Day 1: Introduction to Robotics and EV3
Morning:

· We welcome and introduction to the course objectives and structure.

· Icebreaker activity to get to know each other.

· Overview of robotics and its applications in various fields.

· Introduction to LEGO Mindstorms EV3 kits and components.

Afternoon:

· Hands-on session: Building a basic robot using LEGO Mindstorms EV3.

· Introduction to the EV3 programming interface.

· Basic programming concepts (e.g., loops, conditions, sensors).

· Assignment: Program the robot to move forward and backward.

Day 2: Sensors and Navigation
Morning:

· Recap of previous day’s learning.

· Introduction to sensors: Touch sensor, color sensor, and ultrasonic sensor.

· Hands-on session: Connecting and testing different sensors with the robot.

Afternoon:

· Understanding sensor data and decision making.

· Programming the robot for navigation tasks using sensors.

· Assignment: Program the robot to follow a line or navigate through a maze.

Day 3: Introduction to Artificial Intelligence
Morning:

· Introduction to artificial intelligence and machine learning.

· Discussion on AI in robotics and its significance.

· Introduction to the concept of neural networks.

Afternoon:

· Hands-on session: Building a simple neural network using LEGO components.

· Introduction to EV3’s “My Blocks” for creating reusable code modules.

· Assignment: Program the robot to recognize and react to different colors using a neural network.

Day 4: Advanced AI Concepts
Morning:

· Recap of previous day’s learning.

· Introduction to more advanced AI concepts such as reinforcement learning and computer vision.

· Discussion on the ethical considerations of AI in robotics.

Afternoon:

· Hands-on session: Implementing computer vision with EV3 and LEGO components.

· Experimenting with reinforcement learning concepts using simple scenarios.

· Assignment: Program the robot to perform a task using reinforcement learning principles.

Day 5: Project Showcase and Competition
Morning:

· Finalize projects and presentations.

· Practice presentations and receive feedback.

Afternoon:

· Project showcase and competition among participants.

· Awards ceremony and closing remarks.

· Discussion on further learning opportunities and resources in robotics and AI.