FI:IV114 Bionformatics project II - Course Information

IV114 Bionformatics project II

Extent and Intensity

1/1/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. Ing. Matej Lexa, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics

Timetable

Wed 8:00–9:50 B204

Prerequisites

The students should have finished IV107 Bioinformatics I and have elementary programming skills in any programming language/environment (optimally UNIX with C/C++/Java and Perl/Python) or consent of the lecturer

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

• Applied Informatics (programme FI, B-AP)
• Applied Informatics (programme FI, N-AP)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, B-AP)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Informatics (programme FI, D-IN)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

Course objectives

The students will be given a family of problems at the beginning of the semester. After discussion in class and with the lecturer, they will choose a problem to solve using computational approach. Results of their work will be presented towards the end of the semester in a student mini-conference using posters or a lecture/demo format. At the end of this course the students will be able to locate and analyze molecular data independently.

Syllabus

• - Problem formulation and discussion - Preparation of student projects - Project work - Mini-conference

Literature

• ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info

Assessment methods

written project proposal and summary, oral presentation

Language of instruction

Czech

Further Comments

The course is taught annually.

• Enrolment Statistics (Autumn 2008, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2008/IV114