Data Structures and Algorithms
About
Data structures and algorithms are fundamental building blocks in almost all software products. Knowledge and skills in data abstraction, data structures, and algorithms are important in the construction, use, and maintenance of adaptable, reusable, correct, and efficient program components.
The course gives knowledge and skills in the construction and use of algorithms and data structures, an introduction to various techniques for the analysis of algorithms, and insights in the advantages of using data abstraction in program development.
Prerequisites and selection
Entry requirements
To be eligible for this course, students must have successfully completed 7.5 higher education credits in object oriented programming (for example DIT042 Object-Oriented Programming, 7.5 hec) and successfully completed 7.5 hec on basic mathematical concepts such as sets, functions, relations, graphs, logarithms and proof by induction (for example DIT022 Mathematical Foundations for Software Engineering, 7.5 hec).
Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
