English

6

Not applicable.

After studying this module students should be able to:
• Understand the complex range of knowledge management.
• Apply methods of getting of knowledge for management of company.
• Apply knowledge as a support of management decision making.
• Apply the principles of knowledge management in a company.
• Apply methods and tools of knowledge management.

Not applicable.

Not applicable.

The course is taught through lectures explaining the basic principles and theory of the discipline. Seminars are focused on practical topics presented in lectures.

For completion of the course the following conditions:

COURSE-UNIT CREDIT: The course-unit credit is awarded on the following conditions:
- participation in seminars,
- successful completion of the credit test (min. 50%),
- successful completion of the semester project within the specified deadline.

EXAM: The exam has a written form: written test and open theoretical questions. Oral examination if necessary.
The mark, which corresponds to the total sum of points achieved (max. 20 points), consists of:
- points achieved in exam test (10 multiple-choice questions; 1 question =1 point),
- points achieved by answering theoretical questions (2 questions; 1 question = 5 points).

The grades and corresponding points:
A (20-18), B (17-16), C (15-14), D (13-12), E (11-10), F (9-0).

1. Introduction to Knowledge Management
2. Knowledge Management in Decision Making Process
3. Linear Programming Model as a Decision Support System in Knowledge Management
4. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management
5. Knowledge Model of Multi-Criteria Decision Making: Problem Solving Methods
6. Knowledge Modelling and Representation – Decision Trees
7. Knowledge Modelling and Representation – Decision Tables
8. Knowledge Engineering and Soft Computing
9. Knowledge Capture and Codification
10. Knowledge Sharing and Communities of Practice
11. Implementation of Knowledge Management
12. Knowledge Management in Project-Based Organization
13. Integration between Knowledge Management and Other Selected Managerial Disciplines (Risk Management, Innovation Management)

Not applicable.

Aim of the course unit is:
• To provide students with importance of knowledge for company and their management.
• To provide students with the basic conception of knowledge management.
• To provide students with the basic methods and tools of knowledge management.
• To presented the new trends of knowledge management.
• To presented integration of knowledge management with other managerial disciplines.

Checking the results of individual work on assigned tasks. In the case of excused absence, the teacher may set in justified cases a replacement condition, usually working out of a partial task.

Not applicable.

Not applicable.

DALKIR, K. Knowledge management in theory and practice. Boston: Elsevier Butterworth-Heinemann, 2005. 356 p. ISBN 978-0-7506-7864-3.
MILTON, N., LAMBE, P. The Knowledge Manager's Handbook: A Step-by-Step Guide to Embedding Effective Knowledge Management in your Organization. London, Philadelphia: Kogan Page Publishers, 2016. 320 p. ISBN 978-0-7494-7553-6.
ŠUBRT, T., ZUZÁK, R. et all. Mastering knowledge. Praha: Alfa Nakladatelství, 2010. 318 p. ISBN 978-80-87197-37-0.

MERTINS, K., HEISIG, P., VORBECK, J. Knowledge management. Berlin: Springer, 2003. 383 p. ISBN 3-540-00490-4.
KOTLARSKY, J., OSHRI, I., FENEMA, P. Knowledge processes in globally distributed contexts. Basingstoke New York: Palgrave Macmillan, 2008. 259 p. ISBN 978-0-230-00731-4.
LOVE, P., FONG, P., IRANI, Z. Management of knowledge in project environments. Boston: Elsevier, 2005. 242 p. ISBN 0-7506-6251-4.
COLLISON, CH., PARCELL, G. Learning to Fly: Practical Knowledge Management from Leading and Learning Organizations. Oxford: John Wiley And Sons, 2004. 332 p. ISBN 978-1-841-12509-1.
MILTON, N. Knowledge management for teams and projects. Oxford: Chandos Publishing, 2005. 154 p. ISBN 1-84334-114-X.
ANDERSON, D. R., SWEENEY, D. J., WILLIAMS, T. A., CAMM, J. D., COCHRAN, J. J. Quantitative Methods for Business. 13rd ed. Boston: Cengage Learning, 2016. 936 p. ISBN 978-1-285-86631-4.
ISHIZAKA, A., NEMERY, P. Multi-criteria decision analysis: methods and software. Chichester: John Wiley, 2013. 296 p. ISBN 978-1-119-97407-9.

13 hours, compulsory

1. Linear Programming Model as a Decision Support System in Knowledge Management
2. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management
3. Knowledge Model of Multi-Criteria Decision Making: Problem Solving Methods
4. Knowledge Modelling and Representation – Decision Trees
5. Knowledge Modelling and Representation – Decision Tables
6. Credit test