Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Knowledge management

Website:website containing additional information
Course code:INFOKMT
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 8-9-2011 through 11-11-2011; retake week 1)
Participants:up till now 45 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
lab session          Remko Helms
Christoph Wagner
lecture          Remko Helms
Marco Spruit
tutorial          Christoph Wagner
week: 44Wed 1-11-20178.30-10.30 uurroom: EDUC-GAMMA
week: 1Fri 5-1-201813.30-16.30 uurroom: BBG-023retake exam
Contents:For a long time companies relied on the production factors: labor, capital and (raw) material, but today the main production factor is knowledge (P. Drucker). Organizations, such as corporate enterprises, non-profits, educational institutions and governmental agencies, face the continual struggle to transform vast amounts of data, information and content into usable and reusable knowledge. Globalization and technological developments force organizations into a continuous process of change and adaptation.

Alvin Toffler and Peter Drucker already noticed the consequences in the 80's of the previous century. They mention the rise of the information based or knowledge based organization. This new type of organizations mainly consists of so-called 'knowledge workers' that largely depend on knowledge to do their work. Knowledge workers work rather autonomously hence a different organization structure is required that typically consist of less management layers. The growing awareness of knowledge as a distinct factor of production and the need for a new management approach has led to a new field of study and practice - knowledge management.

Another driver has been the development of so called 'knowledge systems'. However, results of implementing such systems are not always as expected. Systems are not always aligned with work practices, people need to know how to trust and interpret information provided, providing information or sharing knowledge is not automatically a part of everybody's job routine.

Knowledge management is about organizing, development, and use of knowledge in such a way that it directly contributes to the competitive edge of a company. In the Knowledge Management course we will study the main themes in the field like 'KM models', 'knowledge management strategy', 'organizational learning', 'communities of practice and knowledge networks', 'knowledge discovery', 'knowledge management systems', and 'intellectual capital'.

Articles: see website and/or BSCW (linked from website)

Suggested reading before the course:
- Donald Hislop (2005). Knowledge Management in Organizations - A critical introduction (around 30 USD)
A bit older but a seminal work in the area:
- Davenport & Prusak (1998). Working knowledge - How organizations manage what they know. Harvard Business School Press (less than 15 USD!)

Course form:Lectures
Week 36 - 45 Lectures & guest lectures
Lectures will discuss the KM topic of that week. The lectures cover more than what is described in the papers only. Please note that an occasional lecture will take place in Second Life.

Research Project
In the research project you will study a particular KM topic in a company. During the research project you will follow the main phases of a research project and the deliverable of the project is a research paper (that could potentially be presented at a conference). For the research project you will need a company so start to look out for a company already!
Exam form:
Exam (individual) = 60% of grade
Research paper (group assignment) = 40% of grade

You pass this course when your weighed average is >= 5.5 and no mark is less than 4.5
Work group sessions are mandatory, and respecting deadlines is part of the course requirements.
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
Description:This course is suitable for students in the CKE as well as the MBI Master program (and is mandatory for MBI students). Bachelor students might be placed on a waiting list first.

It is preferred that students have knowledge on business and ICT as covered by the INFOB1ISY, INFOB1OICT and INFOB3SMI courses.