Advanced methods of data analysis Field of study: Computer Science
Programme code: W4-S2INA19.2021

Module name: Advanced methods of data analysis
Module code: W4-INA-S2-20-F-ZMAD
Programme code: W4-S2INA19.2021
Semester:
  • summer semester 2022/2023
  • winter semester 2022/2023
  • summer semester 2021/2022
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
The lectures discuss the identification of phenomena occurring in data sets. These phenomena, such as the properties of the Boolean function, data compression or steganography, will be detected using selected discrete transforms, such as Fourier, Cosinus, Sinus, and Walsh or Haar.
Prerequisites:
(no information given)
Key reading:
R. Wang Introduction to Orthogonal Transforms with Applications in Data Processing and Analysis. Cambridge University Press. 2012. N. Ahmed, K.R. Rao Orthogonal Transforms for Digital Signal Processing. Springer Verlag, 1975. P. Porwik Wybrane metody cyfrowego przetwarzania sygnałów z przykładami programów w Matlabie. Wyd. Uniwersytetu Śląskiego, 2015.
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 module’s aim is to present data analysis possibilities with different methods based on the signal theory using spectral analysis. Data analysis aims at extracting useful information from the data and deciding based on data distribution. The gained skills will help the students clean, transform, and model data to find helpful information for business and make scientific decisions [M_001]
 K_W01 [1/5] K_W09 [1/5] K_U01 [1/5] K_U02 [1/5] K_U03 [1/5] K_U05 [1/5] K_U09 [1/5] K_K04 [1/5] K_K05 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [W_001]
The aim of the test is to verify learning progress and suggestions for necessary repetitions of the material along with participation in consultations.
 M_001
Development of a computer programme [W_002]
The student presents and discusses the implementation details of the programme, with the help of which they solve the problem of analysing data given in the form of a set of numbers.
 M_001
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]
Classes are conducted in the form of lectures supported with multimedia. The theoretical basis will be discussed on the basis of practical applications. Some lectures will also include discussions with students about alternative solution options.
 15
The student should read the relevant literature materials for each lecture. To better understand the problem, the student should also solve the exercises given in the lectures and consult them with the lecturer.
 45 Test [W_001]
laboratory classes [Z_002]
Matlab will be introduced as a programming method in the laboratory. The student develops computer programmes that can be used to complete tasks discussed in the lectures or tasks indicated by the laboratory teacher. Programming issues will be discussed during laboratory meetings
 30
During individual work, the student should check different versions of the programme code, paying attention to programme optimisation. Different discrete transforms can be programmed in alternative ways, generating different approximations of results. These nuances should be tested in the course of individual work.
 30 Test [W_001] Development of a computer programme [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)