course: Computer Science 2 - Algorithms and Datastructures
- teaching methods:
- lecture with integrated lab excercises
- Videoübertragung, internet, Moodle
- responsible person:
- Prof. Dr.-Ing. Tim Güneysu
- Prof. Dr.-Ing. Tim Güneysu (ETIT), B. Sc. Markus Krausz (ETIT)
- offered in:
- summer term
dates in summer term
- start: Tuesday the 13.04.2021
- lecture Tuesdays: from 14:15 to 15.45 o'clock
- tutorial Thursdays: from 12:15 to 13.45 o'clock
- Helpdesk (alternativ) Tuesdays: from 12:15 to 13.45 o'clock
- Helpdesk (alternativ) Fridays: from 10:15 to 11.45 o'clock
All statements pertaining to examination modalities (for the summer/winter term of 2020) are given with reservations. Changes due to new requirements from the university will be announced as soon as possible.
|Form of exam:||written|
|Registration for exam:||FlexNow|
|description of exam:|
Termin findet wie geplant statt
|Rooms :||HMA 10, HNB , HNC 20|
|Individual appointments of students to each exam location will be issued by the responsible chair.|
Participants will be provided with a systematic overview of principles, methods, concepts and notations of different algorithms and data structures. This knowledge, combined with hands-on exercises on the computer will enable students to develop, analyze and validate efficient programs and to translate, translate and execute them in the C++ programming language.
The lecture consists of four separate teaching units: The first block discusses basic concepts on the comparison and evaluation of algorithms. The second block introduces classical sorting algorithms (such as insertion sort, mergesort and quicksort). Classic search algorithms such as binary search or tree structures are presented in the third block. The last block provides an overview of graph algorithms and operations on strings. The lecture will be accompanied by exercises.
The lecture is based on the book "Algorithms and Data Structures - The Basic Toolbox" by Mehlhorn and Sanders (see http://www.springer.com/en/book/9783540779773).
Contents of Lecture "Computer Science I"
All materials are available via the Moodle Leaning Platform at https://moodle.ruhr-uni-bochum.de