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CS 110 — Object-oriented Programming
(dt. Objektorientierte Programmierung)

Level, degree of commitment Basic module, required 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 winter semester
Person in charge of the module's outline Prof. Dr. Christoph Bockisch, Prof. Dr. Bernhard Seeger

Contents

  • Algorithms and control structures
  • Programming language description and extension
  • Objects and Classes
  • Inheritance and polymorphism
  • Recursion and inductive data ranges
  • Interfaces and abstract classes
  • IO and exceptions
  • Assertions and invariants
  • Program verification bythe Hoare calculus
  • GUI programming, human-machine interaction

Qualification Goals

The students

  • know an object-oriented programming language,
  • know techniques and tools for program development,
  • have knowledge of imperative, object-oriented, and recursive programming,
  • have knowledge in testing and verification of programs,
  • know basics of human-machine interaction,
  • 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 Informatics
  • B.Sc. Business Mathematics
  • M.Sc. Mathematics
  • LAaG Computer Science
  • BA Minor Computer Science

When studying B.Sc. Data Science, this module must be completed in the study area Basic Modules in Computer Science.


Recommended Reading

  • H.P. Gumm, M. Sommer: Einführung in die Informatik, 10. Aufl. Oldenbourg Verlag, 2009
  • Walter J. Savitch: Absolute Java, 4. Auflage; PrenticeHall 2009
  • Y.D.Liang: Introduction to Java Programming. Prentice Hall, 2009
  • M.Odersky, L.Spoon, B.Venners: Programming in Scala. Artima, 2009.



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.