Decision and association rules in knowledge data discovery Field of study: Computer Science
Programme code: W4-N2IN19.2021

Module name: Decision and association rules in knowledge data discovery
Module code: W4-IN-N2-20-F-RDAOW
Programme code: W4-N2IN19.2021
Semester:
  • winter semester 2023/2024
  • 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:
The aim is to familiarize students with decision and association rules as a models of knowledge representation and classification models. Measures of rules quality, approaches and algorithms for their construction and applications in knowledge discovery will be studied.
Prerequisites:
(no information given)
Key reading:
1. Han J., Kamber M.: Data Mining: Concepts and Techniques, Morgan Kaufmann 2011 2. Cichosz P.: Systemy uczące się, WNT 2009 3. Krawiec K., Stefanowski J.: Uczenie maszynowe i sieci neuronowe, Wydawnictwo Politechniki Poznańskiej 2003 4. Larose D.: Metody i modele eksploracji danych, PWN 2008
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]
Has knowledge regarding quality measures for knowledge representation in the form of decision and association rules. [M_001]
 K_W09 [3/5]
Knows popular approaches and algorithms for construction decision and association rules. [M_002]
 K_W02 [3/5] K_W04 [2/5]
Is able to apply decision and association rules in knowledge discovery. [M_003]
 K_W09 [3/5] K_U01 [4/5] K_U03 [4/5] K_U08 [3/5]
Is able to choose and present the appropriate algorithm for creating a classification model for the considered problem. [M_004]
 K_U08 [3/5] K_U09 [3/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [W_001]
Knowledge verification is based on the content presented during lectures. It consists of questions regarding considered issues.
 M_001 M_002 M_003
Raport presentation for laboratory works [W_002]
Raport preparation and presentation in specified deadline, as a verification of skills acquired during implementation of laboratory assignments.
 M_001 M_002 M_003 M_004
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]
Forwarding knowledge in verbal form using audio-visual media and other written didactic aids. Activation of students by asking questions and simple tasks regarding the considered topics.
 15
Familiarize with subject of lectures, investigation considered topics.
 15 Test [W_001]
laboratory classes [Z_002]
Preparation of students for solving problems and assignments with an indication of the methodology and the order of performed activities.
 30
Preparation for the laboratory taks, independent solution of laboratory tasks by students, preparation of reports.
 60 Raport presentation for laboratory works [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)