IV110 Bionformatics project I

Faculty of Informatics
Autumn 2008
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
IV107 Bioinformatics I plus elementary programming skills (e.g. UNIX + C/C++/Java + Perl/Python) or teacher's consent
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
Course objectives
Upon inspection of suggested subjects and a period of discussion, the students will select an appropriate bioinformatic problem to solve on a computer. They will present the results of their work in a student mini conference either in the form of a poster or an oral presentation with software demonstration. IV110 is primarily for Bc. students. The rules for MSc. degree bioinformatics require registration in IV114. The two courses currently meet together, but the project difficulty may be higher in IV114. At the end of the course, the student will become familiar with computational tools used in bioinformatics. He/she will be able to carry out independent analysis of bioinformatic data.
Syllabus
  • - Discussion of interesting problems to solve - Preparation of student proposals - Programming phase - Student 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
writen project proposal and summary of results, oral presentation
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2008, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2008/IV110