Database Management
Class 12 Computer Science Interactive Learning Workbook: Master database concepts, relational data model, relations (tables), attributes (columns), tuples (rows), domains, degree and cardinality calculations, candidate keys, primary keys, alternate keys, foreign keys, referential integrity, and relational schema design across 10 structured modules.
Course Chapters & Learning Modules
Total 10 interactive modules with guided checkpoint challenges.
Module 1: Data, Databases and Everyday Information
Distinguish bare raw data from context-rich information, define the fundamental architecture of a database, and understand why structured data organization powers modern computing.
Module 2: Why Databases and Database Management Matter
Analyze the limitations of file-processing systems (redundancy and inconsistency), examine DBMS architecture, and understand centralized data governance.
Module 3: The Relational Data Model: Relations and Tables
Master the foundational Relational Data Model introduced by E.F. Codd: explore relations, attributes, tuples, and structural table representations.
Module 4: Attributes, Tuples, Domains and Table Shape
Calculate relation dimensions: calculate Degree (column count) and Cardinality (row count), define Attribute Domains, and enforce data type validity.
Module 5: Keys: Why Records Need Reliable Identification
Understand the necessity of relational keys: explore entity uniqueness, analyze why human names make poor keys, and discover single-attribute vs composite keys.
Module 6: Candidate Keys and Choosing a Primary Key
Define Candidate Keys, analyze the dual requirements of Uniqueness and Minimality, and evaluate criteria for selecting the optimal Primary Key.
Module 7: Primary Key: The Main Identifier
Explore the core properties of the Primary Key: absolute uniqueness, entity integrity (NOT NULL constraint), key stability, and single vs composite primary keys.
Module 8: Alternate Keys and Foreign Keys
Differentiate Alternate Keys from Foreign Keys, understand Referential Integrity, and master relationships between parent and child tables.
Module 9: Relational Design: Putting Tables and Keys Together
Design real-world relational schemas: separate entities into normalized tables, link them using primary/foreign key pairs, and enforce 1-to-many relationships.
Module 10: Review Lab: Read and Check a Relational Table
Synthesize all relational database concepts in an interactive review lab: calculate degree and cardinality, verify candidate/primary/alternate/foreign keys, and master the comprehensive Checkpoint Exam.
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