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Topic Review (Newest First)
11th April 2021 10:11 AM
Arvind Kumar
Sathyabama Institute of Science and Technology BE CSE SCSA3012 Knowledge Management Systems Syllabus

Sathyabama Institute of Science and Technology BE CSE SCSA3012 Knowledge Management Systems Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF COMPUTING

SCSA3012 KNOWLEDGE MANAGEMENT SYSTEMS
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 INTRODUCTION 9 Hrs.
Overview of Knowledge Management: The Nature of Knowledge - Data, Information and Knowledge with Examples -
Types of Knowledge-Subjective View of knowledge-Objective View of knowledge-Procedural vs. Declarative Knowledge-
Tacit vs. Explicit Knowledge - General vs. Specific Knowledge - Technically vs. Contextually Specific Knowledge -
Knowledge and Expertise - Types of Expertise - Codifiability and Teachability of Knowledge - Specificity of Knowledge -
Reservoirs of Knowledge - Characteristics of Knowledge.

UNIT 2 COMPONENTS AND TECHNOLOGIES IN KMS 9 Hrs.
Major components of KMS-Categories of KMS-Technologies to Manage Knowledge-Digital Libraries- Repositories-Cognitive
Psychology - Kinds of Knowledge- Expert Knowledge-Thinking and Learning in Humans -Knowledge vs. Intelligence -
Knowledge Based Systems for KM :dumb search, Heuristic search .

UNIT 3 KNOWLEDGE ARCHITECTURE 9 Hrs.
Knowledge Management Systems Life Cycle-Challenges in KM Systems Development-Conventional Vs KM Systems Life
Cycle (KMSLC)-Key Differences-Key Similarities and KMSLC Approaches - Knowledge Architecture- Knowledge Creation-
Nonaka’s Model of Knowledge Creation & Transformation-Knowledge Architecture-Acquiring the KM System.

UNIT 4 KMS TOOLS AND TECHNIQUES 9 Hrs.
Knowledge Discovery: Systems that Create Knowledge -Knowledge Capture Systems: Systems that Preserve and
Formalize Knowledge - Concept Maps, Process Modelling, RSS-Wikis-Delphi Method-Knowledge Sharing Systems-
Systems that Organize and Distribute Knowledge- Ontology Development Systems-Categorization and Classification Tools -
XML-Based Tools - Capturing Techniques- On-Site Observation (Action Protocol) -Brainstorming, Electronic Brainstorming -
Protocol Analysis (Think-Aloud Method) - Consensus Decision Making, Repertory Grid - Nominal Group Technique (NGT) -
Delphi Method - Concept Mapping - Black boarding.

UNIT 5 APPLICATION AND FUTURE TRENDS 9 Hrs.
Components Of A Knowledge Strategy – Case Studies - Discovering New Knowledge - Data Mining - Classical statistics &
statistical pattern recognition - Induction of symbolic rules -Induction trees - Artificial Neural Networks - Supervised Learning
- Back Propagation -Unsupervised Learning - Kohonen Network -The Future of Knowledge Management - Protecting
Intellectual Property (IP).
Max.45 Hrs.

COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - An ability to create and represent knowledge to solve a problem.
CO2 - Interpret data for knowledge management systems.
CO3 - Identify the various knowledge architectures.
CO4 - Apply the theoretical knowledge to acquire new systems.
CO5 - Use the knowledge management tools.
CO6 - Develop Knowledge Management Applications.

TEXT / REFERENCE BOOKS
1. Elias M. Awad, Hassan M. Ghaziri (2004). Knowledge Management. Prentice Hall. ISBN: 0-13-034820-1.
2. Ian Watson (2002). Applying Knowledge Management: Techniques for Building Corporate Memories. Morgan
Kaufmann. ISBN: 1558607609.
3. Madanmohan Rao (2004). Knowledge Management Tools and Techniques: Practitioners and Experts Evaluate KM
Solutions. Butterworth-Heinemann. ISBN: 0750678186.
4. Amrit Tiwana (2002). The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms (2nd
Edition). Prentice Hall. ISBN: 013009224X.
5. Stuart Barnes (ed) (2002). Knowledge Management Systems Theory and Practice. Thomson Learning.
6. Stuart Russell, Peter Norvig (2003). Artificial Intelligence: A Modern Approach (2nd Edition). ISBN: 0-13-790395-2.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks : 100 Exam Duration : 3 Hrs.
PART A: 10 Questions of 2 marks each-No choice 20 Marks
PART B: 2 Questions from each unit with internal choice, each carrying 16 marks 80 Marks

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