Course

Algorithm Theory (DAT600)

Facts

Course code DAT600

Credits (ECTS) 10

Semester tution start Spring

Language of instruction English

Number of semesters 1

Exam semester Spring

Time table View course schedule

Literature Search for literature in Leganto

Introduction

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

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.

Required prerequisite knowledge

None

Recommended prerequisites

Algorithms and Datastructures (DAT200)

Exam

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid No printed or written materials are allowed. Approved basic calculator allowed

Digital exam.

Coursework requirements

Compulsory assignments
4 compulsory assignments.

Method of work

4 hours lectures and 2 hours exercises.

Open for

Admission to Single Courses at Master Level at the Faculty of Science and Technology
Computer Science
Exchange programme at The Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Contact

Course coordinator:
Nejm Saadallah
Head of Department:
Tom Ryen

Offered by

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

The course description is retrieved from FS (Felles studentsystem). Version 1