621.065 (15S) Uncertain Knowledge: Reasoning and Learning

Sommersemester 2015

Registration deadline has expired.

First course session
05.03.2015 14:00 - 16:00 S.2.42 On Campus
... no further dates known

Overview

Lecturer
Course title german Uncertain Knowledge: Reasoning and Learning
Type Lecture - Colloquia (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 19 (25 max.)
Organisational unit
Language of instruction German
Course begins on 07.05.2015

Time and place

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Course Information

Teaching methodology including the use of eLearning tools

Lecture mixed with practical exercises. Slides will be in English.

Course content

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

Topics

  • Uncertainty in AI Systems
  • Bayesian Inference
  • Construction of Bayesian Networks
  • Query Answering and Inference by means of Bayesian Networks
  • Inductive Learning
  • Decision Tree Learning

Prior knowledge expected

Stochastik I; Basic knowledge about propositional and predicate logic as well as logical inference techniques. These topics are typically covered by courses on Logic and Logic Programming.

Literature

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

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 topic(s)

Topics covered in the course.

Assessment criteria / Standards of assessment for examinations

Written examination.

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 VK / 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 VK / 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 VK / 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 VK / 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 VK / 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 VK / 4.0 ECTS)
  • Bachelor's degree programme Informatics (SKZ: 521, Version: 03W.1)
    • Subject: Knowledge Engineering (Compulsory subject)
      • Knowledge Engineering ( 2.0h PR / 4.0 ECTS)
        • 621.065 Uncertain Knowledge: Reasoning and Learning (2.0h VK / 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 VK / 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 VK / 4.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2019
  • 621.065 VC Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)
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)
Wintersemester 2014/15
  • 621.065 VK Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)