IB015 Non-Imperative Programming

Faculty of Informatics
Autumn 2017
Extent and Intensity
2/2/0. 4 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
prof. RNDr. Jiří Barnat, Ph.D. (lecturer)
Mgr. Matúš Bezek (seminar tutor)
Bc. David Alexander Bielik (seminar tutor)
RNDr. Martin Jonáš, Ph.D. (seminar tutor)
Mgr. Juraj Major (seminar tutor)
Mgr. Adam Matoušek (seminar tutor)
Samuel Melkovič (seminar tutor)
RNDr. Jan Mrázek (seminar tutor)
Mgr. Ondřej Slámečka (seminar tutor)
Mgr. Tomáš Szaniszlo (seminar tutor)
Bc. et Bc. Martin Zahradníček (seminar tutor)
Mgr. Lukáš Másilko (assistant)
RNDr. Vladimír Štill, Ph.D. (assistant)
RNDr. Martin Ukrop (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science - Faculty of Informatics
Contact Person: prof. RNDr. Jiří Barnat, Ph.D.
Supplier department: Department of Computer Science - Faculty of Informatics
Tue 12:00–13:50 D1
  • Timetable of Seminar Groups:
IB015/01: Thu 12:00–13:50 B130, A. Matoušek, M. Zahradníček
IB015/02: Tue 18:00–19:50 B130, A. Matoušek, M. Zahradníček
IB015/03: Thu 10:00–11:50 B130, O. Slámečka, T. Szaniszlo
IB015/04: Wed 14:00–15:50 B130, J. Major, T. Szaniszlo
IB015/05: Wed 16:00–17:50 B130, M. Bezek, J. Mrázek
IB015/06: Thu 18:00–19:50 B130, M. Jonáš, J. Mrázek
IB015/07: Thu 16:00–17:50 B130, M. Bezek, S. Melkovič
IB015/08: Thu 14:00–15:50 B130, D. Bielik
There are no special prerequisities apart from the basic math skills (on the secondary-school level), and certain aptitude for abstract reasoning.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 17 fields of study the course is directly associated with, display
Course objectives
On successful completion of the course, students will understand functional and logic programming paradigms. Programming languages enforcing declarative way of description of an algorithm bring on programming habits that the students will be able to use in practice later on when implementing large applications using even imperative languages.
Learning outcomes
After graduation students will: - understand fundaments of functional programming, - be able to decompose computational problems to individual functions and apply this ability for design and implementation of programs even in imperative programming languages, - have basic knowledge of Haskell programming language - be able to design and implement recursive functions, - be able to work with recursively defined data structures.
  • Functional computational paradigm and Haskell
  •   Functions in programming;
  •   Lists, Types and Recursion
  •   Functions of higher rank, Lambda functions
  •   Accumulators, Type definitions, Input/Output
  •   Reduction strategy, Infinite lists
  •   Relation of recursion and induction, Recursive data types
  •   Time complexity of computation, Type classes, Modules
  •   Functional solutions od some problems
  • Logical computational paradigm and Prolog
  •   Non-imperative programming in Prologu
  •   Lists, Arithmetics, Tail rekursion in Prologu
  •   Cuts, Input-Output, All solutions
  •   An Introduction to Constraint Solving Programming
  • THOMPSON, Simon. Haskell :the craft of functional programming. Harlow: Addison-Wesley, 1996. xx, 500 s. ISBN 0-201-40357-9. info
  • LIPOVAČA, Miran. Learn You a Haskell for Great Good!: A Beginner's Guide. First Edition. San Francisco, CA, USA: No Starch Press, 2011. 400 pp. ISBN 978-1-59327-283-8. URL info
  • BLACKBURN, Patrick and Johan BOS. Learn Prolog Now! London: College Publications, 2016. Texts in Computing, volume 7. ISBN 1-904987-17-6. URL info
Teaching methods
The course is organized as a series of lectures and homeworks, plus a set of voluntary exercises, where the students get practice with solving various problems.
Assessment methods
The evaluation consists of a final written test that have two parts, obligatory and voluntary. To complete successfully with "E", the student have to pass the obligatory part of the final test and collect some minimal amount of points from the homeworks. The final grade can be further improved by additional points from the homeworks and selected exercises during practicals.
Language of instruction
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (Autumn 2017, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2017/IB015