Embedded & Automotive System with AI

Semester-wise Duration – 60 Hrs/75 Hrs per ( 300 Hrs )

Program Objective:

Embedded & Automotive Systems with AI equips learners to design
intelligent embedded applications and understand key automotive
protocols and electronics. Students gain hands-on experience with
microcontrollers, RTOS, device drivers, and industry-standard
embedded C (MISRA-C).

With a focus on project-based learning and tools like ARM,
FreeRTOS, Qt, and MATLAB/Simulink, the program prepares
students for cross-functional engineering roles which enhances the
employability of a student.

Program Structure

Semester 3: Competitive Programming using C & DSA
  • Mastering C Programming
  • Data Structures and Algorithms for Problem solving in C
Semester 4: Object-Oriented Programming
  • Mastering OOP and Data Structures using C++
  • Embedded C programming following MISRA-C Guidelines
Semester 5: Embedded Systems Programming
  • Embedded Protocols and Peripheral driver development with ARM Cortex-M
  • Linux System Programming
Domain Specialization : Embedded AI and Automotive Systems Semester 6: RTOS, Embedded AI and Automotive Systems
  • Embedded RTOS (FreeRTOS) Firmware Programming
  • Embedded AI and Edge Intelligence
  • Automotive Electronics Foundations
Semester 7: Qt, MBD and Experiential Project Based Learning
  • Qt Application Development for Automotive system
  • Model based Design using MATLAB & Simulink
  • Experiential Project based Learning
    • A prototype embedded System development using LPC1768 and KEIL IDE
Self-Learning (Recorded Sessions) Modules
  • Electronics and Hardware Familiarization
  • Basics of Python Programming

Program Outcomes

  • Build strong programming foundations in C, C++, Embedded C, and Linux system programming, aligned with industry standards like MISRA-C.
  • Design and develop embedded systems using ARM Cortex-M, integrating RTOS, peripheral drivers, embedded protocols, and AI-based edge computing.
  • Apply skills in model-based design, Qt application development, and automotive electronics to create and deploy complete embedded system prototypes through hands-on, project-based learning

Experiential Project Based Learning:

Embedded Linux with Pi & Sensors

Project streams

Core Programming
  • Application development based on Data Structure (Eg: Flood fund releasing data, cyber management systems, Bank management system, contact management system)
  • A concurrent server to replicate a chat application using socket programming.
Embedded Systems
  • Multi-Peripheral Integration Project (Combining GPIO, UART, SPI, I2C)
  • Real-Time Data Acquisition using ADC & DMA
  • Wireless Communication using LPC1768 + GSM/Bluetooth/Wi-Fi Modules
  • Automated Sensor Data Logging with RTC & SD Card Storage

