621.065 (19S) Uncertain Knowledge: Reasoning and Learning

Sommersemester 2019

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Erster Termin der LV
05.03.2019 12:00 - 14:00 , HS 4
... keine weiteren Termine bekannt

Überblick

Lehrende/r
LV-Titel englisch
Uncertain Knowledge: Reasoning and Learning
LV-Art
Vorlesung-Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
4.0
Anmeldungen
25 (25 max.)
Organisationseinheit
Unterrichtssprache
Englisch
mögliche Sprache/n der Leistungserbringung
Englisch
LV-Beginn
05.03.2019
eLearning
zum Moodle-Kurs

LV-Beschreibung

Intendierte Lernergebnisse

Students should recognize the issue of uncertainty inherent in many Artificial Intelligence applications, understand basic methods for dealing with this issue and learn to adopt and comprehend concrete algorithms that implement these methods. The focus in the first half of the semester will be on reasoning under uncertainty, whereas the second half will deal with learning.

Lehrmethodik

Lecture mixed with practical home and in-class exercises. Slides will be in English. Teaching language will be German unless there are non-German-speaking participants, otherwise English.


eLearning

Moodle

Inhalt/e

Provides an introduction to selected methods for dealing with uncertainty in Artificial Intelligence and Knowledge-Based Systems.

Topics

  • Uncertainty in AI Systems
  • Bayesian Inference and Bayesian Networks
  • Unsupervised Machine Learning
  • Supervised Machine Learning

Literatur

Adnan Darwiche. Modeling and Reasoning with Bayesian Networks. Cambridge University Press. 2009 P. 

Tan, M. Steinbach, V. Kumar. Introduction to Data Mining. Pearson. 2006 

Stuart Russell and Peter Norvig: Artificial Intelligence: A modern approach. Prentice Hall, 2009 

Judea Pearl: Probabilistic Reasoning in Intelligent Systems - Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc. 1988 

D. Koller, N. Friedman. Probabilistic Graphical Models: Principles and Techniques. The MIT Press. 2009 

D. Barber. Bayesian Reasoning and Machine Learning. Cambridge University Press. 2012 

T. Mitchell. Machine Learning. McGraw Hill. 1997

Prüfungsinformationen

Prüfungsmethode/n

Exam, Minitests: in total more than 50% on the minitests qualifies for exam

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Lehramtsstudium Unterrichtsfach Informatik und Informatikmanagement (SKZ: 884, Version: 04W.7)
    • 2.Abschnitt
      • Fach: Angewandte Informatik (LI 2.3) (Pflichtfach)
        • Knowledge Engineering ( 2.0h PR / 4.0 ECTS)
          • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Medieninformatik (Wahlfach)
      • 4.2 Uncertain Knowledge: Reasoning and Learning ( 2.0h VC / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Natural Language Processing (Wahlfach)
      • 5.3 Uncertain Knowledge: Reasoning and Learning ( 2.0h VC / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Softwareentwicklung (Wahlfach)
      • 6.3 Uncertain Knowledge: Reasoning and Learning ( 2.0h VC / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Wirtschaftsinformatik (Wahlfach)
      • 7.3 Uncertain Knowledge: Reasoning and Learning ( 2.0h VC / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Medieninformatik (Wahlfach)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Natural Language Processing (Wahlfach)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Softwareentwicklung (Wahlfach)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Wirtschaftsinformatik (Wahlfach)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Masterstudium Angewandte Informatik (SKZ: 911, Version: 13W.1)
    • Fach: Vertiefung Informatik (Pflichtfach)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Informatics (Wahlfach)
      • 8.4 Uncertain Knowledge: Reasoning and Learning ( 2.0h VC / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2018/19
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Sommersemester 2018
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Wintersemester 2017/18
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Sommersemester 2017
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Wintersemester 2016/17
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Sommersemester 2016
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Wintersemester 2015/16
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
  • 621.066 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Sommersemester 2015
  • 621.065 VK Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
Wintersemester 2014/15
  • 621.065 VK Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)