Computer Science (FSI-1IN)

Academic year 2025/2026
Supervisor: doc. Ing. Jakub Kůdela, Ph.D.  
Supervising institute: ÚAI all courses guaranted by this institute
Teaching language: Czech
Course type: departmental course
Aims of the course unit:
The aim is to acquire the use of computers to solve problems focused to technical systems and processes modeling.
Students will acquire the basic knowledge of modeling technical systems and technological processes. They will gain experience with solving problems using tools of Python. Students will learn the basics of imperative programming.
Learning outcomes and competences:
 
Prerequisites:
 
Course contents:
The course deals with selected of software modeling tools, which are often used in engineering practice. The variables, commands, data import/export, drawing, procedures and functions are presented and rules of program developing are demonstrated in Python language. Python capabilities are illustrated with examples of simple models of technical systems and technological processes.
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:

The maximum achievable score 100b (ECTS). Partial e-tests (6 tests up to 10 points), final test (max. 40 points). For passing the course it is necessary at least 50 points, including at least 20 points from e-tests and 10 points from the final test. Moreover, none of the sub-examples of the final test will have a score below 2 points. Furthermore, successful completion of Python Onramp.

The attendance at lectures is recommended while at seminars it is obligatory. Education runs according to week schedules. The form of compensation of missed seminars is fully in the competence of a tutor.
Controlled participation in lessons:
 
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Computer-assisted exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Lecture 1. Introduction to computer science and modelling, introduction to Python.
2. Vectors and matrices, matrix operations, matrix and index expressions.
3. Control structures.
4. Polynomials: representation, evaluation, visualisation, operations with polynomials.
5. Graph drawing: point graph in plane, curve in space, surfaces, discrete data graphs.
6. Input and output operations.
7. Functions I: built-in functions, user defined functions, parameter types.
8. Functions II: functions with multiple parameters and return values, recursive functions.
9. Text operations.
10. Symbolic computation. Numerical derivation and integration.
11. Practical engineering problem solving.
12. Introduction to object oriented programming.
13. Python toolboxes, final discussion.
    Computer-assisted exercise 1. Python environment, simple expressions, operators and variables.
2. Matrices and matrix operations. M-scripts.
3. Control Structures I.
4. Control structures II.
5. Graphs. Polynomials.
6. Data Acquisition and Processing.
7. Input and output operations.
8. Function I.
9. Function II. Recursion.
10. Working with texts.
11. Symbolic calculations. Example of engineering task solution.
12. Final test.
13. Submission of semester project. Credit.
Literature - fundamental:
6. The MathWorks Inc.: MATLAB version: R2024a (dokumentace), Natick,Massachusetts, 2024. https://www.mathworks.com
7. Etter, D.M.: Introduction to MATLAB, Pearson, 2015.
8. Siauw, T., Bayen, A.: An Introduction to MATLAB Programming and Numerical Methods for Engineers, Academic Press, 2014.
9. Palm, W.J.: Introduction to MATLAB for Engineers, McGraw-Hill Education, 3.vydání, 2010.
Literature - recommended:
1. Wirth, N.: Algorithms and Data Structures, Prentice Hall, 1985.
2. Wengrow, J.: A Common-sense Guide to Data Structures and Algorithms, Pragmatic Bookshelf, 2. vydání, 2020.
3. Sedgewick, R., Wayne, K.: Algorithms, Addison-Wesley, 4. vydání, 2016.
4. Karban, P.: Výpočty a simulace v programech Matlab a Simulink, Computer Press, 2006.
5. Hanselman, D. C.: Mastering Matlab 6: A Comprehensive Tutorial and Reference, 2001.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
C-AKR-P full-time study CZS -- GCr 5 Elective 1 1 W
B-ENE-P full-time study --- no specialisation -- GCr 5 Compulsory 1 1 W
B-FIN-P full-time study --- no specialisation -- GCr 5 Compulsory 1 1 W
B-KSI-P full-time study --- no specialisation -- GCr 5 Compulsory 1 1 W
B-PRP-P full-time study --- no specialisation -- GCr 5 Elective 1 1 W
B-VTE-P full-time study --- no specialisation -- GCr 5 Compulsory 1 1 W
B-ZSI-P full-time study STI Fundamentals of Mechanical Engineering -- GCr 5 Compulsory 1 1 W
B-ZSI-P full-time study MTI Materials Engineering -- GCr 5 Compulsory 1 1 W
B-STR-P full-time study AIŘ Applied Computer Science and Control -- GCr 5 Compulsory 1 1 W
B-STR-P full-time study KSB Quality, Reliability and Safety -- GCr 5 Compulsory 1 1 W
B-STR-P full-time study SSZ Machine and Equipment Construction -- GCr 5 Compulsory 1 1 W
B-STR-P full-time study STG Manufacturing Technology -- GCr 5 Compulsory 1 1 W