Natchatran - Dazzling in front of world ## Prepared by: PREM ANANDH.J
Department of Computer Science and Engineering
Department of Computer Science and Engineering
IT2043 - Knowledge Management
UNIT-1
PART A:
1.
What
is meant by KM?
2.
Differentiate
KM & Intellectual capital.
3.
Define KM?
4.
Differentiate
between internet & an intranet
5.
Differentiate
trust & knowledge sharing.
6.
Distinguish
between Knowledge & Common sense.
7.
Distinguish
between Experience & heuristics.
8.
Distinguish
between learning by example & learning by discovery.
9.
What
are Relationships between knowledge & information?
10. What are
Relationships between knowledge & data?
11. What is the
difference between tacit & explicit Knowelege.Give an example.
PART B:
1.
Explain
about ten KM Myths.(8)
2.
Briefly
Explain about the KM Lifecycle.(8)
3.
Explain about Understanding knowledge.(8)
4.
Briefly Explain about Human thinking &
learning.(8)
5.
Explain
about Types of knowledge with neat diagram.(16)
6.
Describe
about Cognition and KM (8)
7.
Write
about Expert Knowledge (8)
8.
Explain
about Types of knowledge with neat diagram.(10)
9.
Describe
about Understanding Knowledge (6)
10.
Explain about Human Thinking and Learning (8)
UNIT-II
PART A:
1. Why it is helpful to view the building of a KM system as a lifecycle?
2. Distinguish
between verification & validation.
3. Distinguish
between knowledge developer & system analyst.
4. How do users
differ from experts?
5. What is rapid
prototyping?
6. What is meant by people core of knowledge architecture?
7. What is
knowledge creation?
8. Define consistency.
9. How knowledge is
create & transferred via teams.
10. Explain the main impediments to knowledge sharing.
11. What is the difference between an intranet & an extranet?
12. Difference between usability & portability.
- Define about KMSLS
- Distinguish
between verification & validation?
- Distinguish between an intranet & an extranet?
PART B:
1. Explain about
knowledge creation & knowledge architecture.(16)
2. Explain about
conventional Vrs KMSLS.(8)
3. Explain about
Expert Knowledge.(8)
4. Explain about
Technology layers.(16)
5. Explain about
the differences and similarities of conventional system VS KMSLC. Explain about
KMSLC with neat diagram (16)
6. Describe the Challenges
in Building KM Systems (8)
7. Briefly Explain
about Knowledge Architecture (8)
8. Briefly explain
about – Nonaka’s Model of Knowledge Creation and Transformation(8)
9. Explain rapid
prototyping.(8)
UNIT-III
PART
A:
1. Define about capturing knowledge
2.
What
is meant by knowledge capture?
3. What is black
boarding?
4. Write about electronics brainstorming
5.
What is the process of
brainstorming?
6. Define decision tables & trees.
7.
What
is meant Grid and Repertory grid?
8.
Write about the qualifications of Experts.
9.
How
to understand the experience?
10. What is meant by
Analogies and Uncertainty
11. How would one
identify Expertise?
- List out
the drawback of Approaching multiple experts
PART
B:
1.
Explain
the concept of evaluating the expert.(16)
2.
How
to develop a relationship with expert?(8)
3.
Briefly
the concept of brainstorming.(8)
4.
Briefly
explain Repertory Grid (6)
5.
Knowledge
Capturing Techniques (8)
6.
How
to Develop a Relationship with Experts (10)
7.
why
should the Knowledge developer understand the differences among the level of
Experts? Isn’t an an expert an expert regardless of level? (6)
8.
Explain
about Fuzzy Reasoning and the Quality of Knowledge (8)
9.
Discuss
about Protocol Analysis (8)
IV UNIT
PART
A:
1.
Define
Deployment.
2. What is mean by
knowledge codification?
3.
Difference
between Logical & User Acceptance Testing.
4.
What
is meant by Face Validity?
5.
What
is the need for testing?
6.
What
are techniques used in User Acceptance Testing?
7.
List
out the main issues related to Deployment.
8.
What
are the levels of user training & Deployment?
9.
Who
is Knowledge based agent?
10.
What
is the use of Knowledge map?
11. What is mean by Case-Based Reasoning
12. Write
the Role of inferencing
13. What is the necessary of codification?
PART
B:
1.
Briefly
explain about Codification Tools and
Procedures (16)
2.
What
are the goal of logical testing & User Acceptance Testing.(16) \
3.
Explain
about Concept Mapping (8)
4.
What
is the Modes of Knowledge Conversion (8)
5.
Briefly
explain about Knowledge Developer’s Skill Sets (8)
6.
What
are the goal of logical testing & User Acceptance Testing.(16)
7.
Briefly
discuss about Approaches to Logical Testing (8)
8.
What
is mean by User Acceptance Testing? Explain (8)
9.
Define
KM system Deployment & Explain issues related to Deployment.(16)
10. What is mean by
Consensus Decision Making? Explain (8)
11.
Briefly
explain about post implementation.(8)
12.
Discuss
about KM User Training (8)
13.
Explain
about the Association Rule & classification trees.(8) (OR)
14.
V UNIT
PART
A:
1.
What
is meant by Knowledge transfer?
2.
Difference between Explicit interterm transfer
& Tacit Knowledge transfer.
3.
Define
Collective sequential transfer.
4.
Define
intranet & extranet.
5.
What
is groupware in the E-World?
6.
What
is meant by Association Rule?
7.
What
is meant classification trees?
8.
Define
neural networks.
9.
Define
Data mining.
10.
Define
neural networks.
11.
What
is meant classification trees?
12.
What
is Data mining technique?
PART
B:
1.
Explain
about the Knowledge Transfer Methods.(16)
2.
Summarize
the uses and limitations of the internet as they relate to Knowledge
management.(8)
3.
Explain
about the Association Rule & classification trees.(8)
4.
Explain
about the Knowledge Transfer in the E-World.(8)
5.
Describe
the differences and similarities among DM, and Business intelligence. How are
they related? (8)
6.
Define
neural networks. What does the technology & functions attempt to do?
Explain with neat examples.(16)
7.
Briefly
discuss about Decision Making Architecture (8)
8.
Explain
about Managing Knowledge Workers (10)
9.
Write
something about Role of the Internet (6)
10.
Write
about Data Management (8)
11. Briefly explain
about Knowledge Management Protocols
(6)
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