ESF:PMUDP Introduction to Program.-sem. - Course Information
PMUDP Introduction to Programming - seminar
Faculty of Economics and AdministrationAutumn 2004
- Extent and Intensity
- 0/2/0. 0 credit(s). Type of Completion: -.
- Teacher(s)
- RNDr. Jaroslav Pelikán, Ph.D. (lecturer)
Mgr. Jiří Poláček, Ph.D. (seminar tutor) - Guaranteed by
- prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková - Timetable of Seminar Groups
- PMUDP/01: Fri 10:15–11:50 VT206
PMUDP/02: Fri 8:30–10:05 VT203 - Prerequisites
- The course Introduction to Programming requires basic knowledge of PC computer handling (on a user level).
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 29 student(s).
Current registration and enrolment status: enrolled: 0/29, only registered: 0/29, only registered with preference (fields directly associated with the programme): 0/29 - fields of study / plans the course is directly associated with
- Economic Information Systems (programme ESF, B-SI)
- Course objectives
- The main aim of the course Introduction to Programming is to introduce students to basic principles of computer problem-solving. Students obtain knowledge and skills that are necessary for designing an algorithm to solve a given problem, coding it in a programming language and debugging it. The course Introduction to Programming is based on the use of the Pascal programming language.
- Syllabus
- Programming languages, compiler.
- Output statements, constants, expressions.
- Variables, input statements.
- Assignment statement, conditional statement, loops.
- Algorithms based on recurrence relation.
- Data types (abstraction, representation, data processing): array, string, set, record, file, text file.
- Procedures and functions, parameters, recursion, side effect.
- Basic algorithms: searching, sorting.
- Numerical algorithms: precision, errors.
- Non-numerical algorithms: text processing.
- Algorithm analysis: correctness, effectivity.
- Pointer type. Dynamic data structures.
- Asymptotic time complexity: polynomial, exponential and optimal algorithms.
- Literature
- Borland Pacsal 7.0 manuál, Borland International, 1992
- DRÓZD, Januš and Rudolf KRYL. Začínáme s programováním. 1. vyd. Praha: Grada, 1992, 306 s. ISBN 80-85424-41-X. info
- WIRTH, Niklaus. Algoritmy a štruktúry údajov. Translated by Pavol Fischer. 2. vyd. Bratislava: Alfa, 1989, 481 s. ISBN 80-05-00153-3. info
- Assessment methods (in Czech)
- Typ výuky: Přednáška + cvičení (cvičení probíhá v počítačové učebně a účast na něm je povinná).
Zkouška: Písemná zkouška (bez možnosti používat počítač) - viz Informace učitele - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
General note: Slouží k zápisu cvičení do IS. - Teacher's information
- http://www.fi.muni.cz/usr/pelikan/Vyuka/Vyuk2.html
- Enrolment Statistics (Autumn 2004, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2004/PMUDP