053235 UE Applications of Semantic Technologies (2019W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Sa 07.09.2019 09:00 to Mo 23.09.2019 09:00
- Deregistration possible until Mo 14.10.2019 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 01.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 08.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 15.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 22.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 29.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 05.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 12.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 19.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 26.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 03.12. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 10.12. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 17.12. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 07.01. 16:45 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 14.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 21.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 28.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Individual or team-based realization of projects in the areas of semantic information systems. The projects are evaluated based on three assessments.Part A: Written Report (50 %)
The specification of a modelling language, the implementation of mechanisms and algorithms, and the presentation and documentation of the project will be evaluated.
The submissions have to be made electronically via the e-learning platform.
The written report including the produced software will be evaluated.
Evaluation mode: TeamPart B: Written Exam (20 %)
The theoretical part of the course will be examined in a written test.
Evaluation mode: IndividualPart C: Oral Exam (30 %)
An oral examination of each student will take place at the end of the semester covering the content of the whole course, see section “Prüfungsstoff”/”Examination topics”Attendance is mandatory.
The specification of a modelling language, the implementation of mechanisms and algorithms, and the presentation and documentation of the project will be evaluated.
The submissions have to be made electronically via the e-learning platform.
The written report including the produced software will be evaluated.
Evaluation mode: TeamPart B: Written Exam (20 %)
The theoretical part of the course will be examined in a written test.
Evaluation mode: IndividualPart C: Oral Exam (30 %)
An oral examination of each student will take place at the end of the semester covering the content of the whole course, see section “Prüfungsstoff”/”Examination topics”Attendance is mandatory.
Minimum requirements and assessment criteria
For a positive evaluation of the course, more or equal to 50% of requirements have to be fulfilled. The grading scale is defined as follows: >50% - 62,5%: Genügend; >62,5% - 75%: Befriedigend; >75% - 87,5%: Gut; >87,5%: Sehr Gut
Examination topics
The examination via the three required submissions is based on topics from this course, from the preceding course of this core combinations module, and from the gatekeeper module "Knowledge Engineering". Additionally, skills and knowledge from the module "Metamodelling" are required.
Reading list
To be announced in the course.
Association in the course directory
Module: SIS SEM
Last modified: Mo 07.09.2020 15:20
* Specify technical architectures
* Implement and deploy semantic information systems that combine elements from modelling, knowledge engineering, and intelligent environments
* Apply validation methods in laboratory environments