Fuzzy Sets nad Systems Field of study: Computer Science
Programme code: W4-S2IN19.2021

Module name: Fuzzy Sets nad Systems
Module code: W4-IN-S2-20-F-ZiSR
Programme code: W4-S2IN19.2021
Semester:
  • summer semester 2022/2023
  • winter semester 2022/2023
  • summer semester 2021/2022
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
Classes familiarize students with the theory of fuzzy sets in terms of flexible representation of uncertain, inaccurate data or preferences. On the basis of this theory, the basics of fuzzy inference, resulting from classical logic, are introduced. Ultimately, classes lead to the theory 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]
Defines the concept of fuzzy set and describes its use in defining imprecise concepts [M_001]
 K_W01 [1/5] K_W09 [1/5]
Knows the basic principles of the mechanism of inference in classical logic and their generalization in fuzzy logic - i.e. fuzzy inference [M_002]
 K_W01 [1/5]
Defined the structure and knows the pronciples of rule-based fuzzy system [M_003]
 K_W01 [1/5]
Knows the tools to implement fuzzy systems [M_004]
 K_W04 [1/5]
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]
Implements fuzzy systems using available programming tools [M_006]
 K_U08 [1/5] K_U09 [1/5] K_U10 [1/5]
Is able to assess the importance of using various methods of artificial intelligence in solving a specific problem [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]
Answers to several open questions as part of a written essay. The questions relate to the theoretical aspects presented in the lecture.
 M_001 M_002 M_003
Project assignments [W_002]
Assessment of the implementation of several project tasks assigned by the teacher and their documentation in the form of 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]
Verbal presentation of theoretical content, supported by tools such as classic blackboard or multimedia presentations
 15
Studying the content presented during the lecture
 25 Test [W_001]
laboratory classes [Z_002]
Discussing and support of the teacher during the implementation of tasks by students 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)