Course detail
Computer Science
FSI-1IN Acad. year: 2025/2026 Winter semester
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.
Supervisor
Department
Learning outcomes of the course unit
Prerequisites
Planned learning activities and teaching methods
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.
Language of instruction
Czech
Aims
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.
Specification of controlled education, way of implementation and compensation for absences
The study programmes with the given course
Programme B-FIN-P: Physical Engineering and Nanotechnology, Bachelor's
branch ---: no specialisation, 5 credits, compulsory
Programme B-KSI-P: Mechanical Engineering Design, Bachelor's
branch ---: no specialisation, 5 credits, compulsory
Programme B-PRP-P: Professional Pilot, Bachelor's
branch ---: no specialisation, 5 credits, elective
Programme B-ENE-P: Energy, Bachelor's
branch ---: no specialisation, 5 credits, compulsory
Programme B-STR-P: Engineering, Bachelor's
branch AIŘ: Applied Computer Science and Control, 5 credits, compulsory
Programme C-AKR-P: , Lifelong learning
branch CZS: , 5 credits, elective
Programme B-STR-P: Engineering, Bachelor's
branch KSB: Quality, Reliability and Safety, 5 credits, compulsory
Programme B-ZSI-P: Fundamentals of Mechanical Engineering, Bachelor's
branch MTI: Materials Engineering, 5 credits, compulsory
Programme B-STR-P: Engineering, Bachelor's
branch SSZ: Machine and Equipment Construction, 5 credits, compulsory
Programme B-STR-P: Engineering, Bachelor's
branch STG: Manufacturing Technology, 5 credits, compulsory
Programme B-ZSI-P: Fundamentals of Mechanical Engineering, Bachelor's
branch STI: Fundamentals of Mechanical Engineering, 5 credits, compulsory
Type of course unit
Lecture
26 hours, optionally
Syllabus
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
26 hours, compulsory
Syllabus
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.