Database Design Fundamentals for Software Engineers Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course provides a hands-on introduction to database design fundamentals, guiding software engineers through core concepts of data modeling, relational schema design, and basic SQL operations. With approximately 7 hours of interactive learning, you'll build a solid foundation in database principles, from ER modeling to normalization and schema integrity. Each module combines concise theory with practical exercises, culminating in a capstone project that reinforces real-world design skills.

Module 1: Introduction to Databases

Estimated time: 1 hour

  • Definition of databases and their role in software systems
  • Limitations of file-based data storage
  • Core properties of databases: consistency, durability, and atomicity
  • Interactive exploration of dataset organization using console tools

Module 2: Entity-Relationship Modeling

Estimated time: 1.5 hours

  • Entity types, attributes, and key identifiers
  • Relationships and cardinality constraints
  • Weak entities and participation roles
  • Designing and interpreting ER diagrams

Module 3: Relational Data Model & Schema Design

Estimated time: 1 hour

  • Translating ER models into relational schemas
  • Selecting primary and foreign keys
  • Applying consistent naming conventions
  • Implementing constraints in relational tables

Module 4: Normalization Techniques

Estimated time: 1.5 hours

  • Understanding functional dependencies
  • First Normal Form (1NF) and atomic values
  • Second Normal Form (2NF) and partial dependency elimination
  • Third Normal Form (3NF) and removal of transitive dependencies

Module 5: Basic SQL Operations

Estimated time: 1 hour

  • Creating tables with CREATE TABLE
  • Performing INSERT, UPDATE, and DELETE operations
  • Executing simple SELECT queries for data retrieval

Module 6: Design Best Practices & Integrity

Estimated time: 1 hour

  • Enforcing referential integrity
  • Using constraints to maintain data accuracy
  • Evaluating design trade-offs in schema decisions

Module 7: Case Study & Quiz

Estimated time: 0.5 hours

  • Designing an end-to-end database for a mini-project
  • Applying ER modeling, normalization, and SQL implementation
  • Completing a comprehensive assessment quiz

Prerequisites

  • Familiarity with basic programming concepts
  • Understanding of fundamental data structures
  • No prior database experience required

What You'll Be Able to Do After

  • Model real-world systems using ER diagrams
  • Design normalized relational schemas to reduce redundancy
  • Translate conceptual models into functional database tables
  • Write and execute basic SQL commands for data manipulation
  • Apply constraints and integrity rules to ensure data consistency
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.