SylabUZ
| Course name | Knowledge management |
| Course ID | 06.9-WM-ZiIP-ZL-ANG-D-18_20 |
| Faculty | Faculty of Mechanical Engineering |
| Field of study | Management and Production Engineering |
| Education profile | academic |
| Level of studies | Second-cycle studies leading to MSc degree |
| Beginning semester | winter term 2023/2024 |
| Semester | 2 |
| ECTS credits to win | 4 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Laboratory | 30 | 2 | - | - | Credit with grade |
| Lecture | 15 | 1 | - | - | Credit with grade |
The main effect of the training will be to learn the methods and tools of Knowledge Management in the enterprise.
Integrated management systems, Decision support systems.
Lecture:
L1: Types of technical knowledge in the enterprise.
L2: Methods and tools for acquiring technical knowledge in an enterprise.
L3: Conversion of tacit knowledge.
L4: Gathering knowledge. Knowledge bases.
L5-L6: Knowledge-based mining.
L7-L8: Information systems supporting knowledge management.
L8: Written test.
Lab:
L1: Preparation of the database for knowledge analysis in the SAP system.
L2-L4: Knowledge analysis of the project management area in the SAP system.
L5-L7: Knowledge analysis of the area of customer relationship management in the SAP system.
L8-L9: Knowledge analysis of the sales area in the SAP system.
L10-L12: Knowledge analysis of the warehouse management area in the SAP system.
L13-L14: Mining in the SAP system.
L15: Project of knowledge analysis areas in the SAP system.
Conventional lecture.
Development of models of technical knowledge management, classes on SAP information system.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture: graded credit. Assessment on the basis of a written test involving verification of the knowledge of the subjects concerned.
Laboratory: graded credit. Assessment based on partial sub-reports.
Final rating: the arithmetical mean of grades from individual types of classes.
Patalas-Maliszewska J. Managing Manufacturing Knowledge in Europe in the Era of Industry 4.0, Routledge, 2022
Murray E.J., Knowledge Management, Innovation, and Entrepreneurship in a Changing World, an Diego State University, USA, 2020
Massingham P., Knowledge Management- Theory in Practice, University of Wollongong, Australia, 2019
Modified by prof. dr hab. inż. Justyna Patalas-Maliszewska (last modification: 13-04-2023 19:35)
