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.


Course description for study year 2024-2025

Facts

Course code

DAT600

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

Offered by
Time table

View course schedule

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

Required prerequisite knowledge

None

Recommended prerequisites

DAT200 Algorithms and Datastructures

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

Written exam with pen and paper.

Coursework requirements

Compulsory assignments
4 compulsory assignments.

Course teacher(s)

Course coordinator:

Nejm Saadallah

Head of Department:

Tom Ryen

Method of work

4 hours lectures and 2 hours exercises.

Overlapping courses

Course Reduction (SP)
Algorithm Theory (MID290_1) 10

Open for

Computer Science - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Course assessment

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 subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

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