FSI-1IN-KAcad. year: 2019/2020
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 Matlab language. Matlab capabilities are illustrated with examples of simple models of technical systems and technological processes.
Learning outcomes of the course unit
Students will acquire the basic knowledge of modeling technical systems and technological processes. They will gain experience with solving problems using tools of Matlab/Octave. Students will learn the basics of imperative programming.
The usual secondary school computer literacy is supposed.
Recommended optional programme components
Recommended or required reading
Wirth, N.: Algorithms and Data Structures
Březina, T. a kol.: Informatika pro strojní inženýry I (skriptum VUT)
Šeda, M.: Cvičení z informatiky I (skriptum VUT)
Parsons, T.W.: Introduction to Algorithms in Pascal
Bizinger, T.: Naučte se programovat v Delphi
Miller, T., Powell, D.: Mistrovství v Delphi 3
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
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.
Language of instruction
The aim is to acquire the use of computers to solve problems focused to technical systems and processes modeling.
Specification of controlled education, way of implementation and compensation for absences
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.
Type of course unit
17 hours, optionally
Teacher / Lecturer
1. Introduction to computer science and modelling, introduction to Matlab.
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. Matlab toolboxes, final discussion.
35 hours, compulsory
Teacher / Lecturer
1. Matlab 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.
eLearning: currently opened course