Universität Wien
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052413 VU Logical Foundations of Knowledge Engineering (2022W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
MIXED

Summary

1 Karagiannis , Moodle
2 Karagiannis , Moodle

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 information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Kickoff meeting (online): 05.10.22 13:15
Link: https://moodle.univie.ac.at/mod/bigbluebuttonbn/guestlink.php?gid=njkgTUpyCe5Y

  • Wednesday 05.10. 13:15 - 14:45 Digital (Kickoff Class)
  • Thursday 06.10. 09:45 - 11:15 Digital
  • Wednesday 12.10. 13:15 - 14:45 Digital
  • Thursday 13.10. 09:45 - 11:15 Digital
  • Wednesday 19.10. 13:15 - 14:45 Digital
  • Thursday 20.10. 09:45 - 11:15 Digital
  • Thursday 27.10. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 03.11. 09:45 - 11:15 Digital
  • Wednesday 09.11. 13:15 - 14:45 Digital
  • Thursday 10.11. 09:45 - 11:15 Digital
  • Wednesday 16.11. 13:15 - 14:45 Digital
  • Thursday 17.11. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 05.10. 13:15 - 14:45 Digital (Kickoff Class)
  • Thursday 06.10. 09:45 - 11:15 Digital
  • Wednesday 12.10. 13:15 - 14:45 Digital
  • Thursday 13.10. 09:45 - 11:15 Digital
  • Wednesday 19.10. 13:15 - 14:45 Digital
  • Thursday 20.10. 09:45 - 11:15 Digital
  • Thursday 27.10. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 03.11. 09:45 - 11:15 Digital
  • Wednesday 09.11. 13:15 - 14:45 Digital
  • Thursday 10.11. 09:45 - 11:15 Digital
  • Wednesday 16.11. 13:15 - 14:45 Digital
  • Thursday 17.11. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG

Information

Aims, contents and method of the course

In this lecture, the goal is to gain expertise in basic knowledge engineering. Therefore, students explore the relevant theory and reinforce their knowledge in exercises where approaches for knowledge representation and processing are employed. Topics like propositional logic, first-order logic and rule-based systems are covered in this lecture.

The lecture will be held online.

Due to the COVID-19 pandemic, changes to lectures and exams (on-site or online) may be necessary at short notice.

Assessment and permitted materials

The aim of the course is to learn and understand the logical foundations for knowledge engineering and how they can be applied.

Twice during the semester, a written test has to be passed. The tests will contain theory questions and applied problems. The material to be examined is that which was covered in the lecture. During the test, unauthorized materials or communication with colleagues is not allowed. If unauthorized aids are used or the examination is not written independently, the examination will not be assessed and documented with an X in the collective report. Within the assessment period of four weeks, the examiner may make random oral inquiries about the subject matter of the examination.

Based on the current regulations, the tests can be held physically in a university building (Scenario 1) or online (Scenario 2). The exact mode will be announced in due time before the exam. The language of the examination is English in both cases.

Scenario 1:
The physical examination must be held individually without unauthorized aids. The exam time is one hour (60 minutes).

Scenario 2:
The online exam will be given individually via Moodle in open-book mode, which means you may use the lecture notes and additional literature or materials listed on Moodle. The exam paper will be unlocked on the Moodle course at the beginning of the exam. You must upload your paper to Moodle as a PDF file at the end of the exam period. Your submission will be subjected to a plagiarism check. The exam time is one hour (60 minutes).

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

Minimum requirements and assessment criteria

In detail, the grade is constituted by:
* Written tests - 30 % (first test) + 40 % (second test)
* Homework assignments (Exercises) - 30%
Overall at least 50% of points need to be achieved.

The grade is calculated from the total points as follows:
>= 87% very good (1)
>= 75% good (2)
>= 62% satisfactory (3)
>= 50% sufficient (4)
< 50% not sufficient (5)

Missing class more than three times results in a negative grade.

Examination topics

Information, Knowledge & Knowledge Engineering
Knowledge Representation
Propositional & First-Order Logic: Introduction
Propositional Logic: Reasoning and Proof
First-Order Logic: Reasoning and Proof
Rule Based Systems
Fuzzy Logic

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

Module: KE WI2

Last modified: Th 11.05.2023 11:27