IV114 Bionformatics project II

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
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
there are 38 fields of study the course is directly associated with, display
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.
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.
  • Enrolment Statistics (Autumn 2008, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2008/IV114