inf1202 - Advanced Practical Course ‘Data Science’ (Complete module description)

Module label	Advanced Practical Course ‘Data Science’
Module code	inf1202
Credit points	6.0 KP
Workload	180 h
Institute directory	Department of Computing Science
Applicability of the module	Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik Master's Programme Computing Science (Master) > Praktische Informatik
Responsible persons	Wingerath, Wolfram (module responsibility) Lehrenden, Die im Modul (authorised to take exams)
Prerequisites	Basics of Databases, Basics of Data Science
Skills to be acquired in this module	The goals of this module are to acquire practical knowledge of data science and to relate it to questions from a concrete application domain. Furthermore, the students gain a sustainable insight into the technicalrealization, implementation, and content classification of data analysis processes and their results. Professional competences The students have knowledge of technical implementation and programming of data analysis processes pragram and implement processes in the context of data analysis (such as for automation or data cleaning). Methological competences The students propose concrete processing principles for specific questions reflect on certain technologies and procedures with regard to their effects on the results of data analyses Social competences The students generate approaches for data analysis in a team Self competences The students recognize their resilience in implementation and recognize errorsresults reflect on their actions
Module contents	This module is primarily designed as a practical continuation of the module Data Science I. It deepens the content covered there through practical application in a concrete problem area. The module focuses on: design of analyses to answer concrete questions from the given problem area development (and cleaning) of relevant data sources selection and application of appropriate concepts and techniques in conducting analyses Interpretation and presentation of results
Recommended reading	See description of the assigned course
Links
Languages of instruction	German, English
Duration (semesters)	1 Semester
Module frequency	annual
Module capacity	unlimited
Teaching/Learning method	P

Examination	Prüfungszeiten	Type of examination
Final exam of module	at the end of the lecture period or by arrangement with the instructor.	Portfolio or project or practical work or specialized practical exercises and oral examination

Type of course	Practical training
SWS	4
Frequency	SuSe or WiSe
Workload attendance time	56 h