Embedded Systems Courses

Course syllabus

1. Module 1 — Programming Basics & Embedded C

   • Introduction to C Programming
   • Tokens, Keyword, Identifier, Constants,
   • Conditional Statements, If Else, Switch Case
   • Loops
   • For Loop
   • While Loop
   • Do While Loop
   • Loop Control Statements
   • Break
   • Continue
   • GoTo
   • Arrays, Pointers, Functions
   • Scope, Global & Local variables
   • String & String Functions
   • Structures & Union
   • Memory Layout, Dynamic Memory Allocation
   • File handling
   • Project
2. Module 2 — Microcontrollers & Peripherals

   • Introduction To PIC18F4580 Controller :
   • Architecture
   • IDE
   • Compiler
   • GPIO Control
   • Motor Driver
   • LCD 16*2
   • Matrix Keypad
   • Timers
   • Capture, Compare & PWM
   • ADC
   • UART
   • Interrupt
   • Project
3. Module 3 — ATMEGA32 Controller, Architecture, IDE, Compiler

   • GPIO Control
   • Motor Driver
   • LCD 16*2
   • Matrix Keypad
   • Timers
   • Capture, Compare & PWM
   • ADC
   • UART
   • Interrupt
   • Project
4. Module 4 — Industry Ready ARM Cortex Microcontroller with RTOS

   • Introduction To STM32(ARM Cortex M7, M4 & M0) Controller:
   • Architecture
   • IDE
   • Compiler
   • GPIO Control
   • Motor Driver
   • Timers
   • PWM
   • ADC
   • DAC
   • UART
   • DMA
   • Interupt
   • Project
5. Module 5 — FreeRTOS with STM32

   • Introduction And Configuration
   • TASK
   • MUTEX
   • Queue,Task Deletion, Task Argument
   • Binary Semaphore , Counting Semaphore
   • Interrupt & Task
6. Module 6 — Embedded Wired Communication Protocols

   • I2C
   • SPI
   • CAN
   • USB
   • Ethernet
7. Module 7 — Embedded IoT

   • Introduction to Arduino & IoT
   • Arduino, ESP32 , Motor & Sensors
   • MQTT, Adafruit IO
   • HTTP, Thingspeak & Firebase
   • Bluetooth, BLE & Zigbee
   • GSM
   • GPS
   • WiFi
   • Project
8. Module 8 — Embedded Python & SBC

   • Python
   • Raspberry Pi
   • GPIO Control
   • UI Making
   • Web Interface
   • Embedded Linux & Driver Development
   • Advanced Embedded System
   • Introduction & Basic Linux Commands
   • Shell Script
   • C Programming , Compiling & Make files
   • LKM
   • Character Drivers
9. Module 9 — Final Project & Industry Readiness

   • PCB Design
   • Final Project

Course syllabus

1. Module 1 — Introduction

   • VLSI And Its Applications
   • VLSI Design Flow
   • Moore's Law And Its Influence In VLSI
   • Transistors Used In Technology
2. Module 2 — Digital Logic Design

   • Boolean Algebra
   • Combinational Logic Circuits
   • Sequential Logic Circuits
   • Finite State Machines (Mealy & Moore)
3. Module 3 — CMOS Technology

   • CMOS Inverter
   • CMOS Logic Gates: Nand, NOR, XOR, Etc
   • Design Of Combinational Logic Gates
   • Designing Sequential Logic Circuits
   • Fabrication Techniques
4. Module 4 — Design For Testability (DFT)

   • Fault Modeling Techniques
   • Test Pattern Generation
   • Design for Testability
   • Testing Tools and Software
5. Module 5 — VHDL - Language And Coding For Synthesis

   • Design Flow
   • EDA Tools
   • Translation Of VHDL Code Into A Circuit.
   • Fundamental VHDL Units
   • Language Constructs, Data Types
   • Design Styles
   • Behavioral Modeling, Dataflow Modeling
   • Structural Modeling
   • Generics And Configurations
   • Subprograms And Overloading
   • Packages And Libraries
   • Advanced Features Of VHDL
   • Test Bench Design And Coding
   • Synthesis Issues
6. Module 6 — VERILOG

   • Overview Of Digital Design With Verilog HDL
   • Hierarchical Modeling Concepts
   • Basic Concepts
   • Gate-Level Modeling
   • Dataflow Modeling
   • Behavioral Modeling
   • Verilog Test Fixture:Test Bench Coding For Different Examples
7. Module 7 — HDL And RTL Design

   • Hardware Description Languages: VHDL And Verilog Syntax And Semantics.
   • RTL Design And Simulation: Writing And Simulating RTL Code.
   • Synthesis And Timing Analysis: From RTL To Gate-Level Netlist.
   • FPGA Prototyping: Basics And Implementation On FPGA Boards.
   • FPGA Boards: Spartan-6
   • FPGA Software: Xilinx, Xilinx Vivado
8. Module 8 — Communication Protocols

