Lecturers:
Teaching Assistants:
Classification: Master Data Science
Credits: 10
Exam: oral
Regular Dates:
Rooms will be announced by the lecturers/TAs before the respective part starts.
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 Dr. Florian Plötzky.
Lecture Modes
Note that this course starts after the joint ramp up period (i.e., on October 27). 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. If you are eligible for this course you should have been enrolled in the Stud.IP course automatically. If you are not enrolled in Stud.IP but think that you are eligible, please contact Dr. Plötzky as soon as possible.
Please find more information concerning the registration later on this page.
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