Selected methods of data mining Field of study: Computer Science
Programme code: 08-S2INIA15.2019

Module name: Selected methods of data mining
Module code: 08-IN-IIN-S2-WMED
Programme code: 08-S2INIA15.2019
Semester: winter semester 2020/2021
Language of instruction: English
Form of verification: course work
ECTS credits: 2
Description:
Aim of classes in this module is preparing the students to solve tasks connected with the issue of image processing and methods of statistic inference. As a result, it leads to deepening of knowledge in the field of mathematical foundations of image processing and analysis of multidimensional data.
Prerequisites:
(no information given)
Key reading:
(no information given)
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]
Can present opinions and conclusions concerning theoretical and practical aspects of image compression and statistic inference. [WMED-K_10]
 K_K01 [1/5]
Can execute a group task concerning morphological operations on digital image in order to bring out its qualities in a specific program. Can lossy and lossless compress images realizing the task in the fixed time. [WMED-K_9]
 K_U02 [1/5] K_K01 [1/5]
Using analysis of variance can (test F) asses data community on the basis of sample distribution. [WMED -U_7]
 K_U01 [1/5] K_U04 [1/5] K_U05 [1/5] K_U07 [3/5] K_U08 [1/5]
Can reduce data space dimension. [WMED -U_8]
 K_U07 [3/5] K_U12 [1/5] K_U16 [3/5] K_U17 [2/5]
Has basic knowledge in the field of spectrum analysis. Knows assumptions of direct and inverse discreet Fourier transform. [WMED -W_1]
 K_W01 [3/5] K_W03 [3/5]
Has basic knowledge in the field of DCT, DST, Walsh and Haar transforms. [WMED -W_2]
 K_W08 [2/5] K_W17 [3/5] K_W18 [3/5]
Has basic knowledge concerning application rules of the specific transformations in engineering practice. [WMED -W_3]
 K_W17 [1/5]
Has knowledge concerning principles of two dimensional transformations use taking into account uses in image processing. Knows basic image morphological transformations. [WMED -W_4]
 K_W01 [2/5] K_W15 [3/5] K_W17 [1/5]
Knows principles of lossy and lossless image compression. [WMED -W_5]
 K_W01 [1/5] K_W03 [1/5] K_W17 [1/5]
Knows basics of Fishera and PCA statistical inference. [WMED -W_6]
 K_W01 [1/5] K_W03 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Credit [WMED -w_1]
Solving tasks of content, one after each section discussed during lecture.
 WMED -W_1 WMED -W_2 WMED -W_3 WMED -W_4 WMED -W_5 WMED -W_6
Control tests [WMED -w_2]
Tests and quizzes connected with the current topic of laboratory class and checking theoretical knowledge of the lecture.
 WMED -U_7 WMED -U_8
Programming works in MATLAB environment [WMED -w_3]
Documenting, elaborating and verifying results of tasks solved during laboratory classes.
 WMED-K_10 WMED-K_9 WMED -U_7 WMED -U_8
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 [WMED _fs_1]
Educational content presented in traditional form and with use of audiovisual aids.
 10
Familiarizing with lecture content and individual verification of laboratory class of programming in MATLAB environment solutions.
 5 Credit [WMED -w_1]
laboratory classes [WMED _fs_2]
Detailed checking of preparation to solve tasks taking into account methodology of proceedings. Testing correctness of solutions. Presenting principles of project documenting.
 30
Solving tasks of subsequent subjects together with analysis of the already existing solutions. Comparing obtained results in various groups. Optimization of the program code. Presenting solutions together with analysis of the already existing ones. Evaluation of the group work.
 15 Control tests [WMED -w_2] Programming works in MATLAB environment [WMED -w_3]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)