FI:PB172 SBseminar - Course Information
PB172 Systems Biology Seminar
Faculty of InformaticsAutumn 2024
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching - Teacher(s)
- doc. RNDr. David Šafránek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. David Šafránek, Ph.D.
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
- Fri 27. 9. to Fri 20. 12. Fri 10:00–11:50 A418
- 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Informatics (programme FI, B-INF) (2)
- Informatics in education (programme FI, B-IVV) (2)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Networks and Communications (programme FI, N-PSKB)
- Principles of programming languages (programme FI, N-TEI)
- Programming and development (programme FI, B-PVA)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)
- 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.
- Learning outcomes
- At the end of the course students should be able to:
- analyse a scientific paper;
- combine and infer the information from scientific literature;
- discuss pros and cons of computational methods in systems biology;
- contrast conceptual errors in analysed publications by employing suitable arguments. - 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
- The course is taught each semester.
- Teacher's information
- http://sybila.fi.muni.cz/cz/predmety/PB172
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2024/PB172