• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Computer Science 7 CS7
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Informatik
Suche öffnen
    • Campo
    • StudOn
    • FAUdir
    • Jobs
    • Map
    • Help
    1. Friedrich-Alexander-Universität
    2. Technische Fakultät
    3. Department Informatik
    Friedrich-Alexander-Universität Computer Science 7 CS7
    Navigation Navigation close
    • CS7
    • Research
    • Publications
    • Teaching
    • Cooperation Partners
    1. Home
    2. Teaching
    3. Introduction to Data Structures and Algorithms (SS 2020)

    Introduction to Data Structures and Algorithms (SS 2020)

    In page navigation: Teaching
    • Teaching events
    • Curriculum
    • Student Theses
    • Examination

    Introduction to Data Structures and Algorithms (SS 2020)

    Lecture

    Dr.-Ing. Ulrich Klehmet

    • Email: ulrich.klehmet@fau.de

    Bild zu Algorithmen und Datenstrukturen

    Details

    Kind of event Lecture (2 SWS)
    ECTS Credits 5
    Language German
    Lecture Block event: From 14.9.2020 to 9.10.2020, 7:00 – 18:00, Room H4 UnivIS

    This course introduces basic data structures and algorithms which are necessary for virtually any programming task. We discuss elementary and structured data types such as lists, stacks, queues, trees and sets and review basic algorithms for searching, sorting, hashing and graph analysis. We study techniques for determining the efficiency of a given algorithm. In the last week we will give an introduction to Java.
      Info to DSA and to script
      To exercises

    Field of studies

      PF CE-MA-OS 1

    Additional information

    Introduction to Data Structures and Algorithms (DSA) UnivIS

    Computer Science 7 (Computer Networks and Communication Systems)
    Friedrich-Alexander-Universität Erlangen-Nürnberg

    Martensstr. 3
    91058 Erlangen
    • Contact
    • Imprint
    • Privacy
    • Accessibility
    • RSS-FEED Colloquium
    • Facebook
    • RSS Feed
    • Twitter
    • Xing
    Up