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The
purpose of this module is to expand the student’s understanding of
techniques employed in Knowledge Management by exposing them to a
range of case studies. These case studies will include real world
examples of approaches that organisations have taken to implement
knowledge management solutions. Other case studies will be based
on scenarios which have no a priori solutions to allow the
students to create their own approach and compare it with other
students.
The aim of this module is to
allow the students to examine a range of case studies and
understand how they are implemented in a workplace environment.
This module will not employ traditional teaching
methods. Rather it will employ more innovative, Student-based
learning methods to allow the Student to learn by discussion and
exploration as much as possible. New material may be presented in
the form of seminars however all contact periods will be
opportunities to discuss and clarify the material and to put it
into a more cogent and coherent framework.
Students will be able to explore the
characteristics, advantages and limitations of approaches learnt
through the use of case studies, the use of simulation,
problem-solving and role-play exercises and through working in
groups. In some cases Students will be expected to use
computer-based learning material to supplement studies Students
will be able to explore the characteristics, advantages and
limitations of approaches learnt through their application to
suitable case studies.
The content will consist of
worked out case studies as well as new problems. The worked out
case studies will include but are not restricted to the following;
o
The Holcim Learning System
o
The BRL Hardy Business Model
o
Deutsche Bank Risk Management System
o
Unisys Switzerland Customer System
o
Seimens Industrial Services
o
Infineon Technologies KECnetworking
o
KnowledgeSharing@MED
o
The ShareNet Knowledge Management
System
Other Cases will include the
following areas: Real Estate, Web Content Mining, Product Quality
Analysis, Early Fault Detection in Medical Environments, Expertise
Location and eLearning.
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