Knowledge Management - Syllabus

Course Overview and Structure

Embark on a profound academic exploration as you delve into the Knowledge Management course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2074 Syllabus, this course (CSC322) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60 + 20 + 20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.


Course Description: This course introduces fundamental concept of knowledge and different l

issues in managing the knowledge.


Course Objective: This course enables to learn about the Evolution of Knowledge management,

be familiar with tools, be exposed to applications, and be familiar with some case studies.


Units

Key Topics

  • Search Structures
    UN-1.2.1

    Review of search structures including heaps, balanced trees, and hash tables.

  • Introduction to Knowledge Management
    UN-1.1.1

    This topic introduces the foundations of knowledge management, its multidisciplinary nature, and its cultural and technological aspects.

  • Decision Support Systems
    UN-1.1.2

    This topic covers the phases of decision making, components of decision support systems, and group decision support systems.

  • Challenges in Knowledge Management
    UN-1.2.2

    This topic discusses the key challenges facing the evolution of knowledge management, including security, technology, motivation, and data accuracy.

  • Ethics and Intellectual Property in KM
    UN-1.2.3

    This topic covers the ethics of knowledge management research, intellectual property rights, and the importance of ethical considerations in knowledge management.

Key Topics

  • E-readiness
    UN-1

    E-readiness refers to the state of preparedness of a country or organization to participate in the digital economy. It involves assessing the availability and quality of digital system infrastructure, legal frameworks, institutional arrangements, human resources, and technological capabilities.

  • Evolutionary Stages in E-Governance
    UN-2

    The evolutionary stages in e-governance refer to the different phases of development and implementation of e-governance initiatives, from basic online presence to integrated and transformative e-governance systems.

  • Internetworking
    UN-3

    Bridges and routers in distributed networking, enabling communication between different networks.

  • Internet Design and Evolution
    UN-4

    History and development of the internet, including its design principles and evolution over time.

  • Data Cubes
    UN-5

    A multidimensional representation of data, where each dimension represents a different aspect of the data, used for fast querying and data analysis.

  • Schemes for Multidimensional Database
    UN-6

    Different schemes used to design and implement multidimensional databases, including Stars, Snowflakes, and Fact Constellations.

  • Stars
    UN-7

    A type of multidimensional database scheme, characterized by a central fact table surrounded by dimension tables.

  • Snowflakes
    UN-8

    A type of multidimensional database scheme, characterized by a central fact table surrounded by multiple levels of dimension tables.

  • Fact Constellations
    UN-9

    A type of multidimensional database scheme, characterized by multiple fact tables connected by dimension tables.

  • Quality Assurance
    UN-10

    This topic explores the importance of quality assurance in knowledge management, including knowledge audits and gap analysis.

  • Knowledge Audit
    UN-11

    This topic discusses the process of conducting a knowledge audit, including identifying knowledge gaps and opportunities.

  • Gap Analysis
    UN-12

    This topic covers the process of conducting a gap analysis, including identifying knowledge gaps and opportunities.

  • KM Metrics
    UN-13

    This topic explores the importance of metrics in knowledge management, including the balanced scorecard method and the house of quality method.

  • The Balanced Scorecard Method
    UN-14

    This topic covers the balanced scorecard method for measuring knowledge management performance.

  • The House of Quality Method
    UN-15

    This topic explores the house of quality method for measuring knowledge management performance.

Key Topics

  • Turing Machines
    UN-3.1.1

    Introduction to Turing Machines, including their basic concept and computation process.

  • Variants of Turing Machines
    UN-3.1.2

    Exploration of different variants of Turing Machines, including their characteristics and applications.

  • Church's Thesis and Algorithm
    UN-3.2.1

    Explanation of Church's Thesis and its significance in the theory of computation, including the concept of algorithm.

  • Universal Turing Machines
    UN-3.2.2

    Study of Universal Turing Machines, including their properties and capabilities.

  • Halting Problems
    UN-3.2.3

    Discussion of the Halting Problem, including its definition, significance, and implications.

Unit 4. Components of a Knowledge Strategy - Case Studies (From Library to Knowledge Center, Knowledge Management in the Health Sciences, Knowledge Management in Developing Countries)

Unit 5: Advanced topics and case studies in knowledge management - Development of a knowledge management map/plan that is integrated with an organization's strategic and business plan - A case study on Corporate Memories for supporting various aspects in the process life -cycles of an organization.

Lab works

Laboratory Works:

Upon completion of the course, the student should be able to:

  • Use the knowledge management tools.
  • Develop knowledge management Applications (Social network analysis, document      management).
  • Design and develop enterprise applications (Aggregation, E-Learning)