Information System of Masaryk University 

Course Information

Bi7440 Scientific computing in biology and biomedicine

Faculty of Science
Spring 2011

Extent and Intensity

2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

prof. RNDr. Jiří Hřebíček, CSc. (lecturer)

Supervisor

doc. RNDr. Ladislav Dušek, Ph.D.
Research Centre for Toxic Compounds in the Environment (RECETOX) - Chemistry Section - Faculty of Science
Contact Person: prof. RNDr. Jiří Hřebíček, CSc.

Timetable

Mon 10:00–11:50 IBA1,02023

Course Enrollment Limitations

The course is offered to students of any study field.

Course objectives

At the end of the course the students obtained: - overview of trends in scientifing computing - overview of methods applied in scientific computing in biology and biomedicine - experience in aplication of supercomputers in scientifing computing

Syllabus

• Basic terminology (data, information, knowlegde, uncertainty, fuzzy sets and fuzzy logic, computer, software, hardware, communication, internet)
• Scientific computing and computational science (scientific computing, computational simulation, classification of scientific computing)
• Short history of scientific computing/computational science (development in abroad, development in the Czech Republic)
• Short overview of technologies for scientific computing in biology and biomedicine
• The most used biological databasis and data format in bioinformatics
• Scientific computing in biomedicine
• Scientific computing with using Maple
• Articical inteligence and inteligent agents
• Data mining
• Machine learning

Literature

• HŘEBÍČEK, Jiří, Walter GANDER, Stanislav BARTOŇ and Michal ŠKRDLA. New Maple solution of the generalized Leibniz problem. In Maple Conference 2006. Waterloo, Ontario, Kanada: Maplesoft, 2006. p. 120-128, 9 pp. ISBN 1-897310-13-7. info
• GANDER, Walter and Jiří HŘEBÍČEK. Solving Problems in Scientific Computing Using Maple and MATLAB (Solving Problems in Scientific Computing Using Maple and MATLAB). čtvrté. Heidelberg: Springer, 2004. 476 pp. Mathematics. ISBN 3-540-21127-6. URL info

Teaching methods

Lectures supplemented by homework and students presentations

Assessment methods

Lectures of course are reading weekly. Simple homeworks are requested during semester. Oral exam closes course.

Further Comments

Study Materials
The course is taught annually.

The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2005, Autumn 2006, Spring 2008, Spring 2009, Spring 2010, spring 2012, spring 2012 - acreditation, spring 2013, spring 2014.

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• Enrollment Statistics (Spring 2011, recent)
  
• Permalink: https://is.muni.cz/course/sci/spring2011/Bi7440

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