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 Peter L. Reichertz Institute for Medical Informatics (PLRI), the Institute for Application Security (IAS) and the Connected and Mobile Systems group of the Institute of Operating Systems and Computer Networks (IBR-CM).
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 joint ramp up period (i.e., on April 15). All exercises of the course are live events, the lectures are either live or on-demand.
Course Material
This semester we will publish all slides, exercises, and videos exclusively in Stud.IP. If you are eligible for this course you are automatically assigned it in Stud.IP. If you are eligble but have not been 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