Robotics - Class 6-12

8000(25 hours)

  • Introduction to Robotics:
    • History of robotics
    • Basic concepts and definitions
    • Types of robots
    • Applications of robotics in various fields
  • Mechanical Design:
    • Components of robots (sensors, actuators, controllers, etc.)
    • Designing robot structures (chassis, arms, grippers)
    • Degrees of freedom and kinematics
  • Electronics and Electrical Circuits:
    • Basics of electricity and circuits
    • Sensors and actuators
    • Microcontrollers (like Arduino or Raspberry Pi)
    • Introduction to soldering and assembling electronic components
  • Programming and Software:
    • Introduction to programming concepts
    • Programming languages used in robotics (such as Python, C/C++, Scratch for younger students)
    • Software tools for design and simulation
  • Robot Control:
    • Open loop vs. closed loop control
    • Use of different algorithms for movement and path planning
  • Sensors and Signal Processing:
    • Types of sensors (ultrasonic, infrared, touch, light, etc.)
    • Data acquisition and processing
    • Interfacing sensors with microcontrollers
  • Actuators and Movement:
  • Robotics in Real World:
    • Industrial robots
    • Service robots
    • Medical and assistive robots
    • Unmanned vehicles (land, air, and water)
  • Safety and Ethics in Robotics:
    • Safe design and operation of robots
    • Ethical considerations in the use of robots (privacy, job displacement, etc.)
  • Hands-On Projects and Competitions:
    • Designing, building, and programming a simple robot
    • Working in teams to solve challenges
    • Participation in robotics competitions like RoboCup, World Robot Olympiad (WRO), or FIRST LEGO League (FLL)
  • Emerging Technologies:
    • Artificial Intelligence (AI) and Machine Learning (ML) in robotics
    • Human-robot interaction
    • Internet of Things (IoT) and robotics
  • Career Opportunities in Robotics:
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Programming course Classes 6-12

8000(30 hours)

    1. Secondary Level (Classes 9 and 10):
      • Understanding Computer Systems and Software
      • Introduction to Object-Oriented Programming Concepts
      • Basics of Java Programming (syntax, data types, variables, operators)
      • Control Statements (if, if-else, switch, loops)
      • Introduction to Classes and Objects
      • Basic Input and Output
      • Simple Programs focusing on aforementioned concepts
    2. Senior Secondary Level (Classes 11 and 12):
      • Review of OOP Concepts in Java (Classes, Objects, Constructors, methods)
      • Data Structures: Arrays, Strings
      • Inheritance and Polymorphism
      • Interfaces and Abstract Classes
      • Exception Handling
      • File Handling and I/O Streams
      • Collections Framework (may be introduced)
      • Basic GUI programming with AWT/Swing (if part of the syllabus)
      • Applet Programming (though applets are largely deprecated)
      • Event Handling and Layouts
      • Multithreading (basic introduction)
      • Networking (basic concepts if included in the curriculum)
      • Database connectivity through JDBC (if included in the curriculum)
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Python programming classes 6-12

8000(40 hours)

    1. Grade 11:

      1. Getting Started with Python
        • Introduction to Python
        • Basic concepts: Variables, Data Types, Operators
      2. Flow of Control
        • Conditional statements (if, if-else, if-elif-else)
        • Looping (for and while loops)
      3. Functions
        • Defining and calling functions
        • Passing parameters and returning values
        • Recursion
      4. Data Handling
        • Lists
        • Tuples
        • Dictionaries
        • Strings
      5. File Handling
        • Reading from and writing to files
        • Understanding file operations and modes
        • Using with block for resource management
      6. Exception Handling
        • Try-except block
        • Handling multiple exceptions
        • finally block
    2. Grade 12:

      1. Data Structures
        • Stacks and Queues
        • Linked Lists (in some cases introduced)
        • Trees and Graphs (basic overview)
      2. Object-Oriented Programming
        • Classes and Objects
        • Inheritance
        • Polymorphism
        • Encapsulation and Abstraction
      3. Databases and SQL
        • Introduction to DBMS
        • Basic SQL queries
        • Connecting Python with databases
      4. Boolean Algebra
        • Binary numbers and operations
        • Boolean functions and gates
      5. Networking with Python
        • Basics of networking
        • Creating simple network applications
      6. Web Development (optional)
        • Introduction to web frameworks such as Flask or Django
        • HTML/CSS basics, and integrating with Python
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