[ 526GLWNADAU14 ] UE Algorithms and Data Structures

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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Business Informatics Wolfgang Narzt 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Erwartete Vorkenntnisse: Modul Einführung in die Softwareentwicklung
Original study plan Bachelor's programme Business Informatics 2022W
Objectives See Algorithmen und Datenstrukturen
Subject See Algorithmen und Datenstrukturen
Criteria for evaluation Correctness and quality of the solutions of the exercises, active participation during lectures, ability to solve exercises independently
Methods The exercises serve as an in-depth study of the topics discussed in the lecture and focus on the applicability of the gained knowledge. Normally, 9 exercises will be handed out. For selected topics additional exercises will be conducted. In addition, students are given the opportunity to reflect on topics from the lecture and discuss problems with the lecturer. Pre-assessment is done by tutors, the final assessment is done by the lecturers.
Language German
Study material Recommended reading:

  • Pomberger, G.; Dobler, H.: Algorithmen und Datenstrukturen: Eine systematische Einführung in die Programmierung. Pearson Verlag, München, 2008.

Further reading:

  • Cormen, T. H.; Leiserson, C. E.; Rivest, R. L.: Introduction to Algorithms. The MIT Press, Cambridge, current edition.
  • Sedgewick, R.: Algorithmen in Java. Pearson Verlag, München, current edition.
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
1WBWADU: UE Algorithms and Data Structures (2002W-2014S)
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority