623.630 (20S) Seminar in Semantic Systems
Overview
- Lecturer
- Course title german Seminar in Semantic Systems
- Type Seminar (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 8 (25 max.)
- Organisational unit
- Language of instruction English
- Course begins on 04.03.2020
- eLearning Go to Moodle course
Time and place
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Course Information
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 between scientifically and technically sound works and less reliable or meaningful publications by critically studying literature
- improve their presentation skills
- expand their knowledge in selected areas of semantic systems and related research areas
Teaching methodology including the use of eLearning tools
seminar-like: presentations, discussions
Course content
ontology-based data access, non-monotonic reasoning, hybrid knowledge bases, declarative languages, computational complexity
Prior knowledge expected
Basic knowledge in logic, databases, knwledge representation would be beneficial, but not strictly needed.
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
The final mark is based on a presentation.
Assessment criteria / Standards of assessment for examinations
The quality of presentation is measured along four dimensions:
- Talk content (depth)
- Slide design
- Presentation style
- Duration of the talk (adherence to time limits)
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)
- 623.630 Seminar in Semantic Systems (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)
- Master's degree programme Informatics
(SKZ: 911, Version: 19W.2)
-
Subject: Artificial Intelligence
(Compulsory elective)
-
Seminar (
2.0h SE / 4.0 ECTS)
- 623.630 Seminar in Semantic Systems (2.0h SE / 4.0 ECTS) Absolvierung im 3. Semester empfohlen
-
Seminar (
2.0h SE / 4.0 ECTS)
-
Subject: Artificial Intelligence
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 623.630 SE Seminar in Artificial Intelligence (2.0h / 4.0ECTS)
-
Sommersemester 2022
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)
-
Sommersemester 2021
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)