Comprehensive Course Structure and Curriculum
The engineering program at Sarvajanik University Surat is meticulously designed to provide students with a comprehensive and progressive learning experience. The curriculum is structured over 8 semesters, with each semester building upon the previous one to ensure a smooth transition from foundational knowledge to advanced specialization. The program emphasizes a balance between theoretical understanding and practical application, preparing students to become competent engineers ready for the challenges of the industry.
| 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 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG105 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | ENG106 | Engineering Mechanics | 3-1-0-4 | - |
| 1 | ENG107 | Communication Skills | 2-0-0-2 | - |
| 1 | ENG108 | Workshop Practice | 0-2-0-2 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Electromagnetic Fields | 3-1-0-4 | ENG105 |
| 2 | ENG204 | Materials Science | 3-1-0-4 | ENG103 |
| 2 | ENG205 | Signals and Systems | 3-1-0-4 | ENG201 |
| 2 | ENG206 | Control Systems | 3-1-0-4 | ENG205 |
| 2 | ENG207 | Computer Programming | 3-1-0-4 | - |
| 2 | ENG208 | Engineering Ethics | 2-0-0-2 | - |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Fluid Mechanics | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Electrical Machines | 3-1-0-4 | ENG105 |
| 3 | ENG304 | Structural Analysis | 3-1-0-4 | ENG106 |
| 3 | ENG305 | Digital Electronics | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 3 | ENG307 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG305 |
| 3 | ENG308 | Engineering Economics | 2-0-0-2 | ENG201 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | 3-1-0-4 | ENG202 |
| 4 | ENG403 | Power Systems | 3-1-0-4 | ENG303 |
| 4 | ENG404 | Design of Machine Elements | 3-1-0-4 | ENG106 |
| 4 | ENG405 | Computer Networks | 3-1-0-4 | ENG207 |
| 4 | ENG406 | Software Engineering | 3-1-0-4 | ENG207 |
| 4 | ENG407 | Operations Research | 3-1-0-4 | ENG306 |
| 4 | ENG408 | Environmental Science | 2-0-0-2 | - |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Advanced Control Systems | 3-1-0-4 | ENG206 |
| 5 | ENG503 | Advanced Electrical Machines | 3-1-0-4 | ENG303 |
| 5 | ENG504 | Advanced Structural Analysis | 3-1-0-4 | ENG304 |
| 5 | ENG505 | Embedded Systems | 3-1-0-4 | ENG307 |
| 5 | ENG506 | Artificial Intelligence | 3-1-0-4 | ENG306 |
| 5 | ENG507 | Machine Learning | 3-1-0-4 | ENG506 |
| 5 | ENG508 | Advanced Software Engineering | 3-1-0-4 | ENG406 |
| 6 | ENG601 | Advanced Computer Networks | 3-1-0-4 | ENG405 |
| 6 | ENG602 | Advanced Power Systems | 3-1-0-4 | ENG403 |
| 6 | ENG603 | Advanced Mechanical Design | 3-1-0-4 | ENG404 |
| 6 | ENG604 | Advanced Cybersecurity | 3-1-0-4 | ENG405 |
| 6 | ENG605 | Advanced Data Analytics | 3-1-0-4 | ENG506 |
| 6 | ENG606 | Advanced Robotics | 3-1-0-4 | ENG505 |
| 6 | ENG607 | Advanced Biomedical Engineering | 3-1-0-4 | ENG304 |
| 6 | ENG608 | Advanced Environmental Engineering | 3-1-0-4 | ENG408 |
| 7 | ENG701 | Research Methodology | 2-0-0-2 | - |
| 7 | ENG702 | Advanced Project Management | 2-0-0-2 | - |
| 7 | ENG703 | Capstone Project | 0-0-6-6 | - |
| 7 | ENG704 | Industry Internship | 0-0-0-6 | - |
| 8 | ENG801 | Advanced Capstone Project | 0-0-6-6 | ENG703 |
| 8 | ENG802 | Professional Ethics and Social Responsibility | 2-0-0-2 | - |
| 8 | ENG803 | Entrepreneurship Development | 2-0-0-2 | - |
| 8 | ENG804 | Advanced Thesis | 0-0-0-6 | - |
The curriculum at Sarvajanik University Surat is designed to provide students with a comprehensive understanding of engineering principles while also exposing them to the latest developments in their respective fields. The program includes a mix of core subjects, departmental electives, science electives, and laboratory sessions that are designed to provide students with hands-on experience.
Advanced Departmental Elective Courses
The advanced departmental elective courses offered at Sarvajanik University Surat are designed to provide students with specialized knowledge and skills in their chosen fields of engineering. These courses are taught by experienced faculty members who are leaders in their respective areas of expertise.
Artificial Intelligence and Machine Learning
This course provides students with a comprehensive understanding of artificial intelligence and machine learning concepts, including neural networks, deep learning, and natural language processing. Students will learn how to develop AI applications that can learn and improve from experience, and how to apply these techniques to real-world problems. The course includes hands-on projects that allow students to develop their own AI applications and to work with real datasets.
