Lecturers:
Teaching Assistants:
Classification: Master Data Science
Credits: 10
Exam: oral
Regular Dates:
Rooms will be announced soon.
This module is provided by the Institute for Information Systems (IfIS), the Institute of Software Engineering and Automotive Informatics (ISF), the Institute for Application Security (IAS), and the Reliable System Software group of the Institute of Operating Systems and Computer Networks (IBR-VSS).
Participation and Examination
The audience of this course are Data Science master students with a BSc in mathematics (or a comparable topic). Data Science students with a BSc in computer science should refer to the corresponding ramp up course in mathematics!
The module is concluded by an oral exam. More information on the exam will follow at the end of the semester. In general, if you have any organizational questions, please contact Florian Plötzky.
Lecture Modes
Note that this course starts after the joint ramp up period (i.e., on April 14). All exercises of the course are live events, the lectures are either live or on-demand.
Course Material
We will publish all slides, exercises, and videos exclusively in Stud.IP.
You will automatically be enrolled for this course in Stud.IP if you are eligible. If you are not assigned until April 10 please contact Florian Plötzky.
Summary
After successful completion of this module, students have a basic understanding of the underlying concepts of computer science that are necessary for data science.
They are able to