Data science Field of study: Computer Science
Programme code: W4-S2IN19.2022

Module name: Data science
Module code: W4-IN-S2-20-F-DS
Programme code: W4-S2IN19.2022
Semester:
  • summer semester 2025/2026
  • winter semester 2025/2026
  • summer semester 2024/2025
  • winter semester 2024/2025
  • summer semester 2023/2024
  • winter semester 2023/2024
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
Data Science is a combination of issues related to machine learning, programming, statistics, elements of mathematics, and broadly understood data analysis.
Prerequisites:
No requirements
Key reading:
Defined in the syllabus
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 has advanced knowledge of the most important methods of machine learning and artificial intelligence. [M_001]
 K_W01 [1/5] K_W09 [1/5]
The student has ability to use an advanced mathematical and statistical apparatus for data analysis. [M_002]
 K_U08 [2/5]
She/He has competences and skills to cooperate in an international group. [M_003]
 K_U02 [1/5] K_U07 [2/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [W_001]
Verification of knowledge at the end of the lecture in the form of a test.
 M_001 M_002
Reports [W_002]
Preparation of written reports.
 M_003
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]
Lecture presenting concepts and facts from the scope of program contents which are listed in the module and illustrating them with numerous examples.
 15
Self-study of lectures and literature.
 15 Test [W_001]
laboratory classes [Z_002]
Laboratory, during which students perform exercises with the help of the teacher, which develop the skills listed in the set of learning outcomes of the module.
 30
Self-improvement of skills listed in the set of learning outcomes of the module
 60 Reports [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)