Comprehensive Course Structure
The curriculum for the Engineering program at The Svkms Nmims Global University Dhule is meticulously designed to provide a comprehensive educational experience that balances theoretical knowledge with practical application. The program spans eight semesters, offering students a progressive journey from foundational concepts to advanced specialization.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Engineering Physics | 3-1-0-4 | - |
| 1 | ENG103 | Engineering Chemistry | 3-1-0-4 | - |
| 1 | ENG104 | Introduction to Engineering Design | 2-0-2-3 | - |
| 1 | ENG105 | Programming and Problem Solving | 3-0-2-4 | - |
| 1 | ENG106 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG107 | Workshop Practice | 0-0-4-2 | - |
| 1 | ENG108 | Physical Education and Sports | 0-0-2-1 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Engineering Fundamentals | 3-1-0-4 | - |
| 2 | ENG203 | Material Science | 3-1-0-4 | - |
| 2 | ENG204 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG205 | Computer Programming | 3-0-2-4 | ENG105 |
| 2 | ENG206 | Engineering Economics | 3-0-0-3 | - |
| 2 | ENG207 | Communication Skills | 2-0-0-2 | - |
| 2 | ENG208 | Environmental Science | 3-0-0-3 | - |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG303 | Digital Electronics | 3-1-0-4 | - |
| 3 | ENG304 | Thermodynamics | 3-1-0-4 | - |
| 3 | ENG305 | Fluid Mechanics | 3-1-0-4 | - |
| 3 | ENG306 | Strength of Materials | 3-1-0-4 | - |
| 3 | ENG307 | Engineering Ethics | 2-0-0-2 | - |
| 3 | ENG308 | Project Management | 2-0-0-2 | - |
| 4 | ENG401 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 4 | ENG402 | Control Systems | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Electromagnetic Fields | 3-1-0-4 | - |
| 4 | ENG404 | Machine Design | 3-1-0-4 | - |
| 4 | ENG405 | Manufacturing Processes | 3-1-0-4 | - |
| 4 | ENG406 | Advanced Mathematics | 3-1-0-4 | ENG201 |
| 4 | ENG407 | Research Methodology | 2-0-0-2 | - |
| 4 | ENG408 | Technical Writing | 2-0-0-2 | - |
| 5 | ENG501 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG303 |
| 5 | ENG502 | Communication Systems | 3-1-0-4 | - |
| 5 | ENG503 | Power Systems | 3-1-0-4 | - |
| 5 | ENG504 | Design and Analysis of Algorithms | 3-1-0-4 | ENG205 |
| 5 | ENG505 | Computer Networks | 3-1-0-4 | - |
| 5 | ENG506 | Advanced Fluid Mechanics | 3-1-0-4 | ENG305 |
| 5 | ENG507 | Advanced Strength of Materials | 3-1-0-4 | ENG306 |
| 5 | ENG508 | Quality Control and Reliability | 2-0-0-2 | - |
| 6 | ENG601 | Artificial Intelligence | 3-1-0-4 | ENG401 |
| 6 | ENG602 | Data Structures and Algorithms | 3-1-0-4 | ENG205 |
| 6 | ENG603 | Embedded Systems | 3-1-0-4 | - |
| 6 | ENG604 | Power Electronics | 3-1-0-4 | - |
| 6 | ENG605 | Advanced Manufacturing | 3-1-0-4 | ENG405 |
| 6 | ENG606 | Operations Research | 3-1-0-4 | ENG401 |
| 6 | ENG607 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG201 |
| 6 | ENG608 | Entrepreneurship Development | 2-0-0-2 | - |
| 7 | ENG701 | Advanced Control Systems | 3-1-0-4 | ENG402 |
| 7 | ENG702 | Machine Learning | 3-1-0-4 | ENG601 |
| 7 | ENG703 | Digital Signal Processing | 3-1-0-4 | ENG302 |
| 7 | ENG704 | Renewable Energy Systems | 3-1-0-4 | - |
| 7 | ENG705 | Robotics and Automation | 3-1-0-4 | - |
| 7 | ENG706 | Advanced Materials | 3-1-0-4 | - |
| 7 | ENG707 | Project Management and Leadership | 2-0-0-2 | - |
| 7 | ENG708 | Capstone Project I | 0-0-6-3 | - |
| 8 | ENG801 | Advanced Artificial Intelligence | 3-1-0-4 | ENG702 |
| 8 | ENG802 | Advanced Embedded Systems | 3-1-0-4 | ENG603 |
| 8 | ENG803 | Industrial Automation | 3-1-0-4 | - |
| 8 | ENG804 | Advanced Power Systems | 3-1-0-4 | ENG503 |
| 8 | ENG805 | Biomedical Engineering | 3-1-0-4 | - |
| 8 | ENG806 | Advanced Manufacturing Technologies | 3-1-0-4 | ENG605 |
| 8 | ENG807 | Research Project | 0-0-8-6 | - |
| 8 | ENG808 | Capstone Project II | 0-0-6-3 | - |
Detailed Course Descriptions
The department's approach to education emphasizes project-based learning as a cornerstone of the academic experience. This methodology ensures that students not only understand theoretical concepts but also apply them to solve real-world problems, preparing them for professional challenges they will encounter in their careers.
