Algorithmization and Programming

Course guarantor:

Petr Sváček

Lecturer:

Jan Halama, Jiří Holman, Olga Majlingová, Vladimír Prokop, Petr Sváček, David Trdlička

Tutor:

Adam Groma, Lukáš Hájek, Tomáš Halada, Jan Halama, Martin Hanek, Tomáš Hlavatý, Jiří Holman, Jan Karel, Patrik Kovář, Ondřej Krejčí, Anna Lancmanová, Pavel Mačák, Olga Majlingová, Tomáš Marhan, Josef Musil, Vladimír Prokop, Prokop Pučejdl, Vítězslav Putna, Hynek Řezníček, Petr Sváček, Adam Tater, David Trdlička, Vít Uhlíř, Karel Vacek, Matěj Vítovec

Supervisor:

Department of Technical Mathematics

Synopsis:

Programming in MATLAB and its programming language. MATLAB command line. Elementary commands, variable, assignment and expression. Matrices, vectors and operations. Writting M-script. Input and output. Condition and cycle. Algorithmization of simple problems in MATLAB. Graphical commands. Matrix operations. Systems of linear equations. Scripts and functions. Structure of program. Variables, expressions, assignment, and input / output commands. switch. For cycle. Arrays and files. Pointers. Structures. Algorithmization of simple programs: minimum, mean, norm, numerical integration, bisection method, Newton method, matrix operations. Direct methods for solution of systems of linear equations.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Programming in MATLAB and its programming language. MATLAB command line. Elementary commands, variable, assignment and expression. Matrices, vectors and operations. Writting M-script. Input and output. Condition and cycle. Algorithmization of simple problems in MATLAB. Graphical commands. Matrix operations. Systems of linear equations. Scripts and functions. Structure of program. Variables, expressions, assignment, and input / output commands. switch. For cycle. Arrays and files. Pointers. Structures. Algorithmization of simple programs: minimum, mean, norm, numerical integration, bisection method, Newton method, matrix operations. Direct methods for solution of systems of linear equations.

Study materials:

[1] MATLAB User's Guide, Reference Guide. The MathWorks, Inc.

[2] Martin Mareš, Tomáš Valla, Průvodce labyrintem algoritmů, Edice CZ.NIC

[3] Online course in MOODLE

Note:

Further information:

http://marian.fsik.cvut.cz/zapg/

Time-table for winter semester 2025/2026:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomT4:A1-405a Marhan T. 12:30–14:00 (parallel nr.9) Dejvice roomT4:A1-405a Hlavatý T. 14:15–15:45 (parallel nr.8) Dejvice roomT4:A1-404 Tater A. 16:00–17:30 (parallel nr.10) Dejvice roomT4:A1-505e Majlingová O. 15:00–16:45 (lecture parallel2) Dejvice roomT4:A1-505e Majlingová O. 16:45–18:30 (lecture parallel3) Dejvice
Tue	roomT4:D2-256 Holman J. 14:15–15:45 (lecture parallel1) Dejvice
Wed	roomT4:A1-405a Uhlíř V. 16:00–17:30 (parallel nr.5) Dejvice roomT4:A1-405a Krejčí O. 17:45–19:15 (parallel nr.4) Dejvice
Thu	roomT4:A1-405a Trdlička D. 12:30–14:00 (parallel nr.7) Dejvice roomT4:A1-405a Vítovec M. 14:15–15:45 (parallel nr.6) Dejvice
Fri	roomT4:A1-405a 09:00–10:30 (parallel nr.1) Dejvice roomT4:A1-405a Řezníček H. 10:45–12:15 (parallel nr.2) Dejvice roomT4:A1-405a Musil J. 12:30–14:00 (parallel nr.3) Dejvice

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans: