Lehre » Sommer 20 » Kombinatorische Graphentheorie

Bridge Course Algorithms and Data Structures (SS 20)

A blended learning bridge course for master students in Data Science

This course is intended for Data Science students with little background in computer science, in particular for students with a bachelor's degree in Mathematics, Physics or Electrical Engineering.


At the end of the term, there will be a written exam of 90 minutes.

Recommended exercises

On top of the [problems and exercises] posed at the MIT page, we also recommend the following exercises and problems from the book by Cormen et al (2nd edition). Exercises are shown in black, and problems (listed in the final section of every chapter) are shown in red color.


The course is self paced and consists of 12 [video lectures] from MIT Open CourseWare.
The [course material] has been developed by Prof Charles Leiserson and Prof Erik Demaine.


The underlying text book is "Introduction to Algorithms" by Thomas H. Cormen, Charles E. Leiserson, Ronald Rivest, and Clifford Stein.