052100 VU Algorithms and Data Structures 2 (2019S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 11.02.2019 09:00 to We 20.02.2019 23:59
- Deregistration possible until Su 17.03.2019 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
04.03.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
11.03.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
18.03.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
25.03.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
01.04.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
08.04.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
29.04.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
06.05.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
13.05.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
20.05.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
27.05.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
03.06.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
17.06.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Monday
24.06.
09:45 - 11:15
Hörsaal 2, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
There will be two exams as well as 1-2 presentations of solutions to homework problems at the white board (there will be 4 homework sheets in total).
Each exam gives 30 pts, each board presentation gives up 10 pts in total.
The exams are closed-book, no notes. For the board presentations you can use your notes.
Attendance is required (except for 3 classes which you can miss without giving a reason).
Each exam gives 30 pts, each board presentation gives up 10 pts in total.
The exams are closed-book, no notes. For the board presentations you can use your notes.
Attendance is required (except for 3 classes which you can miss without giving a reason).
Minimum requirements and assessment criteria
percentage of points grade
>= 89% 1
>= 76% 2
>= 63% 3
>= 50% 4
< 50% 5
>= 89% 1
>= 76% 2
>= 63% 3
>= 50% 4
< 50% 5
Examination topics
Everything covered in the lectures, the homework problems, the slides, and the reading material
Reading list
Will be provided on Moodle.
Association in the course directory
Module: CNA
Last modified: Mo 07.09.2020 15:30
Fundamental Data Structures and Algorithms (Tabulation hashing; Pattern matching and string/text algorithms)
Advanced Data Structures, Algorithms and Analysis (String-based data structures and algorithms (e.g. suffix trees), network flows, geometric algorithms (e.g. geometric search/proximity, convex hull), randomized algorithms)