Algorithmik

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.03023
    Languages German
    Type of lesson Lecture
    Level Bachelor
    Semester SA-2019

    Title

    French Algorithmique
    German Algorithmik
    English Algorithmics

    Schedules and rooms

    Summary schedule Thursday 13:15 - 17:00, Hebdomadaire (Autumn semester)
    Struct. of the schedule 2 x 2 Std. pro Woche während 14 Wochen
    Contact's hours
    		56

    Teaching

    Responsibles
    • Ries Bernard
    Teachers
    • Bürgy Reinhard
    Assistants
    • Degiacomi Fabio
    Description

    In dieser Vorlesung werden zentrale Entwurfsmuster für Algorithmen, klassische algorithmische Probleme und Lösungsansätze, sowie elementare wie auch komplexere Datenstrukturen behandelt.

    Entwurfsmuster beschreiben generelle Vorgehensweisen für die Entwicklung von Algorithmen. Wir betrachten insbesondere Rekursions- und Induktionsverfahren, Divide-and-Conquer, Backtracking und dynamische Programmierung.

    Eine Menge von algorithmischen Problemen hat sich über die Jahre als Standardelemente der Informatik etabliert und elegante Datenstrukturen und Algorithmen wurden für diese entwickelt. Wir befassen uns insbesondere mit folgenden Problemen, Datenstrukturen und Algorithmen:

    • Sortieren: Mergesort und Quicksort
    • Suchen: Symboltabellen, binäre Suchbäume, balancierte Suchbäume, Hashtabellen
    • Graphen: spannende Bäume, kürzeste Wege, Minimale Flüsse
    • Strings (Zeichenketten): Stringsuche, Tries, reguläre Ausdrücke, Datenkompression

    Anwendungen aus der Praxis und der Wissenschaft veranschaulichen die Konzepte.
    Training objectives

    Die Studierenden erlangen ein grundlegendes Verständnis im Entwurf und in der Analyse von Datenstrukturen und Algorithmen.
    Comments

    Die Unterrichteinheit setzt sich in der Regel aus je zwei Stunden Vorlesung und zwei Stunden Übung pro Woche zusammen.
    Für die Examen beachten Sie bitte jeweils die Einschreibefristen der Mathematisch-Naturwissenschaftliche und Medizinische Fakultät.
    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    19.09.2019 13:15 - 17:00 Cours PER 21, Room A230
    26.09.2019 13:15 - 17:00 Cours PER 21, Room A230
    03.10.2019 13:15 - 17:00 Cours PER 21, Room A230
    10.10.2019 13:15 - 17:00 Cours PER 21, Room A230
    17.10.2019 13:15 - 17:00 Cours PER 21, Room A230
    24.10.2019 13:15 - 17:00 Cours PER 21, Room A230
    31.10.2019 13:15 - 17:00 Cours PER 21, Room A230
    07.11.2019 13:15 - 17:00 Cours PER 21, Room A230
    14.11.2019 13:15 - 17:00 Cours PER 21, Room A230
    21.11.2019 13:15 - 17:00 Cours PER 21, Room A230
    28.11.2019 13:15 - 17:00 Cours PER 21, Room A230
    05.12.2019 13:15 - 17:00 Cours PER 21, Room A230
    12.12.2019 13:15 - 17:00 Cours PER 21, Room A230
    19.12.2019 13:15 - 17:00 Cours PER 21, Room A230
  • Assessments methods

    Written exam - SA-2019, Session de printemps 2020

    Assessments methods By rating
    Descriptions of Exams

    Selon modalité A de l'annexe du plan d'études en informatique

    Written exam - SP-2020, Autumn Session 2020

    Date 10.09.2020 10:00 - 12:00
    Assessments methods By rating
    Descriptions of Exams

    Selon modalité A de l'annexe du plan d'études en informatique
    Comment examen écrit en présence
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
    Version: 2022_1/V_01
    Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Computer Science [MA]
    Version: 2022_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
    Version: 2023_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Additional TDHSE programme in Computer Science
    Version: 2022_1/V_01
    Additional TDHSE Programme Requirements for Computer Science 60 or +30 > Programmes 60 or +30 > Additional Programme Requirements to Computer Science 60 > Additional TDHSE programme for Computer Science 60 (from AS2020 on)
    Ba - Business Informatics - 180 ECTS
    Version: 2020/SA_V02
    2nd year 60 ECTS > Algorithmics
    Computer Science 120
    Version: 2022_1/V_01
    BSc in Computer science, Major, 2nd-3rd year > Computer Science 2nd and 3th year (from AS2021 on)
    Computer Science 30
    Version: 2022_1/V_01
    Minor in Computer science 30 > Computer Science Minor 30 and 60 ECTS compulsory (from SA2020 on)
    Computer Science 60
    Version: 2022_1/V_01
    Minor in Computer Science 60 > Computer Science Minor 30 and 60 ECTS compulsory (from SA2020 on)
    Computer Science 50 [BSc/BA SI]
    Version: 2022_1/V_01
    BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Computer Science, 2nd-3rd years, elective courses for 50 ECTS (from AS2020 on)
    Computer Science [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)
    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)
    Computer Science [TDHSE] 60
    Version: 2022_1/V_01
    Minor in Computer Science (TDHSE) 60 > Computer Science Minor TDHSE 60 ECTS (from SA2021 on)
    Mathematics 30 for Mathematicians (MATH 30MA)
    Version: 2022_1/V_01
    Mathematics for mathematicians (MATH 30MA), minor 30 (from AS2020 on) > Mathematics, minor MATH 30MA, elective courses (from AS2018 on)
    Mathematics 30 for Physicists (MATH 30PH)
    Version: 2022_1/V_01
    Mathematics for physicists (MATH 30PH), minor 30 (from AS2020 on) > Mathematics, minor MATH 30PH, elective courses (from AS2018 on)
    MiBa - Computer Management - 60 ECTS
    Version: 2021/SA_V03
    Register in the option corresponding to your situation. > Standard > Min. 18 ECTS from the list > Algorithmics
    Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Bioinformtics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
    Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
    Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
    Version: 2023_1/V_01
    Prerequisite to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)