Basics of Programming
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
818ZPRO | Z | 4 | 4C | Czech |
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Software Engineering
- Synopsis:
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This course is intended mainly for students with little or no experience in programming. It familiarizes the students with the basic concepts in programming and with the Python programming language.
- Requirements:
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No previous courses are required; only common computer user’s knowledge is assumed.
- Syllabus of lectures:
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1.Basic terminology (computer, program, algorithm, ...)
2.Python, interactive mode and scripting, basic features of the language
3.Data representation in computer memory, role of the data types
4.Variables, basic data types (bool, int, float, str) and operators
5.Program structure: conditions, cycles, functions, modules
6.Containers (list, dictionary, set, tuple)
7.Iterators and generators
8.Error handling, exceptions, assertions
9.Using fundamental modules of the standard library
10.String processing and formatting
11.Working with files and directories
12.Modular structure of the program
13.Introduction to object-oriented programming
- Syllabus of tutorials:
- Study Objective:
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Learning the basics of procedural and object-oriented programming. Ability to solve basic programming tasks using the Python language.
- Study materials:
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Recommended literature:
[1] R. Pecinovský, Začínáme programovat v jazyku Python, 2. vydání, Grada, 2022. ISBN 978-978-80-271-3609-4.
[2] M. Pilgrim, Ponořme se do Python(u) 3 (Dive into Python 3), CZ.NIC, 2010. ISBN 978-80-904248-2-1. https://knihy.nic.cz/#Python3
[3] J. Kubias, Programování v jazyce Python 3 (How to Think Like a Computer Scientist: Learning with Python), online, 2023. http://howto.py.cz
Supplementary literature:
[1] P. Wentworth, J. Elkner, A.B. Downey, C. Meyers, How to Think Like a Computer Scientist: Learning with Python, 2nd Edition, Green Tea Press, 2012. ISBN 9781491939369. https://www.ict.ru.ac.za/Resources/cspw/thinkcspy3/
[2] R. Pecinovský, Python – Kompletní příručka jazyka pro verzi 3.11, Grada, 2022. ISBN 978-80-271-3891-3.
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Applications of Informatics in Natural Sciences (compulsory course in the program)