Week 5: Advanced Sensing and Data Interpretation

  • Sensing the Environment: Advanced Sensor Integration
  • Deep dive into ultrasonic, infrared, and line sensors
  • Using multiple sensors for more complex behavior (sensor fusion)
  • Programming Arduino to interpret sensor data for real-time decision making

Week 4: Robot Assembly & Bluetooth Control

  • Robot Control: Designing and Assembling a Basic Robot
  • Introduction to robot chassis design and motor selection
  • Assembling motors, wheels, and structure
  • Integrating the Bluetooth module for wireless control

Week 3: Bluetooth Communication & Sensor Basics

  • Bluetooth Basics: Wireless Communication
  • Introduction to Bluetooth technology and applications in robotics
  • Working with Bluetooth modules (HC-05/HC-06)
  • Connecting Bluetooth module to Arduino and sending/receiving data
  • Sensing the Environment: Basics of Sensors
  • Types of sensors: ultrasonic, infrared, line sensors
  • How sensors work and their importance in robotics
  • Connecting and reading data from sensors using Arduino

Week 2: Microcontroller Mastery Continued & Electronics Fundamentals

  • Arduino Deep Dive
  • Exploring different Arduino boards and shields
  • Understanding digital vs. analog I/O
  • Writing and uploading simple programs to Arduino
  • Electronics Essentials: Basics of Circuitry
  • Introduction to voltage, current, and resistance
  • Overview of resistors, capacitors, LEDs, and motors
  • Basic circuit design and using a breadboard for prototyping

Week 1: Introduction to Robotics & Microcontroller Basics

  • Robo Basics: What is Robotics?
  • Definition and history of robotics
  • Types of robots and applications
  • Basic components of a robot (sensors, actuators, controllers)
  • Microcontroller Mastery: Getting Started with Arduino
  • Overview of the Arduino platform
  • Arduino IDE setup and basic programming
  • Introduction to Arduino Uno and its components

Week 4: Advanced Concepts and Problem-Solving

  • Sorting and Searching Algorithms
  • Sorting Techniques: Bubble Sort, Merge Sort, Quick Sort
  • Searching Techniques: Linear Search, Binary Search
  • Analysis of Time Complexity for Sorting and Searching
  • Practical Applications
  • Dynamic Programming and Recursion
  • Fundamentals of Recursion: Concept, base case, and recursive relations
  • Introduction to Dynamic Programming: Overlapping subproblems and memoization
  • Solving classic DP problems: Fibonacci series, 0/1 Knapsack
  • Problem-solving exercises

Week 3: Non-Linear Data Structures

  • Trees
  • Basics of Trees: Binary Trees, Binary Search Trees
  • Tree Traversal Methods: In-order, Pre-order, Post-order, Level-order
  • Applications of Trees: Expression Trees, Decision Trees
  • Hands-on Practice
  • Graphs
  • Introduction to Graphs: Types, Terminologies
  • Graph Representation: Adjacency Matrix, Adjacency List
  • Basic Graph Algorithms: BFS, DFS
  • Real-world Applications

Week 2: Linked Lists

  • Introduction to Linked Lists: Singly, Doubly, and Circular Linked Lists
  • Operations: Insertion, Deletion, Traversal, Reversal
  • Real-life applications of Linked Lists
  • Hands-on Problems

Week 2: Linear Data Structures

  • Stacks and Queues
  • Understanding Stacks: LIFO operations, applications
  • Understanding Queues: FIFO operations, types of queues
  • Implementation using Arrays and Linked Lists
  • Practical Problems

Week 1 : Arrays and Strings

  • Overview of Arrays: Definition, operations, and use cases
  • Common Array Problems
  • Introduction to Strings: Basic operations and pattern matching
  • Practical Exercises
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