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This entry is from Winter semester 2021/22 and might be obsolete. You can find a current equivalent here.

CS 210L — Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers
(dt. Algorithmen und Datenstrukturen für Lehramt an Gymnasien-Studierende)

Level, degree of commitment Basic module, depends on importing study program
Forms of teaching and learning,
Lecture (4 SWS), recitation classen and seminar (2 SWS),
270 hours (attendance in den Lehrveranstaltungen 90 h, preparation and follow-up inklusive Studienleistungen 150 h, Vorbereitung and Ablegen von Prüfungsleistungen 30 h)
Credit points,
formal requirements
9 CP
Course requirement(s): 1) Exercises and at least 1-3 presentations of individual exercises 2) Presentation, approx. 30 min. in the seminar on school-related topics of the lecture with regard to the implementation in the upper secondary school. The successful completion of at least 40% of the exercises is a prerequisite for admission to the module examination.
Examination type: Written examination (120 min.)
The grading is done with 0 to 15 points according to the examination regulations for the degree program LAaG Computer Science. In the event of failure, a total of 4 attempts are available for the examination.
Origin LAaG Computer Science
One semester,
each summer semester
Person in charge of the module's outline Prof. Dr. Christian Komusiewicz, Prof. Dr. Bernhard Seeger


  • Analysis of algorithms and data structures: design principles, complexity, asymptotic analysis
  • Elementary data structures: lists, stacks, queues, sets, trees, maps, strings, graphs
  • Elementary algorithms: searching, sorting, insertion, removal, transformation, and traversal
  • Implementation variants: balanced search trees, hash sets, Huffman codes
  • Polymorphic (generic) data structures: containers and iterators
  • Advanced programming techniques, e.g. thread programming, Design Patterns
  • Didactic preparation of the material for school lessons

Qualification Goals


  • Mastery of scientific working methods (recognition, formulation, problem solving, abstraction),
  • oral communication skills, ability to speak freely in front of an audience and during a discussion,
  • Didactic preparation of teaching material.

Qualification goals:

  • Design of algorithms and data structures,
  • Analysis and cost estimation,
  • Abstraction techniques,
  • Deepening of programming knowledge,
  • Knowledge in analysis, design and implementation of software,
  • Classification of different concepts and assessment of their possible use in school teaching.


None. The competences taught in the following module are recommended: Object-oriented Programming.


The module can be attended at FB12 in study program(s)

  • LAaG Computer Science

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

Recommended Reading

(not specified)

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2021/22. 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.