Your roadmap · आपका रोडमैप
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Admission & first meetingप्रवेश और पहली मुलाकातEnquire at your nearest NDSS centre, meet the teacher, fix the batch time and get your study material.
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Part 1 of the syllabusपाठ्यक्रम भाग 1Unit-wise coaching with notes and doubt classes.
Unit 1: Introduction to Knowledge ManagementUnit 2: Knowledge Creation and CaptureUnit 3: Knowledge Codification
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Part 2 of the syllabusपाठ्यक्रम भाग 2Unit-wise coaching with notes and doubt classes.
Unit 4: Knowledge Sharing and TransferUnit 5: KM Systems and Tools
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Unit tests & assignmentsयूनिट टेस्टRegular tests in the university / board pattern.
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Semester 6 exam (university / board)विश्वविद्यालय / बोर्ड परीक्षाPrevious papers and full revision before the exam.
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Online tests & resultऑनलाइन टेस्ट और रिज़ल्टTake the tests online; your marks and result show in your student login and at the centre.
Syllabus · पाठ्यक्रम
1 subject · 5 chapters · 27 topics
01Unit 1: Introduction to Knowledge Management
5 topics+
- Data, information, knowledge and wisdom (DIKW)
- Tacit and explicit knowledge
- Meaning, need and benefits of KM
- KM cycle
- Knowledge workers and the knowledge economy
02Unit 2: Knowledge Creation and Capture
5 topics+
- Nonaka-Takeuchi SECI model
- Socialisation, externalisation, combination, internalisation
- Role of experts and knowledge engineers
- Capture techniques: interview, brainstorming, protocol analysis
- Repertory grid, concept maps and Delphi method
03Unit 3: Knowledge Codification
6 topics+
- Purpose of codification
- Knowledge maps
- Decision tables and decision trees
- Frames and production rules
- Case-based reasoning
- Taxonomy and ontology, knowledge repositories
04Unit 4: Knowledge Sharing and Transfer
5 topics+
- Communities of practice
- Organisational culture and barriers to sharing
- Storytelling, mentoring and lessons learned
- Best practices
- Learning organisation (Peter Senge)
05Unit 5: KM Systems and Tools
6 topics+
- KM system life cycle and architecture
- Intranets, portals, document management and groupware
- Expert systems and inference engine
- Data mining and AI in KM
- Codification vs personalisation strategy
- Role of the Chief Knowledge Officer and measuring KM
About this course
You will be able to
- Differentiate data, information, knowledge and wisdom, and tacit and explicit knowledge
- Explain knowledge creation using the SECI model and the main knowledge capture techniques
- Use codification tools such as knowledge maps, production rules, decision trees and case-based reasoning
- Describe knowledge sharing through communities of practice, mentoring and a learning organisation
- Explain the architecture and tools of knowledge management systems and the role of the CKO
Who it is for
- BCA students of Semester 6 (UP state universities, Lucknow University pattern)
- Students interested in IT careers in knowledge portals, intranets, analytics and AI-based systems
What you need
- Basic understanding of information systems and databases
Online tests & result
Practice and unit tests online; marks and result show in your student login and at the centre.
Student login →
Questions
Is Knowledge Management a technical subject?
It is mostly management-oriented theory with IT tools; no programming is needed.
How is the paper asked?
Mostly short and long answers on models such as SECI, capture techniques and KMS tools, which we practise with examples.
Which syllabus does the course follow?
It follows the common BCA syllabus of UP state universities (University of Lucknow pattern, followed by affiliated colleges). Where your own university's syllabus differs, the centre teaches as per your university syllabus and papers.
