Course detail
Knowledge Management
FP-IBkmPAcad. year: 2024/2025
The course follows basic bachelor´s degree courses in the area of management, IT/ICT and managerial decision-making. The course focuses on explaining the basic theoretical concepts related to the management of knowledge and its practical application in the company. Emphasis is placed on the issue of knowledge representation in the context of knowledge engineering and on knowledge models for decision support. The course also provides basic information on the integration of knowledge management with other managerial disciplines, especially with project management.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
COMPLETION OF THE COURSE
COURSE-UNIT CREDIT: The course-unit credit is awarded on the following conditions:
- 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, using open questions (max. 20 points). Oral examination if necessary. Overall evaluation of the course is based on the results obtained by exam with possible reference to the results obtained during the semester.
The grades and corresponding points:
A (20-18), B (17-16), C (15-14), D (13-12), E (11-10), F (9-0).
COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY
Requirements for gaining the credit:
The same as in the section COMPLETION OF THE COURSE.
Examination requirements:
The same as in the section COMPLETION OF THE COURSE.
Checking the results of individual work on assigned tasks.
Aims
• 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.
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.
Study aids
See Course literature.
Study materials available on e-learning.
Prerequisites and corequisites
Basic literature
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.
Recommended reading
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.
ISHIZAKA, A., NEMERY, P. Multi-criteria decision analysis: methods and software. Chichester: John Wiley, 2013. 296 p. ISBN 978-1-119-97407-9.
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.
MERTINS, K., HEISIG, P., VORBECK, J. Knowledge management. Berlin: Springer, 2003. 383 p. ISBN 3-540-00490-4.
MILTON, N. Knowledge management for teams and projects. Oxford: Chandos Publishing, 2005. 154 p. ISBN 1-84334-114-X.
Elearning
Classification of course in study plans
- Programme MGR-IBM Master's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction to Knowledge Management
- Knowledge Management in Decision Making Process and Knowledge Representation.
- Linear Programming Model as a Decision Support System in Knowledge Management.
- Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management.
- Knowledge Modelling and Representation – Decision Trees, Decision Tables.
- Knowledge Engineering and Soft Computing.
- Knowledge Management Integration.
Exercise
Teacher / Lecturer
Syllabus
- Linear Programming Model as a Decision Support System in Knowledge Management.
- Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management – Criteria Weights Calculation.
- Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management – Problem Solving Methods.
- Knowledge Modelling and Representation – Decision Trees.
- Knowledge Modelling and Representation – Decision Tables.
- Credit test.
- Knowledge/expert systems – case studies.
Elearning