t.BA.DS.ADS.20HS (Algorithms and Data Structures) 
Module: Algorithms and Data Structures
This information was generated on: 29 November 2022
No.
t.BA.DS.ADS.20HS
Title
Algorithms and Data Structures
Organised by
T CAI
Credits
4

Description

Version: 3.0 start 01 August 2021

Short description

 Students cover basic algorithms and data structures of computer science. They learn to solve algorithmically complex tasks, know the central data structures of computer science and how they are implemented in Python, and can estimate the computational effort of programs and apply basic design patterns.

Module coordinator

 Stadelmann Thilo (stdm)

Learning objectives (competencies)
Ziel Kompetenzen Taxonomiestufen
The students know the central algorithms and data structures of computer science. F K1
Students know basic design patterns for designing new algorithms and can apply them to simple problems. F, M K1, K3
Students can estimate the computational effort of simple algorithms. F, M K3
Students can implement and use algorithms and data structures in Python. F K3

Module contents

 General concepts
  • Asymptotic complexity (O-notation)
  • Analysis of algorithms (runtime and storage space)
Algorithm Paradigms
  • Recursion
  • Backtracking
  • Greedy algorithms
  • Divide and Conquer
Data Structures
  • Stack and Queue
  • List
  • Hash table
  • Tree
  • Graph
Algorithms
  • Search
  • Tree traversal
  • Rotation in balanced search trees
  • Hashing
  • Shortest paths in graphs
  • Width and depth first search in graphs
  • Minimum spanning trees
  • Sorting
  • Runtime requirements and lower bounds

Teaching materials
  • Slides
  • Practicals and accompanying material (in electr. form)

Supplementary literature
  • Sedgewick/Wayne: "Algorithmen: Algorithmen und Datenstrukturen"
    4. aktualisierte Auflage 2014, Pearson Education, ISBN: 978-3-86894-184-5 (also available in English)
  • Further documents will be made available as required.

Prerequisites
  • PROG1, PROG2: Programming in Python

Teaching language

 (X) German ( ) English

Part of International Profile

 ( ) Yes (X) No

Module structure

 Type 3a
  For more details please click on this link: T_CL_Modulauspraegungen_SM2025

Exams
Description Type Form Scope Grade Weighting
Graded assignments during teaching semester Labs and learning controls written and computerized 14 Weeks Grading 30%
End-of-semester exam Examination verbally 20 Minutes Grading 70%

Remarks

  

Legal basis

 The module description is part of the legal basis in addition to the general academic regulations. It is binding. During the first week of the semester a written and communicated supplement can specify the module description in more detail.

Note

Course: Algorithmen und Datenstrukturen - Praktikum
No.
t.BA.DS.ADS.20HS.P
Title
Algorithmen und Datenstrukturen - Praktikum

Note

  • No module description is available in the system for the cut-off date of 02 August 2099.
Course: Algorithmen und Datenstrukturen - Vorlesung
No.
t.BA.DS.ADS.20HS.V
Title
Algorithmen und Datenstrukturen - Vorlesung

Note

  • No module description is available in the system for the cut-off date of 02 August 2099.