Course detail

Computer Programming 2

FEKT-BPA-PP2Acad. year: 2020/2021

Python, data types, control structures and functions, modules and packages, algorithms (search for maximum / minimum, Euclidean algorithm, multiplication of matrices, roots of polynomials, Gauss-Seidel method, sorting algorithms), object-oriented programming, working with files, image Processing (OpenCV), graphical User Interface Programming (Qt, Tk).

Nabízen zahradničním studentům

Všech fakult

Learning outcomes of the course unit

Obtaining basic programming abilities and the ability of algorithmic thinking. Understanding basic properties and strctures of Python and the ability to apply them.


The subject knowledge on the secondary school level is required.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

KOCHAN, Stephen G. Programming in C. 3rd ed. Indianapolis, Ind.: Sams Pub., c2005. ISBN 0-672-32666-3. (EN)
VANDEVOORDE, David, Nicolai JOSUTTIS a Douglas GREGOR. C++ templates: the complete guide. Second edition. Boston: Addison-Wesley, [2018]. ISBN 978-0-321-71412-1. (EN)

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

The student can obtain up to 32 points for the activity in computer exercises and 68 points for an individual project in Python.

Language of instruction


Work placements

Not applicable.

Course curriculum

1. Introduction to procedural programming in Python. Basic data types
2. Data types (Sets, N-flows, collections), function creation and calling
3. Control structures and functions, modules and packages, local and recursive functions
4. Algorithms I (search for maximum / minimum, Euclidean algorithm, multiplication of matrices, roots of polynomials, Gauss-Seidel method, sorting algorithms)
5. Object-oriented programming, working with files
6. Image Processing (OpenCV)
7. Processes and threads, databases
8. Working with vectors, matrices and tensors
9. Networking
10. Neural networks
11. Algorithms II (1D convolution, FIR filtering, Flood fill, Dijkstra's algorithm)
12. Graphical User Interface Programming (Qt, Tk)
13. Basics and syntax of C language


To educate students in algorithmic and programming thinking. To explain basic properties and structures of Python language.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Classification of course in study plans

  • Programme BPA-ELE Bachelor's

    specialization BPA-ECT , 2. year of study, winter semester, 5 credits, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer