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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Algorithmization and Programming

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Code Completion Credits Range Language
2012036 KZ 3 1P+2C+0L Czech
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, Patrik Kovář, Anna Lancmanová, Pavel Mačák, Olga Majlingová, Tomáš Marhan, Josef Musil, Vladimír Prokop, Prokop Pučejdl, Vítězslav Putna, Petr Sváček, Adam Tater, David Trdlička, 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 2024/2025:
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
roomKN:A-309
Majlingová O.
09:00–12:15
(lecture parallel2)
Karlovo nám.
Posluchárna KA309
Tue
roomKN:A-447
Vacek K.
16:00–17:30
(parallel nr.8)
Karlovo nám.
Poč. učebna A447
Wed
roomKN:A-447
Tater A.
09:00–10:30
(parallel nr.1)
Karlovo nám.
Poč. učebna A447
roomKN:A-447
Halada T.
10:45–12:15
(parallel nr.2)
Karlovo nám.
Poč. učebna A447
roomKN:A-447
Vítovec M.
12:30–14:00
(parallel nr.3)
Karlovo nám.
Poč. učebna A447
Thu
roomKN:A-447
Musil J.
09:00–10:30
(parallel nr.6)
Karlovo nám.
Poč. učebna A447
roomKN:A-447
Hlavatý T.
10:45–12:15
(parallel nr.4)
Karlovo nám.
Poč. učebna A447
roomKN:A-447
Lancmanová A.
12:30–14:00
(parallel nr.5)
Karlovo nám.
Poč. učebna A447
Fri
roomKN:A-214
Holman J.
09:00–10:30
(lecture parallel1)
Karlovo nám.
Posluchárna KA214
roomKN:A-447
Marhan T.
10:45–12:15
(parallel nr.7)
Karlovo nám.
Poč. učebna A447
Time-table for summer semester 2024/2025:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-10-12
For updated information see http://bilakniha.cvut.cz/en/predmet7158606.html