inf1206 - Hot topics from the field of ‘Data Science’ I (Complete module description)

Module label	Hot topics from the field of ‘Data Science’ I
Module code	inf1206
Credit points	3.0 KP
Workload	90 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	No participant requirements
Skills to be acquired in this module	The module aims to integrate current developments in the specialization area of "Data Science" into the course of study in the appropriate course forms Professional competences The students differentiate and contrast in more detail a subfield of the field of data science in which they have specialized or reflect on computer science in generall recognize and evaluate the techniques and methods to be used in their area of specialization and their limitations identify, structure, and solve problems also in new or emerging areas of their discipline apply state-of-the-art and innovative methods in investigating and solving problems, drawing on other disciplines as appropriate recognize the limits of current knowledge and technology and contribute to the further scientific and technological development of computer science discuss current developments in computer science and assess their significance Methological competences The students investigate problems using technical and scientific literature write an article according to scientific principles and present their results in a scientific talk reflect on problems, including those in new or emerging areas of their discipline, and apply computer science methods to investigate and solve them plan time schedules and other resources Social competences The students communicate persuasively orally and in writing with users and professionals Self competences The students critically follow further developments in computer science in general and in their special field develop and reflect on their own theories in relation to independently formulated hypotheses
Module contents	See description of the assigned course
Recommended reading	Will be announced in the course
Links
Languages of instruction	German, English
Duration (semesters)	1 Semester
Module frequency	irregular
Module capacity	unlimited
Teaching/Learning method	V oder S

Examination	Prüfungszeiten	Type of examination
Final exam of module	At the end of the lecture period or by arrangement with the instructor	Presentation or oral exam

Type of course	Course or seminar
SWS	2
Frequency	see frequency of module offering
Workload attendance time	28 h