| Course title | MATLAB Programming Fundamentals |
|---|---|
| Course code | KHT/ZPM |
| Organizational form of instruction | Lesson |
| Level of course | Master |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 4 |
| Language of instruction | Czech, English |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | Course does not contain work placement |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Excercises: 1. Getting started with Matlab. Working environment, windows, paths, basic commands, variables. Loading, saving and information about variables. Help. 2. Mathematics with vectors and matrices. Creating vectors and matrices. Indexing. Special matrices. Matrix operations. Element by element operations. Relational operations, logical operations, examples and trics. 3. Control flow.. Loops, conditional statements, examples. 4. Script m-files, Function m-files. 5. Visualisation. Two-dimensional graphics. Three-dimensional graphics. 6. Graphical user interface. 7.-10. Statistics and Machine Learning Toolbox. Basics of statistical data processing, exploratory data analysis, descriptive statistics, data visualisation, hypotesis testing, confidence intervals, regression analysis, control charts. 11.-13. Solution of practical problems in textile and industrial engineering.
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| Learning activities and teaching methods |
Monological explanation (lecture, presentation,briefing), Practicum
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| Learning outcomes |
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The aim of the course is to acquire basics knowledge and skills of students the MatLab program. Exercises will take place in the computer room, students will practice the subject matter directly on the computer. Exercises will be solved examples and concrete problems of industrial engineering. At the end of the course students will be able to use MatLab for their own work and will be ready to deepen their programming skills in MATLAB. The subject matter is governed by the official MatLab manual available on the MathWorks website.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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Oral exam, Practical demonstration of acquired skills
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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