Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

052413 VU Logical Foundations of Knowledge Engineering (2016W)

Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 05.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 12.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 19.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 09.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 16.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 23.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 30.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 07.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 14.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 11.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 18.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 25.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
Wednesday 25.01. 18:30 - 20:00 Hörsaal 1, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

In this lecture, the goal is to gain expertise in basics knowledge engineering. Therefore, students explore the relevant theory and reinforce their knowledge in exercises. Afterwards, knowledge engineering skills are applied on the topics "Factory of the Future", "Cyber-Physical Systems" and "Internet of Things".

Assessment and permitted materials

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 adresses the topics "Factory of the Future", "Cyber-Physical Systems" and "Internet of Things". Thereby, a method from knowledge engineering is applied to control robotic arms based on predefined use cases. Solutions have to be independent for each student.

During the semester, homework assignments have to be submitted. Solutions have to be independent for each student.

In detail, the grade is constituted by:
* Written test 50 %
* Project 35%
* 6 Homework assignments (15%)

Missing class more than three times results in a negative grade

Minimum requirements and assessment criteria

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 %

Examination topics

Information, Knowledge, Knowledge Management & Knowledge Engineering
Knowledge Representation
Propositional & First-Order Logic
Propositional Logic: Reasoning and Proof
First-Order Logic: Reasoning and Proof
Expert Systems
Bayesian Scheme
Fuzzy Logic I
Fuzzy Logic II

Reading list

Script with lecture content
Moodle course

Dimitris Karagiannis, Rainer Telesko (2001), Wissensmanagement: Konzepte der künstlichen Intelligenz und des Softcomputing
Stuart J. Russell, Peter Norvig (2009), Artificial Intelligence - A Modern Approach

Association in the course directory

Last modified: Mo 07.09.2020 15:30