Script languages in data analysis Field of study: Computer Science
Programme code: W4-N2IN19.2020

Module name: Script languages in data analysis
Module code: W4-IN-N2-20-F-JSwAD
Programme code: W4-N2IN19.2020
Semester:
  • winter semester 2022/2023
  • summer semester 2021/2022
  • winter semester 2021/2022
  • summer semester 2020/2021
Language of instruction: Polish
Form of verification: course work
ECTS credits: 4
Description:
The aim of the module is to introduce students with the possibilities of advanced data analysis with elements of automation using scripting languages such as Python or R.
Prerequisites:
(no information given)
Key reading:
1. John M. Quick, Statistical Analysis with R, Packt Publishing 2. Michael Dawson, Python Programming for the Absolute Beginner, 3. Wes McKinney, Python for Data Analysis, O'relly 4. Norman Matloff, The Art of R Programming: A Tour of Statistical Software Design
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 about the use and implementation of algorithms. [M_001]
 K_W02 [1/5] K_W04 [1/5]
Has knowledge of how to analyse data, about the algorithms used in data analysis and how to interpret the results. [M_002]
 K_W04 [1/5] K_W09 [1/5]
Is able to select and implement the appropriate algorithm for data analysis. [M_003]
 K_U08 [1/5] K_U09 [1/5] K_U10 [1/5]
Is able to interpret the result of data analysis and present the results of data analysis motivate the techniques used [M_004]
 K_U03 [2/5] K_U04 [2/5] K_U10 [1/5]
Is able to develop a scheme of data handling, aimed at their correct analysis. [M_005]
 K_U01 [1/5] K_U02 [1/5] K_U03 [1/5]
Is able to implement an automated data analysis system, working individually or in a team. [M_006]
 K_U02 [2/5] K_U09 [1/5] K_U10 [3/5]
Is aware of the impact of algorithms on the results of data analysis [M_007]
 K_K01 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Reports [W_001]
Preparation of written reports, their completion within a specified period as a verification of skills acquired during problem solving.
 M_001 M_002 M_003 M_004 M_007
Project [W_002]
Development of an individual or group project with documentation of the data analysis system.
 M_001 M_002 M_003 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]
Lectures conducted using multimedia tools, discussing issues related to the analysis and automation of data analysis in scripting languages.
 15
Preparation for laboratories and passing the lecture.
 20 Project [W_002]
laboratory classes [Z_002]
Preparing students to perform lab exercises. Practical presentation of issues discussed during lectures.
 30
Preparation for laboratory exercises. Self-solving laboratory exercises. Preparation of the final project.
 55 Reports [W_001] Project [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)