Prof. Dr. Stefan Funke
This lecture takes place twice a week (3 h of lecture and 1 h tutorial) in the following slots:
Day | Time | Location |
---|---|---|
Tuesday | 11:55-13:25 | V38.02 |
Thursday | 09:50-11:20 | V38.02 |
Lecture starts on Tuesday, October 15th. Note the slight shift from the standard slots!
The first MC Test takes place on Tuesday, Dec 17th 12:00-13:00.
The second MC Test takes place on Tuesday, Feb 4th, 12:00-13:00, V38.02
The third MC Test takes place on Thu, Feb 27th, 10:00-11:00 in V38.02 (only if you have passed exactly one of the previous MC Tests).
There will be a Q&A session on Thu, Feb 27th, 11:00-12:00, V38.02, following the MC-test.
The exam takes place March, 5th, 11-13; see the Prüfungsamt for up-to-date information!
We will try to have the exam in the summer turm in September (will be set by the Prüfungsamt)
Lecture notes (in LaTeX, you can add your own notes, but have to ‘TeX’ it afterwards) as of 17.02.2014 (some corrections incorporated).
Fake MC-Test (to be discussed Dec 12th).
Results of the MC-Test ( >=55% were required to pass the test ).
Results of the 2nd MC-Test ( >=55% were required to pass the test – this is
äquivalent to at most 10 wrong answers ).
06.02.2014: Two more candidates passed because the f-question had in fact two correct answers
and these candidates ticked the other correct answers (as discussed in the lecture today).
Results of the 3rd MC-Test (>=55% were required to pass the test )
The additional 4th MC-Test will be on Sept 17th 2014 at 11:00 in V38.04.
The results of the 2nd DO exam from Sept 29th are published on the FMI dashboard (close to room 1.101).
Exclusions for the Exam
In general, all topics covered in class or tutorials are relevant for the exam
with the following exclusions:
- randomized LP rounding for the Set Cover problem
- Primal-Dual algorithm for the Uncapacitated Facility Location problem
- local search algorithm for the Uncapacitated Facility Location problem
Possible topics covered in the course
- Linear Programming
- Simplex algorithm
- Duality
- Linear Programming in fixed dimensions, subexponential Simplex variants
- Network Flow
- MaxFlow/MinCut theorem
- MinCostFlow
- Approximation Algorithms for NP-hard problems
- Knapsack, TSP, Set Cover, Hitting Set, …
- Primal-Dual algorithms
- Greedy and Dual-Fitting
There will be a written exam at the end of the semester (unless your Prüfungsordnung does not allow that; in that case, there will be an oral exam).
Exercises/Tutorials
not available anymore
Literature
A very good book on approximation algorithms by Shmoys and Williamson can be found online.
Intended Audience
Students at the master (INF, SWT, INFOTECH, Winfo, …) or advanced Bachelor level.