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040968 UK Graph Algorithms and Network Flows (MA) (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 12:00
- Registration is open from Tu 26.02.2019 09:00 to We 27.02.2019 12:00
- Deregistration possible until Th 14.03.2019 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The course is slightly blocked which means that from March to May we will do four units in a row (instead of two units), while in June we have no units at all.
Note that the four units on one day will usually take place in two different rooms.
- Tuesday 05.03. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 05.03. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 19.03. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 19.03. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 26.03. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 26.03. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 02.04. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 02.04. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 09.04. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 09.04. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 30.04. 11:30 - 13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 30.04. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 07.05. 11:30 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 14.05. 11:30 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 14.05. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 21.05. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Students collect points with the following actions:
- exercise presentations: students present their solutions to given exercises on the blackboard (max. 10 points)
- topic presentations: students present a selected topic in front of the class (max. 20 points)
- programming exercise: students implement a selected algorithm (max. 20 points)
- written exam: no supporting material allowed (max. 60 points)
- exercise presentations: students present their solutions to given exercises on the blackboard (max. 10 points)
- topic presentations: students present a selected topic in front of the class (max. 20 points)
- programming exercise: students implement a selected algorithm (max. 20 points)
- written exam: no supporting material allowed (max. 60 points)
Minimum requirements and assessment criteria
- Attendance at the lecture / exercise / presentation units is NOT required.
- The grade is determined by the total number of points collected:
1: 89+
2: 76 - 88
3: 63 - 75
4: 50 - 62
5: 0 - 49
- There is NO minimal required number of points for each action.
- The grade is determined by the total number of points collected:
1: 89+
2: 76 - 88
3: 63 - 75
4: 50 - 62
5: 0 - 49
- There is NO minimal required number of points for each action.
Examination topics
For the final written exam you have to know:
- the contents of the lecture slides
- the solutions to the blackboard exercises
- the contents of the lecture slides
- the solutions to the blackboard exercises
Reading list
- T.H. Cormen, C.E. Leiserson, R.L. Rivest, Introduction to Algorithms, MIT Press, 1990
- D. Jungnickel: Graphen, Netzwerke und Algorithmen, BI Wissenschaftsverlag, 3. Auflage, 1994
- J. Bang-Jensen, G. Gutin: Digraphs: Theory, Algorithms and Applications, Springer, 2001
- R.K. Ahuja, T.L. Magnanti, J.B. Orlin, Network Flows: Theory, Algorithms, and Applications, Prentice Hall, 1993
- D. Easley, J. Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press, 2010
- E. Tardos, J. Kleinberg, Algorithm Design, Addison Wesley, 2005
- D. Jungnickel: Graphen, Netzwerke und Algorithmen, BI Wissenschaftsverlag, 3. Auflage, 1994
- J. Bang-Jensen, G. Gutin: Digraphs: Theory, Algorithms and Applications, Springer, 2001
- R.K. Ahuja, T.L. Magnanti, J.B. Orlin, Network Flows: Theory, Algorithms, and Applications, Prentice Hall, 1993
- D. Easley, J. Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press, 2010
- E. Tardos, J. Kleinberg, Algorithm Design, Addison Wesley, 2005
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Graphs are used to model these networks in an abstract way and allow to efficiently solve problems on networks by using standardized graph algorithms.
In detail we discuss:
- matchings (stable marriage problem)
- computational complexity
- graph connectivity and search algorithms
- maximum flows
Furthermore, we consider tools and algorithms for (social) network analysis:
- community detection
- partitioning and clustering
- strong and weak ties
- positive and negative relationshipsThe goals of this course are to:
- understand the fundamental concepts of networks
- understand basic graph algorithms
- be able to apply algorithms to network based problems
- be able to analyze networks based on different measuresThe methods for knowledge transfer and gain are:
- lectures
- student presentations of selected topics
- joint discussions of exercises and according solutions
- practical implementation of algorithms