Knowledge Management detailed syllabus scheme for Information Technology (IT), 2019 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For 8th Sem Scheme of Information Technology (IT), 2019 Pattern, do visit IT 8th Sem Scheme, 2019 Pattern. For the Department Level Optional Course-4 scheme of 8th Sem 2019 regulation, refer to IT 8th Sem Department Level Optional Course-4 Scheme 2019 Pattern. The detail syllabus for knowledge management is as follows.
Knowledge Management Syllabus for Information Technology BE 8th Sem 2019 Pattern Mumbai University
Course Objectives:
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Course Outcomes:
After completion of the course the learner will be able to
- Discuss KM, learning organizations, intellectual capital and related terminologies in clear terms and understand the role of knowledge management in organizations.
- Demonstrate an understanding of the history, concepts, and the antecedents of management of knowledge and describe several successful knowledge management systems
- Evaluate the impact of technology including telecommunications, networks, and Internet/intranet role in managing knowledge.
- Discuss new jobs, roles and responsibilities resulting from the New or Knowledge Economy Ponder KMs current and future impact on individuals, organizations and society at large
Prerequisites:
An introductory course in IT/ IS, Meaning of data, information, knowledge and expertise Meaning of epistemology, Types of Knowledge -Subjective & Objective views of knowledge, procedural Vs. Declarative, tacit Vs. explicit, general Vs. specific. 3
Module I
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Module II
Knowledge management system life cycle Challenges in Building KM Systems – Conventional versus KM System Life Cycle (KMSLS) – Knowledge Creation and Knowledge Architecture -Nonakas Model of Knowledge Creation and Transformation. Knowledge Architecture. 8
Module III
KM Solutions for capture, sharing & applications KM Processes, KM Systems, Mechanisms & Technologies Knowledge Capturing Techniques: Brain Storming -Protocol Analysis – Consensus Decision Making -Repertory Grid- Concept Mapping -Blackboarding, Nominal Group Technique, Delphi method, 9
Module IV
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Module V
Knowledge transfer and sharing Transfer Methods – Role of the Internet – Knowledge Transfer in e-world – KM System Tools – Neural Network – Association Rules – Classification Trees – Data Mining and Business Intelligence – Decision Making Architecture – Data Management – Knowledge Management Protocols – Managing Knowledge Workers. 9
Module VI
KM Impact Dimensions of KM Impact – People, Processes, Products & Organizational Performance Factors influencing impact – universalistic & contingency views Assessment of KM Impact – Qualitative & quantitative measures Identification of appropriate KM solutions, Ethical Legal and Managerial Issues 9
Text Books:
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Reference Books:
- Madanmohan Rao (2004). Knowledge Management Tools and Techniques: Practitioners and Experts Evaluate KM Solutions. Butterworth-Heinemann. ISBN: 0750678186.
- Stuart Barnes (Ed) (2002). Knowledge Management Systems Theory and Practice. Thomson Learning.
- Kimiz Dalkir, Knowledge Management in Theory and Practice, Elsevier, Butterworth Hinemann.
- Applying Knowledge Management: Techniques for Building Corporate Memories. Morgan Kaufmann. ISBN: 1558607609.
Assessment:
Internal Assessment for 20 marks: Consisting of Two Compulsory Class Tests Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to 50% of syllabus contents must be covered in second test. End Semester Theory Examination: Some guidelines for setting the question papers are as:
- Weightage of each module in end semester examination is expected to be/will be proportional to number of respective lecture hours mentioned in the syllabus.
- Question paper will comprise of total six questions, each carrying 20 marks.
- Q.1 will be compulsory and should cover maximum contents of the syllabus.
- Remaining question will be mixed in nature (for example if Q.2 has part
- from module 3 then part
- will be from any other module. (Randomly selected from all the modules)
- Total four questions need to be solved.
For detail Syllabus of all subjects of Information Technology (IT) 8th Sem 2019 regulation, visit IT 8th Sem Subjects of 2019 Pattern.