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Lecturer(s)
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Weinlich Petr, Ing. Ph.D.
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Dostál Michal, Ing. Ph.D.
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Semerádová Tereza, Mgr. Ph.D.
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Course content
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Lectures (topics): 1. What is artificial intelligence? 2. Problem solving using artificial intelligence 3. Artificial intelligence in the real world 4. Search and Games 5. Machine learning 6. Neural networks 7. Social impacts of artificial intelligence Seminars (topics): 1. Defining artificial intelligence 2. Solving beginner tasks using artificial intelligence 3. Solving more advanced tasks using artificial intelligence 4. Chance and probability, Bayes theorem. 5. Naive Bayesian classification 6. Classification by the nearest neighbor method 7. Regression 8. Basics of neural networks 9. Advanced neural network techniques 10. Artificial intelligence in graphic design 11. Artificial intelligence for creating optimized web content 12. Creating your own content with AI tools 13. Presentation of outputs from students' independent work. 14. Practicing tasks to master the final test.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course is implemented in cooperation with the association PRG.AI and academics from the Czech Technical University in Prague, Charles University and the Academy of Sciences of the Czech Republic. The course is implemented in a hybrid form, i.e. a combination of face-to-face and online teaching. The aim of the subject is to prepare students to master the material of the international course Elements of AI, sponsored by MinnaLearn and the University of Helsinki.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Completion of the Elements of AI international course.
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Recommended literature
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RUSSELL, S. a P. NORVIG. Artificial Intelligence: A Modern Approach. Global Edition. 4th ed.. Pearson, 2021. ISBN 978-1292401133.
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TAULLI, Tom. Artificial Intelligence. A non-technical introduction.. Boston.: Springer Business Media, 2019. ISBN 1484250273.
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