Course
Algorithm Theory (DAT600)
The course gives insight into theory of algorithms and their performance. It includes a mathematical foundation for analysing the correctness of algorithms and for assessing their running time. The course introduces common computational problems and various techniques for solving them. The course also introduces the problem P=NP
Dette er emnebeskrivelsen for studieåret 2025-2026
Fakta
Emnekode
DAT600
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Litteratur
Content
The course revisits some mathematical notions such as growth of functions, standard notations for time complexity, some proof techniques, and other foundations from previous math classes. During the course we will visit problems such as sorting, traversal of trees, graphs and their applications, and matrix multiplication. We will develop solutions to these problems by applying algorithm design methods like divide and conquer, dynamic and greedy algorithms, and optimisation problems.
Learning outcome
After completing this course the student should be able to:
- Be familiar with important principles for designing advanced algorithms and assessing their performance.
- Be familiar with important problems and algorithms that solve them.
- Can choose and apply different types of algorithms depending on what the information systems demand.
- Be familiar with the classes of problems P, NP, NP-Hard, NP-Complete.
- Can transform a problem to an optimisation problem and practically solve it using optimisation software packages.
Forkunnskapskrav
Ingen
Anbefalte forkunnskaper
Algorithms and Datastructures (DAT200)
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Written exam | 1/1 | 4 Hours | Letter grades | No printed or written materials are allowed. Approved basic calculator allowed |
Digital exam.
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
Admission to Single Courses at the Faculty of Science and Technology
Computer Science - Master of Science Degree Programme
Industrial Automation and Signal Processing - Master's Degree Programme - 5 year
Exchange programme at Faculty of Science and Technology
Emneevaluering
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1
