| Course title | Introduction to Artificial Intelligence |
|---|---|
| Course code | KRP/INUI2 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Master |
| Year of study | 1 |
| Semester | Summer |
| Number of ECTS credits | 5 |
| 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) |
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| Course content |
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1. Introduction. Basics and Definitions. History. 2. Biological Neural Network. Biological Neuron. 3. Artificial Neural Network. Artificial Neuron. Perceptron. 4. Artificial Neural Network Training and Testing. 5. Classes of Artificial Neural Networks. 6. Feedforward Multilayer Artificial Neural Networks. 7. Backpropagation Gradient Descent Training Algorithm. 8. Static Modelling. Training and Testing Sets. 9. Dynamic Modelling. Training and Testing Set. 10. Process Control Using Artificial Neural Networks. 11. Genetic Algorithms. 12. Genetic Algorithms Applications. 13. Motivation for Artificial Intelligence Applying. Practical Implementations
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| Learning activities and teaching methods |
| Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work |
| Learning outcomes |
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The goal of the subject is to teach the students modern methods how to model static and dynamical properties of the system. Students will learn neural network paradigm, theoretical background and practical implementation.
Student will be able to create artificial neural networks and realize computationally their learning and implementation. |
| Prerequisites |
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Static and dynamical properties description. Differential and difference equations solution. Basics of continuous- and discrete-time modelling of the processes. Basic knowledge of the computational system MATLAB/SIMULINK.
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| Assessment methods and criteria |
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Oral examination, Home assignment evaluation
Seminar lessons attendance. Written seminar work. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2016) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2014) | Category: Electrical engineering, telecommunication and IT | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2013) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2015) | Category: Electrical engineering, telecommunication and IT | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2014) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2015) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2014) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2016) | Category: Electrical engineering, telecommunication and IT | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2015) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |
| Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2016) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |