D. Šafránek
- Prerequisites
- SOUHLAS
The seminar is focused on studying and presentation of selected scientific articles/book chapters in the field of computational systems biology. Students are assumed to understand elementary notions from biology and chemistry (grammar school level), to know basic principles of the systems biology paradigm, and to be interested in deeper understanding of the field. Previous successful studying of PB050 is welcome. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 43 fields of study the course is directly associated with, display
- Course objectives
- At the end of the course students should be able to: understand key results of computational systems biology; work with a scientific paper; extract the information from literature; prepare and give an oral presentation.
- Syllabus
- Overview of elementary notions and paradigms
- Selection of seminar topics (papers) and explanation of their significance
- Studying of the selected topics
- Presentation and discussion
- Literature
- Teaching methods
- Student presentations, discussions.
- Assessment methods
- oral presentation of the selected topic
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught each semester. - Teacher's information
- http://sybila.fi.muni.cz/cz/predmety/PB172
- Enrolment Statistics (Autumn 2013, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2013/PB172