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Lecturer(s)
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Karban Pavel, prof. Ing. Ph.D.
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Course content
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Introducing students to industrial informatics in professional practice. Solving real-world situations, designs, modeling, programming, construction, user applications, technical documentation. The course is divided into several thematic areas in terms of the issues addressed: - computer modeling and data analysis, - embedded systems, - industrial robotics, - application development.
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Learning activities and teaching methods
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One-to-One tutorial, Group discussion, Individual study
- Graduate study programme term essay (40-50)
- 30 hours per semester
- Contact hours
- 26 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| to have knowledge in the field of electrical engineering |
| to have knowledge in the field of computer technology |
| Skills |
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| to use commonly available information and communication technique |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| to recognize the various specifics of industrial informatics applications in different sectors |
| to clarify methodological approaches to solving technical problems in the field of industrial informatics |
| to have an application insight into the issue |
| to establish links between practice and theoretical knowledge |
| Skills |
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| to apply theoretical knowledge |
| to identify major issues in a wide range of applications |
| to analyze, design, and optimize applications or devices with regard to actual practical needs |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
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| Knowledge |
|---|
| Lecture |
| Lecture supplemented with a discussion |
| Multimedia supported teaching |
| Skills |
|---|
| Lecture |
| Lecture supplemented with a discussion |
| Multimedia supported teaching |
| Competences |
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| Lecture supplemented with a discussion |
| Lecture |
| Multimedia supported teaching |
| assessment methods |
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| Knowledge |
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| Seminar work |
| Continuous assessment |
| Skills |
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| Seminar work |
| Individual presentation at a seminar |
| Competences |
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| Continuous assessment |
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Recommended literature
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Jay Lee. Industrial AI Applications with Sustainable Performance. 2020.
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Michael Weyrich. Industrial Automation and Information Technology. 2024.
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