621.065 (18W) Uncertain Knowledge: Reasoning and Learning

Wintersemester 2018/19

Registration deadline has expired.

First course session
01.10.2018 09:00 - 12:00 S.1.05 On Campus
... no further dates known

Overview

Lecturer
Course title german Uncertain Knowledge: Reasoning and Learning
Type Lecture - Course (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 24 (25 max.)
Organisational unit
Language of instruction German
possible language(s) of the assessment German , English
Course begins on 01.10.2018
eLearning Go to Moodle course

Time and place

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Course Information

Intended learning outcomes

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.

Teaching methodology including the use of eLearning tools

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

Course content

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

Topics

  • Uncertainty in AI Systems
  • Bayesian Inference
  • Theory and Construction of Bayesian Networks
  • Query Answering and Inference by means of Bayesian Networks
  • Unsupervised Machine Learning (Data Mining): Association Rule Mining
  • Supervised Machine Learning (Data Mining): Classification

Literature

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

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Examination methodology

written examinations (60%) + homework exercises (40%) + collaboration points (bonus)

Examination topic(s)

theoretical and practical topics discussed in the course

Assessment criteria / Standards of assessment for examinations

Will be published in Moodle at the beginning of the semester.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Teacher training programme Computer Sciences and Computer Sciences Management (Secondary School Teacher Accreditation) (SKZ: 884, Version: 04W.7)
    • Stage two
      • Subject: Angewandte Informatik (LI 2.3) (Compulsory subject)
        • Knowledge Engineering ( 2.0h PR / 4.0 ECTS)
          • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
    • Subject: Medieninformatik (Compulsory elective)
      • 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)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
    • Subject: Natural Language Processing (Compulsory elective)
      • 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)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
    • Subject: Software Development (Compulsory elective)
      • 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)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 17W.1)
    • Subject: Business Informatics (Compulsory elective)
      • 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)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
    • Subject: Media Informatics (Compulsory elective)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
    • Subject: Natural Language Processing (Compulsory elective)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
    • Subject: Software Development (Compulsory elective)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
    • Subject: Business Informatics (Compulsory elective)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Informatik (SKZ: 521, Version: 09W.3)
    • Subject: Knowledge Engineering (Compulsory elective)
      • Knowledge Engineering ( 2.0h PR / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
    • Subject: Vertiefung Informatik (Compulsory subject)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Masterstudium Informatik (SKZ: 921, Version: 09W.1)
    • Subject: Knowledge Engineering (Compulsory elective)
      • Knowledge Engineering ( 2.0h PR / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Subject: Informatics (Compulsory elective)
      • 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)
  • Master's degree programme Technical Mathematics (SKZ: 401, Version: 13W.1)
    • Subject: Informatik (Compulsory elective)
      • Knowledge Engineering ( 2.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Erweiterungscurriculum Vertiefung der Informatik (Version: 16W.1)
    • Subject: Wissensverarbeitung (Compulsory elective)
      • Knowledge Engineering ( 0.0h UE / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
  • Master's degree programme Game Studies and Engineering (SKZ: 992, Version: 17W.2)
    • Subject: Gebundenes Wahlfach (Compulsory elective)
      • Module: Game Engineering
        • Uncertain Knowledge: Reasoning and Learning ( 0.0h VC / 4.0 ECTS)
          • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VC / 4.0 ECTS)
            Absolvierung im 1., 2., 3. Semester empfohlen

Equivalent courses for counting the examination attempts

Sommersemester 2019
  • 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)