The course is offered to students of any study field.
Course objectives
The aim of the lecture is to introduce to the students development, actual situation and supposed trends in the new area of computational science / scientific computing for biology and biomedicine.
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. URLinfo
Assessment methods
Lectures of course are reading weekly. Simple homeworks are requested during semester. Oral exam closes course.