Course detail

Knowledge Management

FP-IBkmPAcad. year: 2022/2023

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

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Radek Doskočil, Ph.D., MSc

Department

Institute of Informatics (ÚI)

Learning outcomes of the course unit

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.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

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

Assesment methods and criteria linked to learning outcomes

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.

Course curriculum

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.

Lectures:

  1. Introduction to Knowledge Management
  2. Knowledge Management in Decision Making Process and Knowledge Representation.
  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 Modelling and Representation – Decision Trees, Decision Tables.
  6. Knowledge Engineering and Soft Computing.
  7. Knowledge Management Integration.

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

Checking the results of individual work on assigned tasks.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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.

Recommended reading

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.

Classification of course in study plans

  • Programme MGR-IBM Master's, 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

  1. Introduction to Knowledge Management
  2. Knowledge Management in Decision Making Process and Knowledge Representation.
  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 Modelling and Representation – Decision Trees, Decision Tables.
  6. Knowledge Engineering and Soft Computing.
  7. Knowledge Management Integration.

Exercise

13 hours, compulsory

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

  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 – Criteria Weights Calculation.
  3. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management – Problem Solving Methods.
  4. Knowledge Modelling and Representation – Decision Trees.
  5. Knowledge Modelling and Representation – Decision Tables.
  6. Credit test.
  7. Knowledge/expert systems – case studies.