053225 VU Semantic Technologies (2017S)
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 Mo 06.02.2017 09:00 to We 22.02.2017 23:59
- Deregistration possible until Mo 20.03.2017 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
07.03.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
14.03.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
21.03.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
28.03.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
04.04.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
25.04.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
02.05.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
09.05.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
16.05.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
23.05.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
30.05.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
13.06.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
20.06.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Tuesday
27.06.
15:00 - 18:15
PC-Unterrichtsraum 6, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Individual or team-based realization of practical topics in the areas of enterprise modeling and semantic information systems. In particular we will use APIs of the platforms ADOxx and others.Students elaborate new technologies based on their existing knowledge and apply them on their own to new problems. This is accomplished in 3 phases: A. Elaboration of new technologies, B. Design of a concept of the solution, C. Technical Implementation of the Solution. In each phase, students give oral presentations and answer questions of the course instructors. The final submission has to consist of an executable prototype incl. a documentation of the source code, a documentation and a final presentation slide set.
Assessment and permitted materials
During the semester, students have to present specific topics from sematic technologies and design a corresponding tutorial.At the end of the semester, a written test has to be passed. The test will contain theory questions and applied problems. During the test, no unauthorized materials are allowed and all electronic devices have to be turned off.Until the end of the Semester, a project has to be completed. The project applies the Agile Modeling Method Engineering (AMME) framework in hybrid metamodeling. Thereby, sematic technologies are applied to use cases from "Factory of the Future", "Cyber-Physical Systems" and "Internet of Things".
Minimum requirements and assessment criteria
In detail, the grade is constituted by:* Student Presentations including Tutorials (30%)
* Project (50%)
* Written Test (20 %)To receive a positive grade, 50 out of 100 percent are required. Grades are as follows:* sehr gut (1) >= 87,00%
* gut (2) >= 75,00%
* befriedigend (3) >= 62,00%
* genügend (4) >= 50,00 %
* nicht genügend (5) < 50,00 %Missing class more than three times results in a negative grade.
* Project (50%)
* Written Test (20 %)To receive a positive grade, 50 out of 100 percent are required. Grades are as follows:* sehr gut (1) >= 87,00%
* gut (2) >= 75,00%
* befriedigend (3) >= 62,00%
* genügend (4) >= 50,00 %
* nicht genügend (5) < 50,00 %Missing class more than three times results in a negative grade.
Examination topics
The examination topics depend on specific details which are chosen from the fields of
* Digitalization,
* Semantic Technologies, and
* Metamodeling.
* Digitalization,
* Semantic Technologies, and
* Metamodeling.
Reading list
Dimitris Karagiannis, Heinrich C. Mayr, John Mylopoulos(2016): Domain-Specific Conceptual Modeling: Concepts, Methods and Tools
Stuart J. Russell, Peter Norvig (2009), Artificial Intelligence - A Modern Approach
Dimitris Karagiannis, Rainer Telesko (2001), Wissensmanagement: Konzepte der künstlichen Intelligenz und des Softcomputing
Stuart J. Russell, Peter Norvig (2009), Artificial Intelligence - A Modern Approach
Dimitris Karagiannis, Rainer Telesko (2001), Wissensmanagement: Konzepte der künstlichen Intelligenz und des Softcomputing
Association in the course directory
Module: SIS SEM
Last modified: Mo 07.09.2020 15:30