   • SPI
   • I2C
   • UART
   • AMBA
9. Module 9 — Verification

   • System Verilog for Verification
   • Data Types
   • Arrays
   • Data Declarations
   • Attributes
   • Operators and Expressions
   • Procedural Statements
   • Processes
   • Tasks and Functions
   • Classes
   • Randomization & Constraints
   • IPC
   • Assertions
   • Coverage
   • Array Manipulation Methods
   • The Universal Verification Methodology(UVM)
   • Introduction
   • UVM Testbench Components
   • UVM Test Bench examples
10. Module 10 — Physical Design and EDA Tools

    • Floor planning and Partitioning
    • Placement and Routing
    • Clock Tree Synthesis (CTS)
    • Static Timing Analysis (STA)
    • Physical Verification
    • EDA Tools Overview
11. Module 11 — Advanced VLSI

    • Low Power Design
    • System-on-Chip (SoC) Design
    • Application Specific integrated Circuits(ASICS)
    • Latest Technologies
12. Module 12 — AI Transforming VLSI Design Techniques

    • Smarter Design Automation
    • Power Optimization for Chips
    • Enhanced Verification and Testing
    • Chiplet Design and Scalability
13. Module 13 — Practices and Project Work

    • VLSI Design Project
    • HDL Coding And Simulation
    • FPGA Prototyping
    • System Verilog Test Bench
    • Physical Design

Course syllabus

1. Module 1 — Introduction to Robotics

   • What is a robot
   • Types of robots
   • Industrial robotics
   • Service robotics
   • Autonomous robots
   • Robot subsystems
2. Module 2 — Basic Electronics

   • Voltage, current, resistance
   • Ohm's law
   • Digital vs analog signals
   • Sensors vs actuators
   • Power supplies
   • Signal conditioning
3. Module 3 — Electrical Components

   • Resistors
   • Capacitors
   • Inductors
   • Diodes
   • Transistors
   • MOSFET switching
4. Module 4 — C Programming for Embedded Systems

   • Data types
   • Operators
   • Control statements
   • Loops
   • Functions
   • Arrays
   • Pointers
   • Structures
5. Module 5 — Embedded C Application Concepts

   • Memory mapping
   • Interrupts
   • Timers
   • UART communication
   • SPI communication
   • I2C communication
6. Module 6 — Microcontroller Architecture

   • CPU
   • Memory
   • GPIO
   • ADC
   • PWM
   • Timers
   • Interrupts
7. Module 7 — Arduino Programming

   • Introduction to Arduino
   • Digital I/O
   • Analog inputs
   • PWM control
   • Serial communication
   • Interrupts
8. Module 8 — Sensor Interfacing

   • Ultrasonic distance sensor
   • Infrared sensors
   • Gas sensors
   • Vibration sensors
   • Temperature sensors
   • Accelerometer
   • Gyroscope
9. Module 9 — Mechanical Design Concept

   • Robot structure
   • Frames
   • Links
   • Joints
   • Degrees of Freedom (DOF)
   • Payload considerations
   • Robot stability
10. Module 10 — Actuators and Motion Systems

    • DC motors
    • Servo motors
    • Stepper motors
    • Linear actuators
11. Module 11 — Mathematical Modeling of Robot Motion

    • Coordinate frames
    • Transformation matrices
    • Forward kinematics
    • Inverse kinematics
12. Module 12 — CAD Design (SolidWorks)

    • Sketching
    • Part design
    • Assembly design
    • Constraints
    • Motion simulation
13. Module 13 — 3D Printing

    • Introduction to additive manufacturing
    • FDM 3D printing technology
    • 3D printer components
    • STL file generation
    • Slicing software (Cura / PrusaSlicer)
14. Module 14 — Control Systems for Robotics

    • Open-loop control
    • Closed-loop control
    • Feedback systems
15. Module 15 — Linux Fundamentals

    • Linux architecture
    • Terminal commands
    • File system
    • Process management
    • SSH
    • Networking
    • Shell scripting
16. Module 16 — Python Programming

    • Variables
    • Control structures
    • Functions
    • Classes
    • Modules
    • File handling
17. Module 17 — Python Libraries for Robotics

    • NumPy
    • Serial communication
    • Image processing
18. Module 18 — Raspberry Pi Topics

    • OS installation
    • GPIO programming
    • Sensor interfacing
    • Camera module
    • Serial communication
    • WiFi networking
19. Module 19 — Robotics Applications

    • Camera streaming
    • Robot control via web
    • Edge computing
20. Module 20 — IoT Fundamentals

    • What is IoT
    • IoT architecture
    • Edge vs cloud computing
21. Module 21 — Communication Protocols

    • MQTT
    • HTTP REST APIs
    • WebSockets
    • Modbus TCP
    • OPC-UA (for industrial robots)
22. Module 22 — IoT Hardware Platforms

    • ESP32
    • Raspberry Pi
    • Industrial edge gateways
23. Module 23 — IoT Cloud Platforms

    • AWS IoT/Firebase
    • Adafruit IO
24. Module 24 — Data Collection & Monitoring

