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Data structures and algorithms 7.5 Credits

Datastrukturer och algoritmer
First cycle, D0041D
Course syllabus valid: Spring 2016 Sp 3 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by LTU Skellefteå 19 Nov 2008

Last revised
by Jonny Johansson, HUL SRT 06 Nov 2015

Education level
First cycle
Grade scale
G U 3 4 5
Computer Science
Subject group (SCB)
Computer Technology

Entry requirements

In order to meet the general entry requirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language

More information about English language requirements


The selection is based on 1-165 credits.

Course Aim
After the course, the student
  1. has knowledge about a) the scientific foundation for developing and analysing algorithms and data structures that accurately and efficiently solve different problems and b) the proven experience programmers in  this field of Computer Science;
  2. can create, analyse and critically evaluate various technical solutions for evaluating computer software in situations when they become so complex that they are not transparent;
  3. can plan and use appropriate methods to undertake advanced programming tasks within predetermined parameters.

This course provides skills in algorithmic problem solving. The course includes algorithms and data structures, especially for searching and sorting of large data sets and graphical problems. Queues, stacks, lists, priority queues, trees and search trees, graphs, sets, and tables and recurrence equations, efficiency analysis and upper limits. Analysis of asymptotic time and memory complexity for algorithms.

Lectures and laboratory work carried out in a computer lab, mostly individual tasks but group tasks may occur. During the course there could occur homework assignments that render bonus points on the written exam that follows directly after the course has been given. In the practical lab work we use an object oriented programming language (usually C++).

Examination consists of a final written exam and mandatory programming assignments during the course:
  1. Final written exam. Individual lab assignments;
  2. Final written exam. Individual lab assignments;
  3. Lab assignments.

Robert Brännström

Literature. Valid from Spring 2016 Sp 3 (May change until 10 weeks before course start)
Mark A. Weiss: Data Structures & Algorithm Analysis in C++, 4th Edition, Pearson, 2013. ISBN-10: 013284737X, ISBN-13: 978-0132847377

Course offered by
Department of Computer Science, Electrical and Space Engineering

0001Written exam4.5G U 3 4 5
0002Laboratory work3.0U G#

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.