623.200 (17S) Seminar in Knowledge and Data Engineering
Overview
- Lecturer
- Course title german Seminar in Knowledge and Data Engineering
- Type Seminar (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 4 (30 max.)
- Organisational unit
- Language of instruction English
- possible language(s) of the assessment English
- Course begins on 23.03.2017
- eLearning Go to Moodle course
Time and place
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Course Information
Intended learning outcomes
Die Teilnehmerinnen und Teilnehmer
- vertiefen ihre Fähigkeiten und Fertigkeiten in der Recherche und im Studium wissenschaftlich-technischer Literatur
- lernen beispielhaft, sich über ein gegebenes Thema einen Überblick zu verschaffen, es zu strukturieren und zusammenzufassen sowie Wesentliches zu extrahieren
- lernen durch kritisches Studium der Literatur beispielhaft zwischen wissenschaftlich-technisch fundierten Arbeiten und weniger verlässlichen oder aussagekräftigen Publikationen zu unterscheiden
- verbessern ihren Vortragsstil
- erweitern ihre Kenntnisse in ausgewählten Bereichen des Data- & Knowledge Engineering sowie der Künstlichen Intelligenz
Teaching methodology including the use of eLearning tools
seminaristisch: Referate, Diskussionen
Course content
Artificial Intelligence, Semantic Systems, Machine Learning, Ontologies, Automated Problem solving, General Game Playing
Intended learning outcomes
The participants
- deepen their skills and proficiency in the research and study of scientific and technical literature
- learn to get an overview of a given topic, to structure and to summarize it as well as to extract the essentials
- learn to distinguish, by critically studying the literature, between scientifically and technically sound works and less reliable or meaningful publications
- improve their presentation style
- expand their knowledge in selected areas of data and knowledge engineering as well as artificial intelligence
Teaching methodology including the use of eLearning tools
seminar-like: presentations, discussions
Course content
artificial intelligence, semantic systems, machine learning, ontologies, automated problem solving, general game playing
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.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Applied Informatics
(SKZ: 911, Version: 13W.1)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
-
Seminar in Knowledge and Data Engineering (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar in Knowledge and Data Engineering (
2.0h SE / 4.0 ECTS)
-
Subject: Knowledge and Data Engineering
(Compulsory elective)
- Masterstudium Informatik
(SKZ: 921, Version: 09W.1)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
-
Seminar in Data- und Knowledge Engineering (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar in Data- und Knowledge Engineering (
2.0h SE / 4.0 ECTS)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
- Masterstudium Informatik
(SKZ: 921, Version: 09W.1)
-
Subject: Intelligent Information Systems in Production, Operation and Management (POM)
(Compulsory subject)
-
Seminar in Intelligent Systems (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar in Intelligent Systems (
2.0h SE / 4.0 ECTS)
-
Subject: Intelligent Information Systems in Production, Operation and Management (POM)
(Compulsory subject)
- Masterstudium Informatik
(SKZ: 921, Version: 09W.1)
-
Subject: Pflichtfächer
(Compulsory subject)
-
Seminar aus Informatik (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar aus Informatik (
2.0h SE / 4.0 ECTS)
-
Subject: Pflichtfächer
(Compulsory subject)
- Master's degree programme Informatics
(SKZ: 921, Version: 03W.1)
-
Subject: Pflichtfächer
(Compulsory subject)
-
Seminar aus Informatik (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar aus Informatik (
2.0h SE / 4.0 ECTS)
-
Subject: Pflichtfächer
(Compulsory subject)
- Master's degree programme Informatics
(SKZ: 921, Version: 03W.1)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
-
Seminar in Data- und Knowledge Engineering (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar in Data- und Knowledge Engineering (
2.0h SE / 4.0 ECTS)
-
Subject: Data and Knowledge Engineering
(Compulsory subject)
- Master's degree programme Informatics
(SKZ: 921, Version: 03W.1)
-
Subject: Intelligent Information Systems in Production, Operation and Management (POM)
(Compulsory subject)
-
Seminar in Intelligent Information Systems in POM (
2.0h SE / 4.0 ECTS)
- 623.200 Seminar in Knowledge and Data Engineering (2.0h SE / 4.0 ECTS)
-
Seminar in Intelligent Information Systems in POM (
2.0h SE / 4.0 ECTS)
-
Subject: Intelligent Information Systems in Production, Operation and Management (POM)
(Compulsory subject)
Equivalent courses for counting the examination attempts
-
Sommersemester 2018
- 623.200 SE Seminar in Knowledge and Data Engineering (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 623.200 SE Seminar in Knowledge and Data Engineering (2.0h / 4.0ECTS)
-
Sommersemester 2015
- 623.200 SE Seminar in Knowledge and Data Engineering (2.0h / 4.0ECTS)
-
Sommersemester 2014
- 623.200 SE Seminar in Knowledge and Data Engineering (2.0h / 4.0ECTS)
-
Sommersemester 2013
- 623.200 SE Seminar in Data- und Knowledge Engineering (2.0h / 3.0ECTS)
-
Sommersemester 2012
- 623.200 SE Seminar in Data- und Knowledge Engineering (2.0h / 3.0ECTS)
-
Sommersemester 2011
- 623.200 SE Seminar in Data- und Knowledge Engineering (2.0h / 3.0ECTS)
-
Sommersemester 2009
- 623.200 SE Seminar in Data- und Knowledge Engineering (2.0h / 3.0ECTS)