The learning objectives of this course include understanding the fundamentals of machine learning algorithms, developing skills in data preprocessing and feature engineering, and applying machine learning techniques to solve practical problems. Students will also gain experience in using popular machine learning frameworks such as TensorFlow and PyTorch, and will be exposed to advanced topics such as reinforcement learning and computer vision.
Cybersecurity
This course focuses on the principles and practices of cybersecurity, including network security, cryptography, and ethical hacking. Students will learn how to protect information systems from cyber threats, and how to develop secure software and applications. The course includes hands-on labs that simulate real-world cybersecurity challenges, and students will work on projects that involve developing security solutions for various applications.
The learning objectives of this course include understanding the fundamentals of cybersecurity threats and vulnerabilities, developing skills in network security and cryptography, and applying security principles to protect information systems. Students will also gain experience in using security tools and techniques to identify and mitigate security risks, and will be exposed to advanced topics such as penetration testing and incident response.
Renewable Energy Systems
This course provides students with a comprehensive understanding of renewable energy technologies, including solar, wind, and hydroelectric power generation. Students will learn about the principles and applications of renewable energy systems, and will gain experience in designing and analyzing renewable energy systems. The course includes hands-on projects that allow students to develop their own renewable energy systems and to work with real-world data.
The learning objectives of this course include understanding the fundamentals of renewable energy technologies, developing skills in system design and analysis, and applying renewable energy principles to solve practical problems. Students will also gain experience in using simulation tools to model renewable energy systems, and will be exposed to advanced topics such as energy storage and smart grid technologies.
Robotics and Automation
This course focuses on the design and development of robotic systems and automation technologies. Students will learn about robotics fundamentals, control systems, and automation technologies, and will gain experience in designing and building robotic systems. The course includes hands-on projects that allow students to develop their own robotic systems and to work with real-world applications.
The learning objectives of this course include understanding the fundamentals of robotics and automation, developing skills in control system design and implementation, and applying automation principles to solve practical problems. Students will also gain experience in using robotics software and hardware tools, and will be exposed to advanced topics such as autonomous navigation and machine vision.
Biomedical Engineering
This course provides students with a comprehensive understanding of biomedical engineering principles and applications, including medical device design, biomechanics, and bioinformatics. Students will learn how to apply engineering principles to solve healthcare challenges, and will gain experience in designing and developing medical technologies. The course includes hands-on projects that allow students to develop their own medical devices and to work with real-world healthcare data.
The learning objectives of this course include understanding the fundamentals of biomedical engineering, developing skills in medical device design and analysis, and applying engineering principles to solve healthcare problems. Students will also gain experience in using biomedical engineering software and tools, and will be exposed to advanced topics such as tissue engineering and regenerative medicine.
Environmental Engineering
This course focuses on the principles and practices of environmental engineering, including water treatment, waste management, and environmental impact assessment. Students will learn how to design and implement environmental solutions for various challenges, and will gain experience in environmental monitoring and analysis. The course includes hands-on projects that allow students to develop their own environmental solutions and to work with real-world environmental data.
The learning objectives of this course include understanding the fundamentals of environmental engineering, developing skills in environmental monitoring and analysis, and applying environmental engineering principles to solve practical problems. Students will also gain experience in using environmental engineering software and tools, and will be exposed to advanced topics such as sustainable development and environmental policy.
Automotive Engineering
This course provides students with a comprehensive understanding of automotive engineering principles and applications, including vehicle dynamics, engine design, and automotive systems. Students will learn how to design and develop automotive components and systems, and will gain experience in automotive testing and analysis. The course includes hands-on projects that allow students to develop their own automotive systems and to work with real-world automotive data.
The learning objectives of this course include understanding the fundamentals of automotive engineering, developing skills in vehicle design and analysis, and applying automotive engineering principles to solve practical problems. Students will also gain experience in using automotive engineering software and tools, and will be exposed to advanced topics such as electric vehicles and autonomous driving.
Electrical Power Systems
This course focuses on the generation, transmission, and distribution of electrical power, including power generation, transmission systems, and power electronics. Students will learn how to design and analyze power systems, and will gain experience in power system operation and control. The course includes hands-on projects that allow students to develop their own power systems and to work with real-world power system data.
The learning objectives of this course include understanding the fundamentals of electrical power systems, developing skills in power system design and analysis, and applying power system principles to solve practical problems. Students will also gain experience in using power system software and tools, and will be exposed to advanced topics such as smart grids and renewable energy integration.
Computer Engineering
This course provides students with a comprehensive understanding of computer engineering principles and applications, including computer architecture, embedded systems, and digital design. Students will learn how to design and develop computer systems and applications, and will gain experience in computer system implementation and testing. The course includes hands-on projects that allow students to develop their own computer systems and to work with real-world computer engineering data.
The learning objectives of this course include understanding the fundamentals of computer engineering, developing skills in computer system design and analysis, and applying computer engineering principles to solve practical problems. Students will also gain experience in using computer engineering software and tools, and will be exposed to advanced topics such as artificial intelligence and embedded systems.
