Course: Mathematics in Industry

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Course title Mathematics in Industry
Course code KMA/MPRM
Organizational form of instruction Seminar
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hromulák Daniel, Ing.
  • Machalová Jitka, doc. RNDr. Ph.D., MBA
  • Burkotová Jana, Mgr. Ph.D.
Course content
1. Introduction optics 2. Introduction electronics 3. Introduction to construction 4. Physics of light sources 5. Numerical simulations 6. Multidimensional analysis - production 7. Collection of production data, methods, techniques, technologies, equipment, databases 8. Systems of coordinate and their reciprocity 9. Statistical process control 10. Industry 4.0. 11. Measurement System Analysis (MSA) 12. Excursion

Learning activities and teaching methods
unspecified
Learning outcomes
To introduce students to the basic principles of the application of mathematics in industry.
Understanding the basic principles of mathematics in industry.
Prerequisites
Knowledge of basic mathematics courses.

Assessment methods and criteria
Seminar Work

Active participation Seminar work
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) Category: Mathematics courses - Recommended year of study:-, Recommended semester: Winter