Course objectives:
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The goal of the course is to familiarise students with basic types of artificial neural networks and with their possible applications.
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Requirements on student
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Credit: writing and presentation of a report
Exam: knowledge corresponding to the extent of the course
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Content
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Motivations for the development of artificial neural networks, history of the development of artificial neural networks. Basic functions of human brain, principles of biological neural networks. Basic terms, models of the neuron, basic types of neural networks: multilayer networks, recurrent networks, feedforward networks. Algorithms for neural network learning, supervised learning, unsupervised learning. Algorithm backpropagation, self-organizing networks. Principles of the function of neural networks. Associative memories. Hopfield network. Recognition, separability. Examples of the application of neural networks.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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39
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Preparation for an examination (30-60)
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40
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Preparation for comprehensive test (10-40)
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23
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Graduate study programme term essay (40-50)
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45
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Presentation preparation (report) (1-10)
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10
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Total
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157
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
Students should have basic knowledge of mathematics. |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
The graduates will chiefly be able to:
- define terms of neural networks,
- describe various types of neural networks,
- list the areas where artificial neural networks can be used,
- explain function of basic types of artificial neural networks.
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture with visual aids |
Practicum |
Textual studies |
Self-study of literature |
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