040189 KU Knowledge Management (MA) (2023W)
Continuous assessment of course work
Labels
ON-SITE
Zur endgültigen Lehrveranstaltung-Aufnahme ist ein pünktliches Erscheinen zur Vorbesprechung notwendig. Unentschuldigtes Fernbleiben führt zum Verlust des Lehrveranstaltungsplatzes.
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 11.09.2023 09:00 to Fr 22.09.2023 12:00
- Registration is open from Tu 26.09.2023 09:00 to We 27.09.2023 12:00
- Deregistration possible until Fr 20.10.2023 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 04.10. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 04.10. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 11.10. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 11.10. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 18.10. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 18.10. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 25.10. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 25.10. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 08.11. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 08.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 10.11. 09:45 - 13:00 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 15.11. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 15.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
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Wednesday
22.11.
08:00 - 09:30
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock - Wednesday 22.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 29.11. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 29.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 06.12. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 06.12. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 13.12. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 13.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
10.01.
08:00 - 09:30
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock - Wednesday 10.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 17.01. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 17.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 24.01. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 24.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 24.01. 15:00 - 20:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 25.01. 11:30 - 13:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 25.01. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 25.01. 15:00 - 20:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 26.01. 08:00 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 26.01. 13:15 - 20:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 31.01. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 31.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Part 1: Course Knowledge Management (2 hr)
(1) Active participation in the course by means of two tests (no papers allowed): 40%
(2) Assessment of the practical project based on the intermediate submissions and the final presentation (documents allowed): 60%Part 2: Literature seminar Knowledge Management (2 hr)
(3) Plausibility check whether the text has been prepared by the student. The final work is subjected to a plagiarism check by means of submission via the eLearning platform Moodle (Turn-It-In). In case of plagiarism or preparation of the work by a third person, the work will be reported as cheating and the achievement will be judged as having been obtained by fraud.
(4) The final grade will be assessed based on three aspects:
(a) Exposé (10%)
(b) Scientific seminar paper (70%)
- Positioning of the text (15/100)
- Preparation of the content (35/100)
- Methodical approach (25/100)
- Formal criteria (25/100)
(c) Final presentation (20%)For positive completion of the course, both parts must be positively passed independently of each other.
(1) Active participation in the course by means of two tests (no papers allowed): 40%
(2) Assessment of the practical project based on the intermediate submissions and the final presentation (documents allowed): 60%Part 2: Literature seminar Knowledge Management (2 hr)
(3) Plausibility check whether the text has been prepared by the student. The final work is subjected to a plagiarism check by means of submission via the eLearning platform Moodle (Turn-It-In). In case of plagiarism or preparation of the work by a third person, the work will be reported as cheating and the achievement will be judged as having been obtained by fraud.
(4) The final grade will be assessed based on three aspects:
(a) Exposé (10%)
(b) Scientific seminar paper (70%)
- Positioning of the text (15/100)
- Preparation of the content (35/100)
- Methodical approach (25/100)
- Formal criteria (25/100)
(c) Final presentation (20%)For positive completion of the course, both parts must be positively passed independently of each other.
Minimum requirements and assessment criteria
Part 1: Course Knowledge Management (2 hr) (50% of the total assessment)
• Compulsory attendance with max. 3 excused absences.
• Total sum of test and practical project must be > 50%.
Theory part: 1. Intermediate test 20%, 2. Intermediate test 20% = 40%, collaboration can change the final grade.
Practical project: The realization of the project is a prerequisite for an assessment, 1. realization of the project 40%, 2. modeling 20%, 3. description of the knowledge product is to be understood as a topic assignment. (all partial project performances must have been submitted in due time)Part 2: Literature seminar Knowledge Management (2 hr) (50% of the total assessment)
• No compulsory attendance during supervision, compulsory attendance at the first three appointments (preliminary meeting, topic assignment, units on scientific work) and at all appointments for verification of authorship.
