Module 1
Introduction to Algorithmic Thinking
What is algorithmic thinking, and why is it important?
Understanding problems and breaking them into steps.
Real-life examples of algorithmic solutions.
Module 2
Basics of Algorithms
Key components: Input, process, output.
Writing pseudocode and flowcharts for problem-solving.
Understanding control structures: Sequence, selection, and iteration.
Module 3
Problem Decomposition
Breaking down complex problems into smaller tasks.
Identifying patterns and repetition in problems.
Designing reusable solutions through modular thinking.
Module 4
Efficiency in Algorithms
Understanding time and space complexity basics.
Optimizing solutions for speed and resource usage.
Analyzing trade-offs in algorithm design.
Module 5
Application of Algorithmic Thinking
Solving puzzles and logical problems.
Algorithm design in real-world contexts: Sorting, searching, and routing.
Building step-by-step solutions for common scenarios.
Module 6
Advanced Concepts and Practice
Introduction to recursion and its applications.
Using algorithms in coding and automation.
Hands-on practice with various algorithm challenges.
