Course info
Lectures: Mondays 14.15 - 16.00 Narva mnt 18 - 2040
Practices: Tuesdays 14.15 - 16.00 Narva mnt 18 - 1025
Lecturer: Stefania Tomasiello (stefania.tomasiello@ut.ee; stefania.tomasiello@gmail.com)
The course starts with the lecture on February 10, 2020. There will be no practice sessions during the first week.
About the course
The aim of this course is to introduce students to the main topics and some of the latest advancements in fuzzy logic and soft computing. The following topics will be covered during the course:
- Fuzzy sets
- Zadeh’s Extension Principle and fuzzy numbers
- Fuzzy relations
- Fuzzy logic
- Fuzzy-rule based systems
- Fuzzy Inference Systems
- Essentials of Artificial Neural Networks
- A brief introduction to Genetic Algorithms
- Combining Artificial Neural Networks, fuzzy sets and evolutionary computations
- Least-squares based approaches
- Fuzzy regression
- Fuzzy transform and data compression
- Granular computing: some notions
- Granular models
Grading
The final grade will depend on:
- homework assignments (70%),
- project (30%).
>90 points, A; >80 points, B; >70 points, C and so on.
Materials
Course announcements, study materials and updates will appear here.