Advanced Departmental Elective Courses
The department offers a rich variety of advanced elective courses designed to provide students with specialized knowledge and skills relevant to emerging technological trends and industry demands. These courses are carefully curated to ensure that students gain exposure to cutting-edge developments while maintaining academic rigor.
Artificial Intelligence and Machine Learning (ENG601)
This course introduces students to the fundamental concepts of artificial intelligence and machine learning, covering topics such as neural networks, deep learning algorithms, natural language processing, and computer vision. Students will engage in hands-on projects using industry-standard frameworks like TensorFlow and PyTorch, developing practical skills that are highly valued by employers.
Advanced Control Systems (ENG701)
This advanced course explores modern control system design techniques, including state-space methods, optimal control, and robust control. Students will learn to design and analyze complex control systems for various applications, from aerospace engineering to industrial automation, preparing them for specialized roles in control engineering.
Digital Signal Processing (ENG703)
Digital signal processing is a critical area of study that finds applications in telecommunications, audio and video processing, biomedical engineering, and more. This course covers discrete-time signals and systems, Z-transforms, FFT algorithms, and filter design techniques, providing students with the mathematical foundations necessary for advanced signal processing applications.
Renewable Energy Systems (ENG704)
As the world transitions toward sustainable energy solutions, understanding renewable energy systems becomes increasingly important. This course covers solar power generation, wind energy technologies, hydroelectric power, and energy storage systems. Students will explore both theoretical concepts and practical applications, preparing them for careers in the rapidly growing renewable energy sector.
Robotics and Automation (ENG705)
The field of robotics combines mechanical engineering, electrical engineering, and computer science to create intelligent machines capable of performing complex tasks. This course introduces students to robot design, kinematics, control systems, sensor integration, and artificial intelligence applications in robotics, providing them with comprehensive knowledge for careers in automation and robotics.
Advanced Materials (ENG706)
Modern engineering applications require an understanding of advanced materials properties and their applications. This course covers nanomaterials, composite materials, smart materials, and biomaterials, exploring how material properties influence performance in various engineering contexts. Students will learn to select appropriate materials for specific applications based on their characteristics and requirements.
Advanced Embedded Systems (ENG802)
Embedded systems are at the heart of modern electronic devices, from smartphones to automotive systems. This advanced course covers system-on-chip design, real-time operating systems, hardware-software co-design, and specialized microcontroller architectures. Students will gain practical experience through laboratory projects involving embedded software development and hardware integration.
Industrial Automation (ENG803)
Industrial automation is transforming manufacturing processes across industries, making them more efficient, precise, and cost-effective. This course explores programmable logic controllers (PLCs), human-machine interfaces, industrial communication protocols, and automated process control systems, preparing students for roles in industrial engineering and automation.
Advanced Power Systems (ENG804)
Power systems form the backbone of modern infrastructure, and understanding their operation and management is crucial for engineers. This course covers power system analysis, stability studies, protection schemes, and renewable energy integration into existing grids, providing students with comprehensive knowledge for careers in electrical power engineering.
Biomedical Engineering (ENG805)
Biomedical engineering represents a unique intersection of engineering principles and medical applications. This course explores medical device design, biomechanics, bioinformatics, and healthcare technology innovation. Students will learn to apply engineering concepts to solve complex problems in healthcare, preparing them for careers in the growing biomedical field.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that real-world problem-solving skills are essential for professional success. Projects are designed to mirror industry challenges, providing students with authentic learning experiences that enhance their technical capabilities and collaborative skills.
The project structure involves several phases: problem identification, literature review, design and planning, implementation, testing, and documentation. Students work in teams of 3-5 members, rotating leadership roles to ensure everyone develops management and communication skills.
Mini-projects are integrated throughout the curriculum, beginning in the first year with small-scale design challenges and progressing to complex multi-disciplinary projects in later semesters. These projects often involve collaboration with industry partners, providing students with exposure to real-world constraints and requirements.
The final-year thesis/capstone project represents the culmination of students' academic journey, requiring them to tackle a significant engineering challenge independently or within a team. Students select their projects in consultation with faculty mentors, ensuring alignment with their interests and career goals while maintaining academic rigor.
Evaluation criteria for projects include technical depth, innovation, presentation quality, teamwork effectiveness, and adherence to industry standards. Students are assessed through both peer review and faculty evaluation, ensuring comprehensive feedback that supports continuous improvement.