Curriculum Overview
The Mechatronics program at Phonics Group Of Institutions is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory courses. Each semester builds upon the previous one to ensure a progressive understanding and application of concepts.
| Year | Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| First Year | I | ME-101 | Engineering Mathematics I | 3-1-0-4 | None |
| First Year | I | ME-102 | Engineering Physics | 3-1-0-4 | None |
| First Year | I | ME-103 | Engineering Chemistry | 3-1-0-4 | None |
| First Year | I | ME-104 | Engineering Graphics & Design | 2-1-0-3 | None |
| First Year | I | ME-105 | Introduction to Mechatronics | 2-0-0-2 | None |
| First Year | I | ME-106 | Programming & Problem Solving | 3-0-2-5 | None |
| First Year | I | ME-107 | Basic Electrical Circuits | 3-1-0-4 | None |
| First Year | I | ME-108 | Basics of Mechanical Engineering | 3-1-0-4 | None |
| First Year | II | ME-201 | Engineering Mathematics II | 3-1-0-4 | ME-101 |
| First Year | II | ME-202 | Thermodynamics & Heat Transfer | 3-1-0-4 | ME-102 |
| First Year | II | ME-203 | Materials Science | 3-1-0-4 | ME-103 |
| First Year | II | ME-204 | Engineering Mechanics | 3-1-0-4 | ME-108 |
| First Year | II | ME-205 | Signals & Systems | 3-1-0-4 | ME-101 |
| First Year | II | ME-206 | Electronics Devices & Circuits | 3-1-0-4 | ME-107 |
| First Year | II | ME-207 | Computer Programming | 3-0-2-5 | ME-106 |
| First Year | II | ME-208 | Design & Drafting | 2-1-0-3 | ME-104 |
| Second Year | III | ME-301 | Control Systems | 3-1-0-4 | ME-205 |
| Second Year | III | ME-302 | Microprocessors & Microcontrollers | 3-1-0-4 | ME-206 |
| Second Year | III | ME-303 | Sensors & Transducers | 3-1-0-4 | ME-206 |
| Second Year | III | ME-304 | Electromechanical Systems | 3-1-0-4 | ME-207 |
| Second Year | III | ME-305 | Engineering Design & Simulation | 2-1-0-3 | ME-208 |
| Second Year | III | ME-306 | Manufacturing Processes | 3-1-0-4 | ME-208 |
| Second Year | III | ME-307 | Industrial Automation | 3-1-0-4 | ME-301 |
| Second Year | III | ME-308 | Digital Signal Processing | 3-1-0-4 | ME-205 |
| Second Year | IV | ME-401 | Robotics & Control | 3-1-0-4 | ME-301 |
| Second Year | IV | ME-402 | Embedded Systems | 3-1-0-4 | ME-302 |
| Second Year | IV | ME-403 | Advanced Manufacturing | 3-1-0-4 | ME-306 |
| Second Year | IV | ME-404 | System Modeling & Simulation | 3-1-0-4 | ME-301 |
| Second Year | IV | ME-405 | Machine Learning for Mechatronics | 3-1-0-4 | ME-205 |
| Second Year | IV | ME-406 | Project I: Mini Project | 2-0-2-4 | ME-301, ME-302 |
| Third Year | V | ME-501 | Advanced Control Systems | 3-1-0-4 | ME-301 |
| Third Year | V | ME-502 | Power Electronics | 3-1-0-4 | ME-206 |
| Third Year | V | ME-503 | Intelligent Systems | 3-1-0-4 | ME-402 |
| Third Year | V | ME-504 | Human-Robot Interaction | 3-1-0-4 | ME-401 |
| Third Year | V | ME-505 | Autonomous Systems | 3-1-0-4 | ME-401 |
| Third Year | V | ME-506 | Energy Systems | 3-1-0-4 | ME-202 |
| Third Year | V | ME-507 | Medical Devices & Biomedical Engineering | 3-1-0-4 | ME-303 |
| Third Year | V | ME-508 | Research Methodology | 2-0-0-2 | None |
| Fourth Year | VI | ME-601 | Smart Manufacturing Systems | 3-1-0-4 | ME-503 |
| Fourth Year | VI | ME-602 | IoT & Smart Devices | 3-1-0-4 | ME-402 |
| Fourth Year | VI | ME-603 | Advanced Robotics | 3-1-0-4 | ME-401 |
| Fourth Year | VI | ME-604 | Capstone Project | 2-0-2-4 | All core subjects |
| Fourth Year | VI | ME-605 | Internship | 0-0-0-10 | All core subjects |
| Fourth Year | VII | ME-701 | Thesis Work I | 2-0-0-4 | ME-508 |
| Fourth Year | VII | ME-702 | Thesis Work II | 2-0-0-4 | ME-701 |
| Fourth Year | VIII | ME-801 | Industry Internship | 0-0-0-10 | All core subjects |
Advanced Departmental Electives
Machine Learning for Mechatronics: This course introduces students to the application of machine learning techniques in designing intelligent mechatronic systems. Topics include neural networks, deep learning, and reinforcement learning as applied to robotics and control systems.
Advanced Control Systems: An advanced exploration of control theory with emphasis on modern control strategies such as optimal control, robust control, and adaptive control. Students learn to model complex systems and design controllers that meet performance specifications.
Power Electronics: This course covers the principles and applications of power electronic converters used in mechatronic systems. It includes topics like DC-DC converters, AC-DC rectifiers, and inverters, with a focus on efficiency and reliability.
Intelligent Systems: Designed to equip students with knowledge of artificial intelligence and its integration into mechanical systems. The course covers fuzzy logic, expert systems, and machine learning algorithms tailored for industrial applications.
Human-Robot Interaction: Focuses on the design and implementation of interfaces that enable natural communication between humans and robots. Students explore gesture recognition, voice interaction, and user experience design.
Autonomous Systems: Introduces students to the design and development of self-navigating systems such as drones, rovers, and autonomous vehicles. The course covers path planning, sensor fusion, and navigation algorithms.
Energy Systems: This course explores sustainable energy solutions and their integration into smart systems. Students learn about renewable energy technologies, power electronics, and energy management systems.
Medical Devices & Biomedical Engineering: Covers the design and development of medical devices for healthcare applications. Topics include biomedical sensors, diagnostic tools, and therapeutic systems.
Smart Manufacturing Systems: Focuses on Industry 4.0 technologies such as IoT, data analytics, and automation in manufacturing environments. Students learn to design smart factories and optimize production processes.
IoT & Smart Devices: Introduces the fundamentals of the Internet of Things (IoT) and how it applies to mechatronic systems. The course covers wireless communication protocols, embedded devices, and smart sensing technologies.
Project-Based Learning Philosophy
The Department of Mechatronics at Phonics Group Of Institutions believes in a project-based learning approach that enhances student engagement and practical understanding. From the first year, students are encouraged to engage in hands-on projects that reinforce theoretical concepts and foster innovation.
Mini-projects are assigned in the third and fourth semesters, where students work in teams to solve real-world problems using the knowledge gained from core courses. These projects are evaluated based on technical execution, creativity, teamwork, and presentation skills.
The final-year thesis or capstone project is a significant component of the program. Students select topics aligned with their interests and career goals, working closely with faculty mentors. The project involves extensive research, design, implementation, testing, and documentation. It culminates in a formal presentation to an evaluation panel comprising industry experts and academic staff.
Faculty members guide students through each stage of the project lifecycle, from idea generation to final submission. Mentorship is provided throughout the duration of the project, ensuring that students receive continuous support and feedback. This approach not only enhances technical competencies but also develops leadership, communication, and problem-solving skills essential for professional success.