SubjectsSubjects(version: 956)
Course, academic year 2023/2024
Fundamentals of Programming - M143015
Title: Základy programování
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2023 to 2023
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: 24 / 24 (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Znamenáček Jiří Ing.
Interchangeability : N143036
Annotation -
In this introductional course students will gain knowledge of basic programming problems and principles. The main programming language of the course is Python.
Last update: Kubová Petra (12.07.2019)
Aim of the course -

Students will be able to:

Understand the basics of digital technology and its programming.

Describe algorithm solution in natural language and implement it in the selected programming language.

Understand the term recursion and detect appropriate places for its use.

Know basic datatypes system and programming constructs of Python programming language.

Know basic methods for textual files processing, especially in Python programming language.

Last update: Kubová Petra (12.07.2019)
Literature -

R: Töpfer, Pavel: "Algoritmy a programovací techniky". Prometheus, Praha 2010 (1995). ISBN 978-80-7196-350-9

R: Necaise, Rance D.: "Data Structures and Algorithms Using Python". John Wiley & Sons, 2011. ISBN 978-0-470-61829-5

R: Turzík, Daniel; Pavlíková, Pavla: "Diskrétní matematika". VŠCHT, Praha 2007. ISBN 978-80-7080-667-8



Last update: Kubová Petra (12.07.2019)
Learning resources - (Czech translation at

Last update: Kubová Petra (12.07.2019)
Requirements to the exam - Czech

Zápočet -- teoretický test na jednoduché aplikace probrané látky (základy Pythonu, rozbor předložených programových kódů…)

Zkouška -- teoretický test (Karel+Python) plus praktická část (Python; typicky zpracování textových dat)

Při praktické části je povoleno používat libovolné zdroje.

Last update: Kubová Petra (12.07.2019)
Syllabus -

1. introduction to programming

2. algoritmization in natural language - loops and conditions

3. algoritmization in natural language - recursion

4. algoritmization in programming language

5. numerical types & Boolean

6. functions & strings

7. lists & mutable and immutable data types

8. text files & tuples

9. dictionaries & sets

10. comprehensions & exceptions & debugging

11. text files' encoding & binary files

12. more on functions

13. practical applications I

14. practical applications II

Last update: Kubová Petra (12.07.2019)
Registration requirements -

No prior extensive/deep knowledge of programming required

Last update: Kubová Petra (12.07.2019)