Course
Algorithm Theory (DAT600)
This course is about algorithm theory and complexity theory, which includes the following topics: Graphs and graph algorithms, greedy algorithms, dynamic programming, linear programming, and NP-completeness.
Dette er emnebeskrivelsen for studieåret 2016-2017
Semesters
Fakta
Emnekode
DAT600
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Content
Introduction to algorithm theory and complexity theory; Sorting and order statistics, datastructures , advanced design and analysis techniques, graphs and graph algorithms, multithreaded algorithms, NP-completeness.
Learning outcome
After completing this course the student should be able to:
- Understand what algorithms and datastructures mean for developing lage and complex information systems
- Create efficient algorithms, in terms of time, and resource like memory
- Choose and apply different types of algorithms depending on what the information systems demand
- Choose the optimal algorithms among many competing ones
Forkunnskapskrav
Ingen
Exam
| Form of assessment | Weight | Duration | Marks | Aid | Exam system | Withdrawal deadline | Exam date |
|---|---|---|---|---|---|---|---|
| Written exam | 1/1 | 4 Hours | Letter grades | No printed or written materials are allowed. Approved basic calculator allowed | Inspera assessment | — | — |
Vilkår for å gå opp til eksamen/vurdering
Compulsory assignments
4 compulsory assignments.
Fagperson(er)
Course coordinator:
Nejm SaadallahHead of Department:
Tom RyenMethod of work
4 hours lectures and 2 hours exercises.
Åpent for
Master studies at the Faculty of Science and Technology
PhD studies at the Faculty of Science and Technology
Emneevaluering
Through forms for student evaluation and/or discussions with the students, following the standard guidelines.
Litteratur
Cormen et al, "Introduction to Algorithms", MIT Press, 2009
(about 500 pages)
Additional notes (about 100 side)
The course description is retrieved from FS (Felles studentsystem). Version 1
