The course will enable the students to
Course Outcomes (COs):
Learning Outcome (at course level) | Learning and teaching strategies | Assessment Strategies |
The students will: CO 116.Apply the concepts of database into real-world scenario. CO 117.Analyze database requirements, identify the entities involved in the system and determine their relationship to one another. CO 118.Develop the logical design of the database using data modeling concepts and deduce into relational schema. CO 119.Learn and apply Structured Query Language (SQL) for database definition and database manipulation. CO 120.Create database for any application using normalization prinicples.
| Interactive Lectures, Discussion, Tutorials, reading assignments, Demonstrations, G-suite. Self-learning assignments, Effective questions, Simulation, Seminar presentation | Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
Data Processing Fundamentals: Introduction, Data, Information and Data Processing, Data structure, Need for Data Processing, Data Processing Cycle, Methods of Data Processing, Applications of Data Processing, Advantages and Disadvantages of Electronic Data Processing.
File structure: Files, Logical and physical file, Basic File Operations, Types of File Organizations (Unordered or heap or serial files, Ordered or sequential file, Hash file, Indexed Sequential, Direct access and Random files).
Introduction: Database, Database System Applications, Database Systems versus File Systems, Purpose of Database Systems, View of Data, Database Languages, Relational Databases, Database Design, Data Storage and Querying, Database Architecture, Data Mining and Information Retrieval, Specialty Databases, Database Users and Administrators, History of Database Systems.
Entity-Relationship Model: Basic concepts, Constraints, Removing Redundant Attributes in Entity Sets, Reduction to Relational Schemas, ER-Design Issues, E-R diagram, Weak Entity Sets.
Relational Model: Structure, Database Schema, Keys, Schema Diagrams, Relational Operations.
Introduction to SQL: SQL Data Definition, Basic Structure, Additional Basic Operations, Set Operations, Null Values, Aggregate Functions, Modification of the Database. Intermediate SQL: Join Expressions, Views, Transactions, Integrity Constraints, SQL Data Types and Schemas, Authorization, Roles.
Relational-Database Design: First Normal Form, Pitfalls in Relational-Database Design, Functional Dependencies, Decompositions, Third Normal Forms, Boyce-Codd Normal Form.