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Lecturer(s)
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Polreich Milan, Ing. Ph.D.
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Course content
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The semester work is focused on solving problems in the field of artificial intelligence, signal processing, voice dialogue systems, automatic recognition and synthesis of speech and language, etc. The work is focused on research and application projects for presentation and university projects and at the same time with an overlap on an application in industry. Emphasis is placed on self-study and independent student work. The literature will be determined according to the assigned topic of the thesis.
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Learning activities and teaching methods
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One-to-One tutorial, Task-based study method, Individual study, Self-study of literature
- Individual project (40)
- 40 hours per semester
- Presentation preparation (report) (1-10)
- 10 hours per semester
- Graduate study programme term essay (40-50)
- 50 hours per semester
- Preparation for laboratory testing; outcome analysis (1-8)
- 8 hours per semester
- Practical training (number of hours)
- 48 hours per semester
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| prerequisite |
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| Knowledge |
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| to use knowledge of already completed basic and profiling subjects |
| to understand the methods of analysis and synthesis of cybernetic systems such as identification, filtration, control and regulation of systems |
| to work with a scientific literature, elaborate the searches |
| Skills |
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| to algorithmize methods and implement them in a suitable programming environment |
| to measure or identify the properties and nature of objects or processes in a specified task |
| to acquire, analyze and visualize a data |
| expertly elaborate and evaluate the achieved results of solving a given task |
| Competences |
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| N/A |
| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| to have an overview about state of the art in a field of the current solved task |
| to understand the methods of engineering approach to specification, formulation and problem solving |
| to understand the methodology of analysis, synthesis and critical evaluation of proposed methods and achieved results |
| to know the principles and methods related to the solution of a given task and its success in given conditions |
| Skills |
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| to apply knowledge and skills acquired during the study to the solved problems in the relevant area of the assigned task |
| to use appropriate design tools and means to solve the assigned task |
| to elaborate concise and comprehensible technical documentation describing the solution of a given task |
| to present and justify significant parts of their work |
| Competences |
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| N/A |
| N/A |
| teaching methods |
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| Knowledge |
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| Task-based study method |
| Self-study of literature |
| One-to-One tutorial |
| Skills |
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| Task-based study method |
| Individual study |
| Laboratory work |
| Competences |
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| Individual study |
| Students' portfolio |
| assessment methods |
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| Knowledge |
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| Project |
| Individual presentation at a seminar |
| Skills |
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| Project |
| Individual presentation at a seminar |
| Competences |
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| Individual presentation at a seminar |
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Recommended literature
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KKY FAV ZČU. STUDENTSKÉ PRÁCE NA KATEDŘE KYBERNETIKY. ZČU v Plzni, 2020.
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