Technology Platforms

  • Ubuntu (Linux OS, with gcc compiler)
  • WSL(Windows Subsystem for Linux)
  • Code::Blocks , VSC , Dev-C++
  • LPC1768 development board
  • FreeRTOS
  • Keil uVision IDE , Flash Magic
  • Raspberry PI 4 Board, Raspberry OS
  • Arduino IDE, Arduino Uno Board
  • ESP32 Board , Micropython, Thonny IDE
  • MATLAB and Simulink
  • Qt Framework
Semester 3: Competitive Programming using C & DSA (60 hours)
Mastering C Programming - 15 sessions : 30 hours
Introduction to C: Simple C program structure, Literals, constants, variables and data types Operators with precedence and associativity Control flow statements with Examples
Modular Programming using functions Numeric Arrays :1D and 2D arrays Character Arrays, String functions
Searching algorithms Sorting Algorithms Problem Solving using Hacker rank
Data Structures and Algorithms for Problem Solving in C - 15 sessions : 30 hours
Pointers: Declaration and Initialization, Types of pointers Structures: Definition, Variable declaration, Accessing members Introduction to Data Structures: Stacks, Queues, Linked List
Dynamic Memory Allocation Static Stack and Dynamic Stack, Static Queue and Dynamic Queue Circular Queue
Linked List: Singly Linked List Doubly Linked List File Handling Using C
Git and Github Problem Solving using Hacker rank
Semester 4 : Object-Oriented Programming (60 hours)
Mastering OOP and Data Structures using C++ - 20 sessions : 40 hours
Introduction to C++, Structure of a C++ program Procedural overview of C++ Objected Oriented Approach in C++
Classes and objects, Encapsulation, Data hiding, abstraction Access Specifiers – Private and Protected, This pointer Constructors and Destructors
Friend functions and operator overloading Inheritance Run time polymorphism
Exception Handling Lambda Expression Smart Pointers
Generic functions and Classes: Templates STL Problem Solving using Hacker rank
Embedded C Programming following MISRA-C Guidelines - 10 sessions : 20 hours
Cross Compilers- arm-none-eabi-gcc , armclang, Toolchain: compiler(gcc), assembler(as),linker(ld),debugger(gdb) Conditional compiler directives and their significance in Embedded Software Const , volatile qualifier and their use in Embedded Systems
Bit-wise operators and their use in low level programming Structure padding, bitfields Function pointers
Make-file Building an Executable Stratup code, linker script and their use
Object file and map file Debugging and Tracing Coding standards/guidelines for secure and safe coding
Semester 5: Embedded System programming (60 hours)
Embedded Protocols and Peripheral Driver Development with ARM Cortex-M - 20 sessions : 40 hours
ARM Cortex-M3 Architecture: Processor Register set, memory address space, Operating modes LPC1768 Architecture, Block diagram, Buses, Memory, Pins, GPIO Ports
GPIO Registers, GPIO Programming: LED, buzzer and switch programming IO device programming 16 X 2 LCD programming
4 X 4 KEYPAD programming ADC & DAC Programming Timers & PWM Programming
RTC (Real-Time Clock) & Watchdog Timer (WDT) PLL (Phase-Locked Loop) & Clock Configuration NVIC (Nested Vectored Interrupt Controller) & Interrupt Handling
UART (Universal Asynchronous Receiver Transmitter) Communication SPI (Serial Peripheral Interface) Communication SSP (Synchronous Serial Peripheral) Communication
I2C (Inter-Integrated Circuit) Communication
Linux System Programming - 10 Sessions ( 20 Hours )
Linuc OS Structure , Linux Commands, Kernal Vs User space, Boot Process Shell Scripting Basics – Variables, Conditionals, Loops, Writing Scripts Process management and package handling, process life Cycle, Ps/Top/Kill, background / foreground jobs
Domain Specialization : EMBEDDED AI and AUTOMOTIVE SYSTEMS
Semester 6 : RTOS , Embedded AI and Automotive Systems (60 hours)
Embedded RTOS (FreeRTOS) Firmware Programming – 10 sessions : 20 hours
Overview of FreeRTOS: Features of FreeRTOS, FreeRTOS source code organization RTOS Concepts: Hard real time vs soft real time, Multi-threading/ Multi-tasking / Concurrent execution Scheduling and Context switching
Memory management: Heap vs Stack memory, program memory vs data memory FreeRTOS Heap Memory Management, different memory allocation schemes FreeRTOS Heap Utility Functions, Optimizing memory
Concept of FreeRTOS Tasks : freeRTOS Tasks APIs, Creating Tasks, Task Priorities, Task State Transitions Scheduler: Scheduler Algorithms, Tick Interrupt, Idle task Inter task Communication and synchronization: FreeRTOS Queue APIs
Data storage for Queue Blocking read, write Receiving data from multiple queues
Mailbox (using queue) Interrupt Management Events and ISRs, Tasks vs ISRs Semaphores: Concept of semaphores, Binary Semaphores, Counting semaphores
Resource Management: Shared resources Mutual Exclusion, Critical Section
Embedded AI and Edge Intelligence - 10 sessions : 20 hours
Introduction to TinyML & Edge AI: Edge AI vs. Cloud AI, Embedded AI use cases Sensor Data Acquisition: Real-time data collection and visualization (e.g., using Serial Plotter) Feature Extraction Techniques: Python/MATLAB-based feature extraction from sample sensor data
Intro to ML for Microcontrollers: Basic ML concepts-classification, regression, training, testing TinyML Model Optimization: Quantize and test model using TensorFlow Lite AI Model Deployment
Automotive Foundations - 10 sessions : 20 hours
ECUs, Types of ECU, Sensors and Actuators, ESD and Safety basics Automotive Systems Overview CAN Architecture
CAN Frames: data, remote, error frames CAN arbitration CAN programming
Message Filtering and Error Handling CAN Frame Analysis Using CAN- BUSMASTER Analyzer LIN Bus : Working Principle and Applications, Frame format
Intro to Automotive Functional Safety: Overview of ISO 26262, ASIL levels, safety lifecycle Autosar Architecture Basics: Classic vs. Adaptive Autosar, Basic software components
Semester 7 : Qt , MBD and Experiential Project based Learning (60 hours)
Qt Application Development for Automotive System - 10 sessions : 20 hours
Introduction to Qt Framework Setting up the Qt Development Environment Creating Your First Qt Widgets Application
Qt Widgets and Layouts GUI Design using Qt Designer Integrating C++ Classes with Qt
Model-View-Controller Basics Signal-Slot Mechanism: Connecting UI actions with logic Develop a simple infotainment UI
Model Based Design for Autosar Model Deployment using Matlab & Simulink - 10 sessions : 20 hours
Introduction to MATLAB and Simulink Data Types, Addressing Techniques, linear Equation Creating and manipulating matrices- Data Visualization-2D and 3D plots, Digital image processing,
Programming in MATLAB Graphical User Interface Logic Driven Modeling
Finite state machines Introduction to Simscape Build and simulate a DC motor control system
Model a basic software (BSW)component using Simulink + Embedded Coder Model-Based Design for ECUs: Control logic modeling, automatic code generation Experiential Project based Learning (20 hours)
A prototype Embedded System Development using Multi-Peripheral Integration and Real-Time Data Acquisition (AGILE+SCRUM+GIT+GITHUB)
Self-Learning or Recorded Session Modules
Electronic and Hardware Familiarization
Analog Electronics: Passive and Active components Circuit analysis using KCL and KVL Diode, Transistor and Op-amp Circuits
Digital Electronics: Combinational circuits design: Adders, Multiplexers, Encoders, Decoders Sequential circuits design: Flipflops, Registers, Counters Microprocessors and Microcontroller architecture
Basic Embedded System Architecture Standard Interfaces Understanding schematics/datasheet
Basic Python Programming
Variables,operators, Standard IO operations Control Statements :if, while, for, break, continue List and Tuples
Set and dictionary Functions , Scope of variables Modules, libraries, Packages

