621.065 (15S) Uncertain Knowledge: Reasoning and Learning
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. 2009Examination 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 schemePosition 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)
-
Knowledge Engineering (
2.0h PR / 4.0 ECTS)
-
Subject: Angewandte Informatik (LI 2.3)
(Compulsory subject)
-
Stage two
- 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)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Media Informatics
(Compulsory elective)
- 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)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Natural Language Processing
(Compulsory elective)
- 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)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Software Development
(Compulsory elective)
- 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)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Business Informatics
(Compulsory elective)
- 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)
-
Knowledge Engineering (
2.0h PR / 4.0 ECTS)
-
Subject: Knowledge Engineering
(Compulsory elective)
- 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)
-
Knowledge Engineering (
2.0h PR / 4.0 ECTS)
-
Subject: Knowledge Engineering
(Compulsory subject)
- 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)
-
Knowledge Engineering (
2.0h UE / 4.0 ECTS)
-
Subject: Vertiefung Informatik
(Compulsory subject)
- 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)
-
Knowledge Engineering (
2.0h PR / 4.0 ECTS)
-
Subject: Knowledge Engineering
(Compulsory elective)
Equivalent courses for counting the examination attempts
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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
-
Wintersemester 2014/15
- 621.065 VK Uncertain Knowledge: Reasoning and Learning (2.0h / 4.0ECTS)