Knowledge Management

Middlesex University Business School
London, United Kingdom

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' Knowledge management is about improving the ability to acquire knowledge, improving the quality of knowledge, and using knowledge to its greatest advantage. Knowledge is not a resource that can be stored on a floppy disk; it is stored in the minds of people.

This course is designed for people seeking a career in this emerging business field . Knowledge Management is based around knowledge -how it can be represented, discovered, shared, and improved. This involves the use of computerised systems and people.

Computerised systems can help people share knowledge, and even automatically discover knowledge, but they don’t replace people. The key task of this MSc is to give you the ability to create systems that combine people and computers to usefully exploit knowledge.

G501M
Middlesex University is uniquely positioned in this field with almost 20 academic staff working in closely-related areas and substantial research funding to advance this aspect of technology.Relatively small class sizes backed by a strong academic staff means you can benefit from personalised project and research support.There is a significant amount of money to be made in this field for talented individuals and at Middlesex we have the time committed to support your potential.Special features:
Middlesex University is uniquely positioned in this field with almost 20 academic staff working in closely-related areas and substantial research funding to advance this aspect of technology.Relatively small class sizes backed by a strong academic staff means you can benefit from personalised project and research support.There is a significant amount of money to be made in this field for talented individuals and at Middlesex we have the time committed to support your potential.You will acquire computer related skills in data mining, knowledge representation, and information distribution. You will gain human related skills in making tacit knowledge explicit, and developing knowledge communities.



You will learn how humans and computers interface with each other. Additionally, you will improve your own skills in discovering knowledge. The programme provides in depth knowledge and broad coverage of a very new and exciting area of computing science.

Programme Content:
You will acquire computer related skills in data mining, knowledge representation, and information distribution. You will gain human related skills in making tacit knowledge explicit, and developing knowledge communities.



You will learn how humans and computers interface with each other. Additionally, you will improve your own skills in discovering knowledge. The programme provides in depth knowledge and broad coverage of a very new and exciting area of computing science.

Knowledge Management Systems Development
You will be prepared to take a leading role in the strategic planning, development and evaluation of IT-based systems for knowledge management that can assist organisations to operate effectively. You review knowledge management concepts and models and engage with a variety of theories (e.g. organisation theory and systems theory) and will be equipped to design knowledge management systems in organisations.

Knowledge Discovery
This module presents state-of-the-art technologies that are quickly entering business applications to discover new knowledge and support decision-making and operations in organisations. Commercial enterprises are investing in these systems to gain technological advantage over their competitors. Systems range from standard statistical methods to more recently emerged applications of data-mining and knowledge discovery in databases (KDD), artificial intelligence (AI) and operations research (OR).
You gain an introduction into the theory of decision-making, and how information and knowledge facilitate the decision-making process. Linear models, neural networks for pattern recognition and data analysis are presented. Students will be encouraged to make the comparison between human intelligence and artificial intelligence.

Knowledge Management Strategies
Draw upon the latest theory and practice to assist organisations in developing effective knowledge management programmes which exploit and nurture human, structural and social relationships and intellectual capital. Explore and create knowledge eco-systems to maintain a competitive advantage in knowledge-driven economies.

Research Methods in Knowledge Management
Covers a range of research topics and methods to provide a unique view on researching novel topics in knowledge management. Qualitative and quantitative methods will be discussed in depth. Each topic will contribute its own Set of problems, Research method, Body of literature and state of the field.

Modules:
Knowledge Management Systems Development
You will be prepared to take a leading role in the strategic planning, development and evaluation of IT-based systems for knowledge management that can assist organisations to operate effectively. You review knowledge management concepts and models and engage with a variety of theories (e.g. organisation theory and systems theory) and will be equipped to design knowledge management systems in organisations.

Knowledge Discovery
This module presents state-of-the-art technologies that are quickly entering business applications to discover new knowledge and support decision-making and operations in organisations. Commercial enterprises are investing in these systems to gain technological advantage over their competitors. Systems range from standard statistical methods to more recently emerged applications of data-mining and knowledge discovery in databases (KDD), artificial intelligence (AI) and operations research (OR).
You gain an introduction into the theory of decision-making, and how information and knowledge facilitate the decision-making process. Linear models, neural networks for pattern recognition and data analysis are presented. Students will be encouraged to make the comparison between human intelligence and artificial intelligence.

Knowledge Management Strategies
Draw upon the latest theory and practice to assist organisations in developing effective knowledge management programmes which exploit and nurture human, structural and social relationships and intellectual capital. Explore and create knowledge eco-systems to maintain a competitive advantage in knowledge-driven economies.

Research Methods in Knowledge Management
Covers a range of research topics and methods to provide a unique view on researching novel topics in knowledge management. Qualitative and quantitative methods will be discussed in depth. Each topic will contribute its own Set of problems, Research method, Body of literature and state of the field.

Taught modules are assessed by unseen examination, coursework or both. The postgraduate dissertation is assessed by a proposal (10%), an agreed number of milestones (10%) and a final dissertation report (80%).

Assessment:
Taught modules are assessed by unseen examination, coursework or both. The postgraduate dissertation is assessed by a proposal (10%), an agreed number of milestones (10%) and a final dissertation report (80%).

...''

Phone:+44 (0)20 8411 5000

School Address:

Middlesex University Business School
The Burroughs
London
NW4 4BT
United Kingdom


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