MS1MSC - Soft-computing Methods
| Course specification | ||||
|---|---|---|---|---|
| Course title | Soft-computing Methods | |||
| Acronym | MS1MSC | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Signals and Systems | |||
| Type of study | master academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | none | |||
| The goal | Objective of the course is for the students to become able to design neural networks, fuzzy systems or genetic algorithms with the final aim to solve some control, signal processing or pattern recognition problem. | |||
| The outcome | Students should have skills to, according to the problem to be solved, make a choice of a proper soft-computing technique, define necessary a prior knowledge, generate or acquire corresponding algorithm training set, make a fine tuning of controlling parameters, design an algorithm and evaluate it. | |||
| Contents | ||||
| Contents of lectures | Structure of genetic algorithms; Selection, crossing-over, mutation; Optimization of criteria with constrains based on genetic algorithms; Salesman problem; Fuzzy sets; Fuzzy operation; Fuzzy algorithms; Design of fuzzy expert systems; Introduction to neural networks; Types of neural networks; Backward error propagation; Application of neural networks; Associative memory. | |||
| Contents of exercises | Design of particular fuzzy expert system; Optimization of particular problem using genetic algorithm; Design of associative memory or process controller based on neural network. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | |||
| Methods of teaching | Lectures and practical lab work | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 60 | |
| Practical lessons | 40 | Oral examination | 0 | |
| Projects | 0 | |||
| Colloquia | 0 | |||
| Seminars | 0 | |||