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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Algorithms and programming

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Code Completion Credits Range Language
B3B33ALP Z,ZK 6 2P+2C Czech

In order to register for the course B3B33ALP, the student must have registered for the required number of courses in the group BEZBM no later than in the same semester.

During a review of study plans, the course BAB37ZPR can be substituted for the course B3B33ALP.

It is not possible to register for the course B3B33ALP if the student is concurrently registered for or has previously completed the course BAB37ZPR (mutually exclusive courses).

Garant předmětu:
Jan Kybic, Vojtěch Vonásek
Lecturer:
Vojtěch Vonásek
Tutor:
Pavel Petráček, Martin Řimnáč, Petr Štěpán, Vojtěch Vonásek
Supervisor:
Department of Cybernetics
Synopsis:

This subject will give students a basic understanding of algorithms and programming and teach them to design, implement and test algorithms for simple tasks. The students will understand the notion of computational complexity. They will learn about basic program building blocks such as loops, conditional statements, variables, functions and recursion. We will introduce the most often used data structures (queue, stack, list, array etc) and operations on them. We will show the basic algorithms, for example for searching and sorting. Students will learn to write simple programs in Python.

Requirements:

None.

Syllabus of lectures:

1. Introduction. Basis programming structures and techniques (loops, conditional statements). Python programming language.

2. Functions, strings, modules. Principles of functional programming.

3. Data types. Arrays.

4. Assymptotic complexity. Searching and sorting.

5. Recursion. Quick sorting.

6. Records. Principles of object oriented programming. Queue and stack.

7. Finite automaton. Regular expressions.

8. Linked lists. Trees.

9. Priority queue, heap, heapsort.

10. Sets and association maps. Hash tables.

11. State space search.

12. Constraint satisfaction. Dynamic programming.

13. Graphs and graph algorithms.

14. Numerical calculations and visualization.

Syllabus of tutorials:

Exercises in computer labs will help the students to internalize the content from lectures; they will get used to programming habits and will experimentaly verify the features of algorithms. Programming at home is an important part of the study.

Study Objective:

The goal of the course is to give students elementary knowledge of programming and algorithmization and teach them to design, implement and test programms for solving simple tasks.

Study materials:

• Wentworth, Peter, Elkner, Jeffrey and Downey, Allen B. and Meyers, Chris. 2012. How To Think Like a Computer Scientist - Learning with Python 3 (RLE), 3. vyd. Available online: http://openbookproject.net/thinkcs/python/english3e/.

• Downey, Allen B. 2016. Think Python: How to Think Like a Computer Scientist. 2. vyd. Sebastopol, CA: O’Reilly Media. Available online: https://greenteapress.com/thinkpython2/html/index.html

• Zelle, John. 2016. Python Programming: An Introduction to Computer Science. 3. vyd. Portland, Oregon: Franklin, Beedle & Associates. Materials at https://mcsp.wartburg.edu/zelle/python/.

• Sedgewick, Robert, Kevin Wayne, a Robert Dondero. 2015. Introduction to Programming in Python: An Interdisciplinary Approach. New York: Addison-Wesley Professional.

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/B3B33ALP
Time-table for winter semester 2023/2024:
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:E-107
Vonásek V.
09:15–10:45
(lecture parallel1)
Karlovo nám.
Zengerova posluchárna K1
roomKN:E-230
Řimnáč M.
12:45–14:15
(lecture parallel1
parallel nr.104)

Karlovo nám.
Laboratoř PC
roomKN:E-132
Vonásek V.
16:15–17:45
(lecture parallel1
parallel nr.105)

Karlovo nám.
Laboratoř PC
roomKN:E-230
Řimnáč M.
11:00–12:30
(lecture parallel1
parallel nr.101)

Karlovo nám.
Laboratoř PC
roomKN:E-327
Petráček P.
16:15–17:45
(lecture parallel1
parallel nr.108)

Karlovo nám.
Solarium K327
roomKN:E-132

12:45–14:15
(lecture parallel1
parallel nr.109)

Karlovo nám.
Laboratoř PC
roomKN:E-132
Štěpán P.
14:30–16:00
(lecture parallel1
parallel nr.102)

Karlovo nám.
Laboratoř PC
roomKN:E-230
Vonásek V.
14:30–16:00
(lecture parallel1
parallel nr.103)

Karlovo nám.
Laboratoř PC
Tue
roomKN:E-132
Štěpán P.
09:15–10:45
(lecture parallel1
parallel nr.107)

Karlovo nám.
Laboratoř PC
roomKN:E-230
Petráček P.
11:00–12:30
(lecture parallel1
parallel nr.106)

Karlovo nám.
Laboratoř PC
Wed
Thu
Fri
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-03-27
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4673906.html