Semester-wise Course Objectives and Course Outcomes

Cranes Varsity Curriculum

Semester 3: Competitive Programming using C & DSA

  • Mastering C Programming
  • Data Structures and Algorithms for Problem Solving in C

Learning Objectives with Bloom's Taxonomy

# Learning Objective Bloom’s Level
1 Describe the basic syntax, data types, operators, and control structures of C programs. Remember / Understand
2 Apply modular programming principles to write efficient and reusable C functions. Apply
3 Implement standard searching and sorting algorithms using arrays in C. Apply / Analyze
4 Analyze memory management techniques and manipulate pointers and structures in C. Analyze
5 Design, implement, and manage data structures and use Git/GitHub for project collaboration. Create / Evaluate

Learning Outcomes with Bloom's Taxonomy and Assessment Criteria

# Learning Outcome Bloom’s Level Assessment Criteria
1 Construct C programs using variables, control structures, and modular functions. Apply Correct syntax, structured logic, modularity using functions. Assessed via coding assignments and quizzes.
2 Implement searching and sorting algorithms using arrays and evaluate their performance. Apply / Analyze Ability to write correct code and analyze time complexity. Assessed via problem-solving tasks on HackerRank.
3 Use pointers and structures to solve memory-related problems efficiently. Analyze / Apply Proper pointer usage, dynamic memory allocation, and structure manipulation. Evaluated via mini-projects.
4 Design and implement static and dynamic stacks, queues, and linked lists using C. Create Correct implementation and manipulation of data structures. Assessed via lab exercises and unit tests.
5 Perform file operations in C and use Git/GitHub for version control and collaborative programming. Apply / Evaluate Accurate file read/write operations and Git workflows (clone, commit, push). Assessed via lab and Git logs.

Semester 4: Object-Oriented Programming

  • Mastering OOP and Data Structures using C++
  • Embedded C programming following MISRA-C Guidelines

Learning Objectives with Bloom's Taxonomy

# Learning Objective Bloom’s Level
1 Understand the structure and features of C++ and the principles of object-oriented programming (OOP). Understand
2 Apply OOP principles (encapsulation, inheritance, polymorphism) and STL for modular C++ programming. Apply
3 Analyze and solve problems using advanced C++ features such as templates, exception handling, and lambdas. Analyze
4 Apply Embedded C concepts by adhering to MISRA-C coding guidelines and low-level memory practices. Apply / Evaluate
5 Evaluate and debug embedded C programs using build tools, compiler outputs, and map files. Evaluate / Create

Learning Outcomes with Bloom's Taxonomy and Assessment Criteria

# Learning Outcome Bloom’s Level Assessment Criteria
1 Develop C++ programs using classes, constructors, destructors, and access specifiers to implement OOP concepts. Apply Demonstrated through class-based program implementation in assignments and lab sessions.
2 Implement operator overloading, inheritance, and runtime polymorphism for reusable, extensible code. Apply / Analyze Evaluated through coding challenges and HackerRank problems involving OOP constructs.
3 Solve generic problems using function and class templates, and utilize STL containers and algorithms efficiently. Analyze / Evaluate Judged through code quality, STL usage, and correctness in algorithm implementation tasks.
4 Write Embedded C programs using preprocessor directives, bit-wise operations, and memory-efficient constructs. Apply Assessed via embedded C assignments adhering to MISRA-C rules and static analysis feedback.
5 Build, debug, and analyze embedded projects using Makefiles, cross compilers, startup code, and linker scripts. Evaluate / Create Validated by ability to generate executables, interpret map/object files, and correct startup configuration.

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