Course: Machine Learning and Knowledge Acquisition Methods

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Course title Machine Learning and Knowledge Acquisition Methods
Course code UI/DI005
Organizational form of instruction no contact
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • BERKA Petr, prof. Ing. CSc.
Course content
1. The role of knowledge in intelligent systems. 2. Resources for knowledge acquisition: experts, texts, examples of decisions, observation data. 3. Methods of knowledge acquisition from experts. Knowledge modelling, the KADS methodology. 4. Definition, goals and history of machine learning. Representation of knowledge and data, types of goal concepts. 5. Computational complexity of algorithms of machine learning, the learnability theory. 6. Quality of the acquired knowledge, the role of data and knowledge. 7. Induction of the decision trees, induction of rules from data. 8. The GUHA method, combinatorial data analysis. 9. The set covering method. Concept clustering. Unsupervised learning. 10. Learning of concepts in the first order language. Inductive logic programming. 11. Connectionist learning. Genetic algorithms. 12. Case-Based Reasoning. Knowledge mining from databases.

Learning activities and teaching methods
Interactive lecture, Lecture with a video analysis
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Philosophy and Science in Opava Autonomous Systems (1) Informatics courses - -
Faculty of Philosophy and Science in Opava Autonomous Systems (1) Informatics courses - -
Faculty of Philosophy and Science in Opava Autonomous Systems (1) Informatics courses - -
Faculty of Philosophy and Science in Opava Autonomous Systems (1) Informatics courses - -