Fuzzy sets nad systems Field of study: Computer Science
Programme code: W4-S2INA19.2020

Module name: Fuzzy sets nad systems
Module code: W4-INA-S2-20-F-ZiSR
Programme code: W4-S2INA19.2020
Semester:
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
The classes familiarise the students with the theory of fuzzy sets in terms of flexible representation of uncertain, inaccurate data or preferences. This theory is a ground for introducing the students to the basics of fuzzy inference resulting from classical logic. Ultimately, classes lead to the idea of building and applying fuzzy rule-based systems.
Prerequisites:
(no information given)
Key reading:
Computational Intelligence - Methods and Techniques, Leszek Rutkowski, Springer Fuzzy and Neuro-Fuzzy Intelligent Systems, Ernest Czogała, Jacek Łęski
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
The student can explain the concept of fuzzy sets and describe their use in defining imprecise concepts. [M_001]
 K_W01 [1/5] K_W09 [1/5]
The student knows the basic principles of inference in classical logic and their generalisation in fuzzy logic, i.e. fuzzy inference [M_002]
 K_W01 [1/5]
The student can define the structure and knows the principles of fuzzy rule-based systems. [M_003]
 K_W01 [1/5]
The student knows the tools to implement fuzzy systems. [M_004]
 K_W04 [1/5]
The student designs information systems using the ideas of fuzzy sets to address the uncertainty of input data. [M_005]
 K_U08 [1/5] K_U09 [1/5] K_U10 [1/5]
The student implements fuzzy systems using available programming tools. [M_006]
 K_U08 [1/5] K_U09 [1/5] K_U10 [1/5]
The student can assess the importance of using various methods of artificial intelligence in solving specific problems. [M_007]
 K_K01 [1/5] K_K04 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [W_001]
The written test comprises several open-ended questions which relate to the theoretical aspects presented in the lectures.
 M_001 M_002 M_003
Project assignments [W_002]
The students implement several project tasks assigned by the teacher and document them as a report.
 M_004 M_005 M_006 M_007
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [Z_001]
The lectures' theoretical content is presented verbally and supported by tools such as classic blackboard or multimedia presentations.
 15
The students internalise the content presented during the lecture.
 25 Test [W_001]
laboratory classes [Z_002]
The students discuss the problems and support the teacher during implementing tasks in the computer laboratory.
 30
Implementation of tasks presented by the teacher in the computer laboratory.
 50 Project assignments [W_002]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)