053235 UE Applications of Semantic Technologies (2023W)
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 We 13.09.2023 09:00 to We 20.09.2023 09:00
- Deregistration possible until Sa 14.10.2023 23:59
Details
max. 25 participants
Language: German
Lecturers
- Dimitris Karagiannis
- Christian Muck
- Alexander Tampier (Student Tutor)
Classes (iCal) - next class is marked with N
- Monday 02.10. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 09.10. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 16.10. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 23.10. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 30.10. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 06.11. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 13.11. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 20.11. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 27.11. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 04.12. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 11.12. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 08.01. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 15.01. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 22.01. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.OG
- Monday 29.01. 11:30 - 14:45 Seminarraum 6, Währinger Straße 29 1.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 will be based on the work from the “Semantic Technologies” course of the preceding summer term and are evaluated based on three milestones.Part A (20%): Conceptualisation and plan
The students define and describe the project which they implement in this course.Part B (30%): First prototype
The students hand in a prototype of their project implementing the main features, which were specified in part A. Additionally, a seminar paper describing their prototype must be submitted.Part C (50%): Final submission
The students have to submit the final version of their project with the corresponding materials and a seminar paper.
The students define and describe the project which they implement in this course.Part B (30%): First prototype
The students hand in a prototype of their project implementing the main features, which were specified in part A. Additionally, a seminar paper describing their prototype must be submitted.Part C (50%): Final submission
The students have to submit the final version of their project with the corresponding materials and a seminar paper.
Minimum requirements and assessment criteria
For a positive evaluation of the course, more or equal to 50% of the requirements have to be fulfilled. The grading scale is defined as follows:
>=50% - 62,5%: sufficient (Genügend);
>62,5% - 75%: satisfactory (Befriedigend);
>75% - 87,5%: good (Gut);
>87,5%: very good (Sehr Gut)There will be physical presence in the laboratory based on arrangements during the course. Attendance is mandatory.
>=50% - 62,5%: sufficient (Genügend);
>62,5% - 75%: satisfactory (Befriedigend);
>75% - 87,5%: good (Gut);
>87,5%: very good (Sehr Gut)There will be physical presence in the laboratory based on arrangements during the course. Attendance is mandatory.
Examination topics
The examination topics are based on the topics of the projects, the content 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: We 11.10.2023 09:27
* 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