Course: Artificial Neural Networks

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Course title Artificial Neural Networks
Course code KMI/UNS
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 4
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
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
  • Osička Petr, Mgr. Ph.D.
Course content
The course provides an introduction to artificial neural networks. Covered are theoretical foundations and selected applications. " Introduction to artificial neural networks. History, motivation, basic concepts. " Basics from biological neural networks. " Model of simple neuron. Problem of learning. " Multilayer neural networks and their recognition capability. " Multilayer neural networks with sigmoidal transfer function, backpropagation method. " Radial Basis Function networks. " Support Vector Machines. " Competition neural networks, Kohonen maps. " Associative neural networks. " Approximation capabilities of neural networks. " Complexity of learning. " Selected applications of neural networks.

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
The students become familiar with basic concepts of artificial neural networks.
2. Understanding. Understand the basic concepts of artificial neural networks.

Assessment methods and criteria
Oral exam, Written exam

Active participation in class. Completion of assigned homeworks. Passing the oral (or written) exam.
Recommended literature
  • Duda R. O. et al. (2001). Pattern Classification, (2nd ed.). John Wiley, New York.
  • Rojas R. (1996). Neural Networks: A Systematic Introduction. Springer.
  • Šíma J., Neruda R. (1996). Teoretické otázky neuronových sítí. MATFYZPress, Praha.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Science Computer Science (2015) Informatics courses 2 Winter
Faculty of Science Applications of Mathematics in Economy (2015) Mathematics courses 2 Winter
Faculty of Science Teaching Training in Computer Science for Secondary Schools (1) Pedagogy, teacher training and social care 2 Winter
Faculty of Science Applied Computer Science (1) Informatics courses 2 Winter
Faculty of Science Bioinformatics (1) Informatics courses - Winter