Advanced Control Systems
This course provides students with a comprehensive understanding of advanced control systems, including state-space methods, optimal control, and robust control. Students will learn how to design and implement advanced control systems for various applications, and will gain experience in control system analysis and design. The course includes hands-on projects that allow students to develop their own control systems and to work with real-world control system data.
The learning objectives of this course include understanding the fundamentals of advanced control systems, developing skills in control system design and analysis, and applying control system principles to solve practical problems. Students will also gain experience in using control system software and tools, and will be exposed to advanced topics such as adaptive control and nonlinear control.
Advanced Power Electronics
This course focuses on the principles and applications of power electronics, including power converters, inverters, and power quality. Students will learn how to design and analyze power electronic systems, and will gain experience in power electronics applications and control. The course includes hands-on projects that allow students to develop their own power electronic systems and to work with real-world power electronic data.
The learning objectives of this course include understanding the fundamentals of power electronics, developing skills in power electronic system design and analysis, and applying power electronics principles to solve practical problems. Students will also gain experience in using power electronics software and tools, and will be exposed to advanced topics such as wide bandgap semiconductors and power system integration.
Advanced Data Analytics
This course provides students with a comprehensive understanding of advanced data analytics techniques, including machine learning, statistical modeling, and data visualization. Students will learn how to analyze and interpret complex datasets, and will gain experience in developing data-driven solutions for various applications. The course includes hands-on projects that allow students to work with real-world datasets and to develop their own data analytics solutions.
The learning objectives of this course include understanding the fundamentals of advanced data analytics, developing skills in data analysis and modeling, and applying data analytics principles to solve practical problems. Students will also gain experience in using data analytics software and tools, and will be exposed to advanced topics such as deep learning and big data analytics.
Advanced Software Engineering
This course focuses on the principles and practices of advanced software engineering, including software architecture, software testing, and software project management. Students will learn how to design and develop complex software systems, and will gain experience in software engineering methodologies and tools. The course includes hands-on projects that allow students to develop their own software systems and to work with real-world software engineering data.
The learning objectives of this course include understanding the fundamentals of advanced software engineering, developing skills in software system design and analysis, and applying software engineering principles to solve practical problems. Students will also gain experience in using software engineering tools and methodologies, and will be exposed to advanced topics such as agile development and software architecture patterns.
Advanced Biomedical Engineering
This course provides students with a comprehensive understanding of advanced biomedical engineering principles and applications, including advanced medical device design, biomechanics, and bioinformatics. Students will learn how to apply advanced engineering principles to solve complex healthcare challenges, and will gain experience in designing and developing advanced medical technologies. The course includes hands-on projects that allow students to develop their own advanced medical devices and to work with real-world healthcare data.
The learning objectives of this course include understanding the fundamentals of advanced biomedical engineering, developing skills in advanced medical device design and analysis, and applying advanced engineering principles to solve complex healthcare problems. Students will also gain experience in using advanced biomedical engineering software and tools, and will be exposed to advanced topics such as tissue engineering and regenerative medicine.
Advanced Environmental Engineering
This course focuses on the principles and practices of advanced environmental engineering, including advanced water treatment, waste management, and environmental impact assessment. Students will learn how to design and implement advanced environmental solutions for complex challenges, and will gain experience in environmental monitoring and analysis. The course includes hands-on projects that allow students to develop their own advanced environmental solutions and to work with real-world environmental data.
The learning objectives of this course include understanding the fundamentals of advanced environmental engineering, developing skills in environmental monitoring and analysis, and applying advanced environmental engineering principles to solve complex problems. Students will also gain experience in using advanced environmental engineering software and tools, and will be exposed to advanced topics such as sustainable development and environmental policy.
Project-Based Learning Approach
The department's philosophy on project-based learning is centered on providing students with hands-on experience that bridges the gap between theoretical knowledge and practical application. This approach is designed to develop critical thinking, problem-solving, and collaborative skills that are essential for success in the engineering profession.
Mini-projects are an integral part of the curriculum, starting from the second year of the program. These projects are designed to be manageable in scope but challenging enough to provide students with meaningful learning experiences. Students work in teams to solve real-world engineering problems, and they are guided by faculty mentors throughout the project lifecycle. The projects are evaluated based on technical merit, creativity, presentation skills, and teamwork.
The final-year thesis/capstone project is the culmination of the students' academic journey and represents their ability to integrate knowledge from multiple disciplines to solve complex engineering challenges. Students select their projects based on their interests and career aspirations, and they work closely with faculty mentors to develop and execute their projects. The capstone project is a significant undertaking that requires students to demonstrate their mastery of engineering principles and their ability to apply them to real-world problems.
The evaluation criteria for projects are designed to be comprehensive and to provide students with feedback on their performance. The criteria include technical competence, creativity, presentation skills, teamwork, and the ability to solve complex problems. Students are encouraged to think critically and to approach problems from multiple perspectives, and they are supported by faculty mentors throughout the project development process.
Students select their projects through a process that involves faculty mentorship and guidance. The department maintains a database of project ideas that are aligned with industry needs and research interests. Students are encouraged to propose their own project ideas, and they are supported by faculty mentors in developing and refining their proposals. The project selection process ensures that students are working on projects that are relevant to their interests and career goals.