    • Sensor data acquisition
    • Telemetry streaming
    • Edge data processing
25. Module 25 — Robot Cloud Control

    • Remote robot control
    • Robot health monitoring
    • OTA updates
26. Module 26 — Security

    • TLS encryption
    • Device authentication
    • Secure communication
27. Module 27 — IoT Robotics Applications

    • Remote robot monitoring
    • Fleet management
    • Predictive maintenance
    • Industrial machine monitoring
28. Module 28 — Image Processing

    • Image fundamentals
    • Color spaces
    • Filtering
    • Edge detection
    • Object tracking
29. Module 29 — Object Detection

    • YOLO Framework
30. Module 30 — Camera Systems

    • Camera calibration
    • Stereo vision
    • Depth sensors
31. Module 31 — ROS 2 Robotics

    • ROS 2 Humble
32. Module 32 — ROS2 Architecture

    • Nodes
    • Topics
    • Publishers
    • Subscribers
    • Services
    • Actions
33. Module 33 — ROS2 Development

    • Creating packages
    • Launch files
    • Parameter server
    • Message types
34. Module 34 — Robot Modeling

    • URDF
35. Module 35 — Robot Simulation

    • Gazebo
36. Module 36 — Simulation Topics

    • Physics simulation
    • Robot controllers
    • Sensor simulation
    • Environment modeling
37. Module 37 — Visualization

    • RViz
38. Module 38 — Localization

    • Simultaneous Localization and Mapping
39. Module 39 — Navigation Algorithms

    • A* path planning
    • Dijkstra algorithm
    • Obstacle avoidance
40. Module 40 — Motion Planning for Robotic Arms

    • MoveIt

Course syllabus

1. Module 1 — IoT Fundamentals

   • IoT architecture
   • Sensors & actuators
   • Protocols overview
2. Module 2 — Embedded Programming (ESP32)

   • Core:
   • ESP32 architecture
   • GPIO programming
   • Digital input/output
   • Advanced:
   • ADC (analog sensor reading)
   • PWM (motor/LED control)
   • Interrupts
   • Timers
   • FreeRTOS basics (tasks, scheduling)
3. Module 3 — IoT Communication

   • Networking:
   • IP address, ports
   • Client-server model
   • Protocols:
   • HTTP
   • REST APIs
   • JSON data format
   • MQTT (broker, topics, QoS)
4. Module 4 — Backend Development

   • Core:
   • Node.js fundamentals
   • Event-driven architecture
   • Express framework
   • API Design:
   • RESTful APIs
   • Routing
   • Middleware
   • Error handling
5. Module 5 — Database & Storage

   • Concepts:
   • SQL vs NoSQL
   • Data modeling for IoT
   • Time-series data
   • Tools:
   • Firebase / MongoDB
   • AWS
6. Module 6 — Web Development (Frontend)

   • HTML:
   • Structure
   • Semantic tags
   • Forms
   • CSS:
   • Box model
   • Flexbox
   • Grid
   • Responsive design
   • JavaScript:
   • DOM manipulation
   • Events
   • Fetch API
7. Module 7 — Frontend + Backend Integration

   • Topics:
   • API consumption
   • Async/await
   • Error handling
   • Authentication:
   • JWT tokens
   • Session handling
8. Module 8 — Real-Time IoT Dashboard

   • Concepts:
   • Polling vs real-time
   • WebSocket
   • Socket.io
   • Visualization:
   • Chart.js
   • Real-time graphs
9. Module 9 — IoT Security

   • Device Security:
   • Secure credentials storage
   • Firmware protection
   • Network Security:
   • HTTPS vs HTTP
   • TLS basics
   • API Security:
   • Authentication (JWT)
   • Authorization
   • Rate limiting
   • Web Security:
   • CORS
   • Input validation
   • XSS basics
10. Module 10 — Data Pipeline & Analytics

    • Concepts:
    • Data pipeline architecture
    • Batch vs real-time processing
    • Edge vs cloud analytics
    • Tools:
    • Python
    • Pandas
    • Analytics:
    • Data cleaning
    • Aggregation
    • Trend analysis
    • Visualization:
    • Matplotlib
11. Module 11 — AI/ML for IoT

    • Python for AI
    • Python basics for data processing
    • Working with datasets (CSV, JSON)
    • Introduction to libraries: Pandas, NumPy
    • Data Preparation
    • Data loading and cleaning
    • Handling missing values
    • Feature selection
    • ML Basics
    • Supervised learning
    • Training vs prediction
    • Basic model evaluation (accuracy concept)
    • Models
    • Linear Regression (prediction)
    • Classification (basic)
    • Anomaly detection (threshold-based)
    • IoT Integration
    • Using real sensor data for training
    • Running predictions on IoT data
    • Sending prediction results to backend/dashboard
12. Module 12 — Final Project

    • Design and develop a complete AIoT system
    • Integrate ESP32, sensors, backend, database, and web dashboard
    • Implement real-time data visualization
    • Apply data analytics and basic ML (prediction/anomaly detection)
    • Ensure secure communication and API access