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Parallel Functional Programming

Course
Master’s level
7,5 credits (ECTS)
Study pace
50%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application open
-
Application code
GU-28660
Tuition
Full education cost: 17 875 SEK
First payment: 17 875 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed

About

The course introduces the principles and practice of parallel programming in a functional programming language.

In this course, the term parallel programming means using multiple hardware cores or processors in order to gain speed. Functional programming is one of the most promising approaches to the problem of how to program in parallel, as the computers around us inevitably become more and more parallel.
The course covers approaches to parallel functional programming in both Haskell and Erlang. It covers current research on these topics, and relies heavily on scientific papers as its source materials. However, we stress that the emphasis in the course is practical, rather than theoretical. Several of the lectures are given by leading external experts from both academia and industry.

Prerequisites and selection

Requirements

Successfully completed two years within the subject Computer Science or equivalent. The course participants must have completed an introductory course in Funtional Programming, preferably using Haskell or Erlang (examples at GU are DIT440 Introduction to Functional Programming and DIT142 Functional Programming). Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School 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.

For admission to the summer 2021 and onward the following selection applies: selection is based upon the number of credits from previous university studies, maximum 285 credits.