This course will enable the students to
Course |
Course outcomes
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Learning and teaching strategies |
Assessment Strategies |
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Course Code |
CourseTitle |
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25BLIS 102 |
Knowledge Organisation 1: Classification (Theory)
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The students will be able to- CO7: Explain the nature and attributes of universe of knowledge and Conceptualize the formation of subjects CO8: Assess the significance of theories, canons, principles of library classification and fundamental categories CO9: Elucidate various facets of notation and call number CO10: Compare and Contrast different species of library classification schemes CO11: Explore current trends in library classification CO12: Contribute effectively in course-specific interaction
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Approach in teaching: Interactive Lectures, Discussion, Presentations, Tutorials, Reading assignments, Demonstration, Team teaching
Learning activities for the students: Self-learning assignments, Effective questions |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignment, Presentation, Individual and group projects
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Nature of Knowledge: Exploring the fundamental characteristics and essence of knowledge, including its scope, structure, and dynamic nature.
Subject Analysis: Investigating the concept of subject in knowledge organization, including its meaning and various types such as basic, compound, and complex subjects.
Modes of Subject Formation: Examining different processes involved in subject formation, including lamination, loose assemblage, fission, dissection, denudation, fusion, and distillation.
Concept and Purpose: Exploring the concept, definition, and purpose of library classification, including its role in organizing and retrieving information resources within library collections.
Canons and Postulates: Examining the fundamental principles and guidelines that govern the process of library classification, ensuring consistency and coherence in the organization of knowledge.
Fundamental Categories: Identifying and understanding the basic categories used in library classification systems, including main classes, subclasses, and facets, and their significance in facilitating subject access.
Normative Principles: Analyzing the normative principles underlying library classification, including principles of hierarchy, specificity, consistency, and exhaustiveness, and their application in creating effective classification schemes.
Knowledge Classification: Exploring the principles and methodologies of knowledge classification, including the categorization of information resources based on subject content and intellectual organization.
Book Classification: Examining the application of classification systems specifically to books and other print materials, considering factors such as subject analysis, arrangement, and indexing.
Notation Systems: Investigating the meaning, necessity, and functions of notation in classification systems, including types of notation, qualities of effective notation, and its role in assigning call numbers.
Call Number Components: Analyzing the components of a call number, including book number, class number, and collection number, and understanding their significance in organizing and retrieving library materials.
Facet Analysis: Defining facet analysis and its role in subject analysis, including the principles of helpful sequence and the application of facet analysis in developing classification schemes.
Species of Classification Schemes: Exploring the various types of library classification systems utilized in organizing information resources, including their historical development and conceptual frameworks.
Dewey Decimal Classification (DDC): Examining the structure, principles, and application of the Dewey Decimal Classification system, including its hierarchical arrangement and numerical notation scheme.
Colon Classification (CC): Analyzing the Colon Classification system, including its distinctive features such as facet analysis, facet notation, and synthetic organization, and its relevance in organizing diverse subject matter.
Simple Knowledge Organization Systems (SKOS): Exploring the concept and applications of SKOS in organizing and managing knowledge resources, including its role in enhancing interoperability and semantic interoperability.
Automatic Classification: Investigating the automated methods and algorithms used in classification processes, including technologies such as machine learning and natural language processing, and their implications for improving efficiency and accuracy in knowledge organization.
Web Dewey: Analyzing the adaptation of the Dewey Decimal Classification system for web-based environments, considering its features, advantages, and challenges in online knowledge organization.
Folksonomies: Examining the concept of folksonomies as user-generated classification systems, exploring their characteristics, benefits, and limitations in organizing and retrieving information.
Steps in Library Classification: Understanding the nine-step process involved in library classification, including tasks such as subject analysis, class determination, and notation assignment, and their significance in creating effective classification schemes.