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Tribhuvan university CSIT 2074 Syllabus Decision Support System and Expert System

Decision Support System and Expert System - Syllabus

Course Overview and Structure
Syllabus Notes Old Questions Unit Wise Questions Question Bank

Embark on a profound academic exploration as you delve into the Decision Support System and Expert System course (DSS) within the distinguished Tribhuvan university's CSIT department. Aligned with the 2074 Syllabus, this course (CSC469) 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 is a study uses of artificial intelligence in business decision making. Emphasis will be given in business decision making process, design and development of decision support systems and expert systems.

Course Objectives:

    • Introduce intelligent business decision making

    • Discuss design, development and evaluation of DSS Systems

    • Discuss various models of building DSS systems

    • Explain Concept behind expert systems

Units

Key Topics

  • Management Support Systems
    DE-1.1

    Overview of management support systems, including managerial decision-making and information systems, computerized decision support, and supporting technologies.

  • Decision Support Systems
    DE-1.1.1

    Concept of decision support systems, including group support systems, enterprise information systems, knowledge management systems, and expert systems.

  • Advanced Intelligent Decision Support Systems
    DE-1.1.2

    Overview of advanced intelligent decision support systems, including artificial neural networks and hybrid support systems.

  • Decision-Making Systems
    DE-1.2

    Introduction to decision-making systems, including models, phases of the decision-making process, and decision-making styles.

  • Decision-Making Process
    DE-1.2.1

    Phases of the decision-making process, including intelligence, design, choice, and implementation.

  • Decision-Making Styles
    DE-1.2.2

    How decisions are supported, including personality types, gender, human cognition, and decision styles.

Key Topics

  • Designing Databases
    DE-1

    This topic covers the fundamentals of designing databases, including the relational database model, normalization, and transforming E-R diagrams into relations.

  • Designing Forms and Reports
    DE-2

    This topic focuses on designing forms and reports, including formatting and assessing usability to create effective user interfaces.

  • Designing Interfaces and Dialogues
    DE-3

    This topic explores the design of interfaces and dialogues, including interaction methods and devices, and designing interfaces and dialogues in graphical environments.

  • Implementation Issues
    DE-4

    Addressing common challenges and considerations that arise during the implementation phase of software development.

Key Topics

  • Introduction to Knowledge Management
    KN-1

    This topic provides an overview of knowledge management, its importance, and its relevance in organizations.

  • Organizational Learning and Transformation
    KN-2

    This topic explores the role of knowledge management in organizational learning and transformation, and how it can lead to improved performance and competitiveness.

  • Knowledge Management Initiatives
    KN-3

    This topic discusses various initiatives that organizations can undertake to manage knowledge effectively, including knowledge sharing, documentation, and innovation.

  • Approaches to Knowledge Management
    KN-4

    This topic presents different approaches to knowledge management, including codification, personalization, and hybrid approaches.

  • Information Technology in Knowledge Management
    KN-5

    This topic examines the role of information technology in supporting knowledge management, including the use of knowledge management systems, artificial intelligence, and other digital tools.

  • Knowledge Management Systems Implementation
    KN-6

    This topic provides guidance on implementing knowledge management systems, including the design, development, and deployment of such systems.

  • Roles of People in Knowledge Management
    KN-7

    This topic discusses the various roles that people play in knowledge management, including knowledge creators, knowledge sharers, and knowledge users.

  • Ensuring Success of Knowledge Management
    KN-8

    This topic offers strategies and best practices for ensuring the success of knowledge management initiatives, including change management, communication, and evaluation.

Key Topics

  • Introduction to E-commerce
    IN-1

    Overview of E-commerce and its significance in the digital age.

  • E-business vs E-commerce
    IN-2

    Understanding the differences between E-business and E-commerce.

  • Features of E-commerce
    IN-3

    Key characteristics and benefits of E-commerce.

  • Pure vs Partial E-commerce
    IN-4

    Types of E-commerce models and their applications.

  • History of E-commerce
    IN-5

    Evolution and development of E-commerce over time.

  • E-commerce Framework
    IN-6

    Understanding the components of E-commerce framework including People, Public Policy, Marketing and Advertisement, Support Services, and Business Partnerships.

  • Types of E-commerce
    IN-7

    Overview of different types of E-commerce including B2C, B2B, C2B, C2C, M-Commerce, U-commerce, Social-Ecommerce, and Local E-commerce.

  • Challenges in E-commerce
    IN-8

    Common obstacles and difficulties faced in E-commerce.

Lab works

 Student should study some widely used decision support systems and expert systems. Besides, student need to develop decision support systems or expert systems as a miniproject.