Syllabus for Functional Programming I

Funktionell programmering I

A revised version of the syllabus is available.

Syllabus

  • 5 credits
  • Course code: 1DL330
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2009-03-12
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Spring 2019
  • Entry requirements:

    120 credits with a second course in computer programming. 15 credits in mathematics, including basic algebra. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • list and define the fundamental concepts of functional programming.
  • manually execute a given (simple) functional program.
  • manually infer the type of a given (simple) functional program.
  • implement (simple) algorithms and data structures as functional programs.
  • design (large) functional programs that are modular and have reusable components.
  • explain on a simple problem how functional programming differs from imperative and object-oriented programming.

Content

Fundamental concepts: functions, relations, recursion, tail-recursion, type systems, polymorphism, datatypes, recursive datatypes, introduction to higher-order functions, data abstraction.

Programming in a functional programming language, such as SML.

Similarities and differences with imperative and object-oriented programming.

Instruction

Laboratory work, if required complemented by lectures.

Assessment

Assignments. Voluntary written exam for higher grades.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

Reading list

Applies from: Autumn 2019

Some titles may be available electronically through the University library.

  • Thompson, Simon Haskell : the craft of functional programming

    3. ed.: Harlow: Addison-Wesley, 2011

    Find in the library

  • Lipovača, Miran Learn you a Haskell for great good! : a beginner's guide

    San Francisco, CA: No Starch Press, cop. 2011

    Find in the library

Reading list revisions

Print syllabus and reading list
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