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CS 310 — Declarative Programming
(dt. Deklarative Programmierung)

Level, degree of commitment Basic module, compulsory elective module
Forms of teaching and learning,
workload
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Written examination
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency
One semester,
each summer semester
Person in charge of the module's outline Prof. Dr. Christoph Bockisch

Contents

Introduction to Declarative Programming:

  • Basic Concepts,
  • Programming Methodology,
  • Formal foundations (i.e. reduction semantics/reduction strategies),
  • Algebraic Data Structures,
  • Pattern Matching,
  • Polymorphic type systems,
  • Type Inference,
  • Higher order functions,
  • Interactive input/output,
  • Proof of program properties (equational reasoning, induction techniques),
  • Lambda calculus

Qualification Goals

Students will

  • know a declarative programming language,
  • can recognize and apply abstraction in program development,
  • can distinguish between different programming paradigms and their areas of application,
  • have knowledge of testing and verification of programs,
  • know the mathematical basics of declarative programming,
  • are able to follow scientific working methods (recognizing, formulating, solving problems, training the ability of abstraction),
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.

Prerequisites

None.


Applicability

Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Mathematics
  • B.Sc. Business Mathematics
  • M.Sc. Mathematics
  • BA Minor Computer Science

When studying B.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • M. Felleisen, R. B. Findler, M. Flatt, S. Krishnamurthi: How to Design Programs, Second Edition, MIT Press 2014
  • L.Sterling, E.Shapiro: The Art of Prolog, MIT Press 1994
  • Weitere Literatur wird in der Veranstaltung bekanntgegeben.



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.