• Assessment of the sum of all partial performances must be > 50%.For positive completion of the course, both parts must be positively passed independently of each other.
The total sum gives the grade: 50%<62,5%: 4; 62,5%<75%: 3; 75%<87,5%: 2; 87,5%<=100%: 1
• Compulsory attendance with max. 3 excused absences.
• Total sum of test and practical project must be > 50%.
Theory part: 1. Intermediate test 20%, 2. Intermediate test 20% = 40%, collaboration can change the final grade.
Practical project: The realization of the project is a prerequisite for an assessment, 1. realization of the project 40%, 2. modeling 20%, 3. description of the knowledge product is to be understood as a topic assignment. (all partial project performances must have been submitted in due time)Part 2: Literature seminar Knowledge Management (2 hr) (50% of the total assessment)
• No compulsory attendance during supervision, compulsory attendance at the first three appointments (preliminary meeting, topic assignment, units on scientific work) and at all appointments for verification of authorship.
• Assessment of the sum of all partial performances must be > 50%.For positive completion of the course, both parts must be positively passed independently of each other.
The total sum gives the grade: 50%<62,5%: 4; 62,5%<75%: 3; 75%<87,5%: 2; 87,5%<=100%: 1
Examination topics
The examination material will be announced during the course.
Reading list
Grundlage stellt Karagiannis, Dimitris / Telesko, Rainer: Wissensmanagement Konzepte der Künstlichen Intelligenz und des Softcomputing dar.
http://austria.omilab.org/psm/omirob
Zusätzliche Literatur wird im Rahmen der LV bekanntgegeben.
http://austria.omilab.org/psm/omirob
Zusätzliche Literatur wird im Rahmen der LV bekanntgegeben.
Association in the course directory
Last modified: Mo 06.11.2023 11:27
The contents of the course are: Knowledge management, knowledge representation, knowledge engineering, especially logic-based systems, fuzzy logic, neural networks, expert systems, ontologies, modeling and metamodeling Introduction to knowledge management, comparison of tools and software products. The areas of (a) classical knowledge processing, (b) fuzzy logic and fuzzy systems, and (c) artificial neural networks; are presented at three levels (modeling level, development and implementation level, deployment level).This part of the course is divided into a theoretical and a practical part.
The theoretical part explains the basics of knowledge processing in a frontal teaching with compulsory attendance and cooperation. The content can be taken either from the course book, on div. Internet pages as well as from the frontal teaching. The performance monitoring consists of two tests.
The practical part consists of a group project in which a digital service is first (a) described, (b) then modeled, and (c) realized towards the end of the semester. The practical part is carried out in the form of workshops, tutorials and independent work time. The performance assessment is the final presentation as well as the interim submissions (a,b,c).This part of the course is taught and examined in German. The practical part can also be conducted in English.Part 2: Literature seminar Knowledge Management (2 hr)
The seminar paper is a scientific paper with the following evaluation criteria: (1) Positioning of the topic; Why is this topic interesting? (2) Method of content preparation; How was the content prepared? (3) Methodical approach; What is described? (4) Compliance with formal criteria; Are format templates, citation guidelines and references executed correctly and transparently?
Seminar papers are preparatory work for the diploma thesis and are intended to practice the scientific preparation of content in addition to the development and deepening of relevant topics of study.
The literature work is open-topic in the areas of data management, business intelligence, industry 4.0, business process management and knowledge management, with the option to choose from given topics.The literature seminar will be conducted in the form of individual work, with fixed group appointments and individual interaction offered for supervision. The performance assessment is based on the plausibility of the student's own work and the plagiarism check on the basis of an exposé to be submitted (10%), the final seminar paper (70%) and the presentation of the final results (20%).
The seminar paper will be evaluated on the basis of (1) positioning of the topic, (2) methodological approach, (3) presentation of the content and (4) formal criteria.The paper has to be written in English (or German), the supervision can take place in German and English.