040189 KU Knowledge Management (MA) (2021W)
Continuous assessment of course work
Labels
MIXED
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 13.09.2021 09:00 to Th 23.09.2021 12:00
- Registration is open from Mo 27.09.2021 09:00 to We 29.09.2021 12:00
- Deregistration possible until Fr 15.10.2021 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
In order to be admitted to the course, you must be on time for the (digitally announced) preliminary meeting/1.LV unit. Unexcused absence will result in the loss of the course place.
NOTE: Under anticipation of the stated LV execution mode, there is the possibility that further course units could be held in presence at the OMP.
Wednesday
06.10.
08:00 - 11:15
Digital
Wednesday
13.10.
08:00 - 11:15
Digital
Wednesday
20.10.
08:00 - 11:15
Digital
Wednesday
27.10.
08:00 - 11:15
Digital
Wednesday
03.11.
08:00 - 11:15
Digital
Wednesday
10.11.
08:00 - 09:30
Digital
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
10.11.
09:45 - 11:15
Digital
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
10.11.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
10.11.
13:15 - 14:45
Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday
17.11.
08:00 - 11:15
Digital
Wednesday
24.11.
08:00 - 11:15
Digital
Wednesday
01.12.
08:00 - 11:15
Digital
Wednesday
15.12.
08:00 - 11:15
Digital
Wednesday
12.01.
08:00 - 09:30
Digital
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
12.01.
09:45 - 11:15
Digital
Wednesday
19.01.
08:00 - 09:30
Digital
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday
19.01.
09:45 - 11:15
Digital
Wednesday
26.01.
08:00 - 11:15
Digital
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) Positioning of the text (15%), content preparation (35%), methodical approach (25%), formal criteria (25%)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) Positioning of the text (15%), content preparation (35%), methodical approach (25%), formal criteria (25%)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 attendance required during supervision, attendance required during topic assignment and self-paced review.
• Assessment of the literature work 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 attendance required during supervision, attendance required during topic assignment and self-paced review.
• Assessment of the literature work 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
The basis literature is Karagiannis, Dimitris / Telesko, Rainer: Knowledge Management Concepts of Artificial Intelligence and Soft Computing.
http://austria.omilab.org/psm/omirob
Additional literature will be announced during the course.
http://austria.omilab.org/psm/omirob
Additional literature will be announced during the course.
Association in the course directory
Last modified: Fr 12.05.2023 00:12
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) Structuring of the content; 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 proposed working method is divided according to the topic selection into (a) annotated table of contents, (b) material search and WORKING version, (c) consolidation and plausibility check in the DRAFT version, (d) control and corrections in the REVIEW version, and (e) submission for assessment in the FINAL version. The performance control takes place after plausibility of the own work and the plagiarism control exclusively at the delivered document on the basis of (1) motivation of the work, (2) methodical procedure, (3) presentation of the contents and (4) the formal criteria.The paper has to be written in English, the supervision can take place in German and English.