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Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,50,000
Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,50,000
Seats
1,200
Students
1,200
Seats
1,200
Students
1,200
The Engineering program at Shri Venkateshwara University Amroha is structured over eight semesters, with each semester designed to build upon the previous one. The curriculum is carefully crafted to ensure that students gain a solid foundation in basic sciences, core engineering principles, and specialized knowledge in their chosen field.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Engineering Physics | 3-1-0-4 | None |
| 1 | ENG103 | Engineering Chemistry | 3-1-0-4 | None |
| 1 | ENG104 | Engineering Graphics | 2-1-0-3 | None |
| 1 | ENG105 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ENG106 | Computer Programming | 2-1-0-3 | None |
| 1 | ENG107 | Workshop Practice | 0-0-2-1 | None |
| 1 | ENG108 | Communication Skills | 2-0-0-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Engineering Mechanics | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Material Science | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Electronic Devices | 3-1-0-4 | ENG105 |
| 2 | ENG205 | Programming in C++ | 2-1-0-3 | ENG106 |
| 2 | ENG206 | Engineering Drawing | 2-1-0-3 | ENG104 |
| 2 | ENG207 | Workshop Practice II | 0-0-2-1 | ENG107 |
| 2 | ENG208 | Humanities & Social Sciences | 2-0-0-2 | None |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Thermodynamics | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Fluid Mechanics | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Electrical Circuits | 3-1-0-4 | ENG204 |
| 3 | ENG305 | Data Structures & Algorithms | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Signals & Systems | 3-1-0-4 | ENG201 |
| 3 | ENG307 | Workshop Practice III | 0-0-2-1 | ENG207 |
| 3 | ENG308 | Professional Ethics | 2-0-0-2 | None |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Machine Design | 3-1-0-4 | ENG202 |
| 4 | ENG404 | Control Systems | 3-1-0-4 | ENG306 |
| 4 | ENG405 | Database Management Systems | 3-1-0-4 | ENG305 |
| 4 | ENG406 | Communication Engineering | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Workshop Practice IV | 0-0-2-1 | ENG307 |
| 4 | ENG408 | Entrepreneurship Development | 2-0-0-2 | None |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Manufacturing Processes | 3-1-0-4 | ENG303 |
| 5 | ENG503 | Structural Analysis | 3-1-0-4 | ENG302 |
| 5 | ENG504 | Power Electronics | 3-1-0-4 | ENG404 |
| 5 | ENG505 | Artificial Intelligence | 3-1-0-4 | ENG405 |
| 5 | ENG506 | Computer Networks | 3-1-0-4 | ENG406 |
| 5 | ENG507 | Workshop Practice V | 0-0-2-1 | ENG407 |
| 5 | ENG508 | Project Management | 2-0-0-2 | None |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG504 |
| 6 | ENG602 | Renewable Energy Systems | 3-1-0-4 | ENG402 |
| 6 | ENG603 | Advanced Materials | 3-1-0-4 | ENG303 |
| 6 | ENG604 | Embedded Systems | 3-1-0-4 | ENG405 |
| 6 | ENG605 | Machine Learning | 3-1-0-4 | ENG505 |
| 6 | ENG606 | Software Engineering | 3-1-0-4 | ENG405 |
| 6 | ENG607 | Workshop Practice VI | 0-0-2-1 | ENG507 |
| 6 | ENG608 | Research Methodology | 2-0-0-2 | None |
| 7 | ENG701 | Advanced Mathematics II | 3-1-0-4 | ENG601 |
| 7 | ENG702 | Industrial Design | 3-1-0-4 | ENG503 |
| 7 | ENG703 | Power Generation | 3-1-0-4 | ENG504 |
| 7 | ENG704 | Neural Networks | 3-1-0-4 | ENG605 |
| 7 | ENG705 | Big Data Analytics | 3-1-0-4 | ENG606 |
| 7 | ENG706 | Internet of Things | 3-1-0-4 | ENG606 |
| 7 | ENG707 | Workshop Practice VII | 0-0-2-1 | ENG607 |
| 7 | ENG708 | Capstone Project | 0-0-6-6 | ENG608 |
| 8 | ENG801 | Advanced Topics in Engineering | 3-1-0-4 | ENG701 |
| 8 | ENG802 | Research Project | 0-0-6-6 | ENG708 |
| 8 | ENG803 | Professional Practice | 2-0-0-2 | None |
| 8 | ENG804 | Internship | 0-0-0-4 | None |
The department offers a range of advanced departmental elective courses that allow students to specialize in their areas of interest and gain in-depth knowledge in specific domains. These courses are designed to provide students with practical skills and real-world applications that align with current industry trends.
One such course is Artificial Intelligence and Machine Learning, which covers topics such as neural networks, deep learning, natural language processing, and computer vision. Students learn to implement AI algorithms using Python and TensorFlow, and they work on projects that involve building intelligent systems for real-world applications.
Another elective course, Embedded Systems, focuses on the design and development of embedded software and hardware systems. Students explore microcontrollers, real-time operating systems, and sensor integration, and they develop projects that involve creating embedded solutions for IoT applications.
The Power Electronics course delves into the principles and applications of power electronic converters and drives. Students study topics such as rectifiers, inverters, and DC-DC converters, and they gain hands-on experience in designing and testing power electronic circuits.
The Computer Networks course provides an in-depth understanding of network architecture, protocols, and security. Students learn about TCP/IP, routing, switching, and wireless networks, and they work on projects that involve network design and troubleshooting.
Database Management Systems is another advanced elective that covers database design, SQL, normalization, and transaction management. Students learn to design and implement database systems using tools such as MySQL and Oracle, and they gain experience in database administration and optimization.
The Software Engineering course focuses on the principles and practices of software development. Students learn about software design patterns, testing methodologies, and project management, and they work on group projects that simulate real-world software development environments.
Neural Networks is an advanced course that explores the theory and application of artificial neural networks. Students study feedforward networks, recurrent networks, and convolutional networks, and they implement neural networks for image recognition, natural language processing, and time series prediction.
Big Data Analytics covers the tools and techniques used in analyzing large datasets. Students learn about Hadoop, Spark, and machine learning algorithms for big data processing, and they work on projects that involve data mining and predictive analytics.
Internet of Things (IoT) is a course that explores the architecture and applications of IoT systems. Students study sensor networks, cloud computing, and mobile applications, and they develop IoT solutions for smart cities, agriculture, and healthcare.
Renewable Energy Systems focuses on the design and implementation of solar, wind, and hydroelectric power systems. Students learn about energy conversion technologies, grid integration, and energy storage, and they work on projects that involve designing renewable energy systems for residential and commercial applications.
Advanced Materials is an elective that covers the properties and applications of advanced materials such as composites, ceramics, and nanomaterials. Students study material characterization techniques and learn to design materials for specific applications in aerospace, automotive, and biomedical industries.
Industrial Design focuses on the principles of product design and user experience. Students learn about design thinking, prototyping, and usability testing, and they work on projects that involve designing products for consumer markets.
Advanced Control Systems explores the theory and application of modern control systems. Students study state-space representation, optimal control, and robust control, and they gain experience in designing control systems for industrial applications.
Signal Processing covers the analysis and processing of signals in both time and frequency domains. Students learn about digital filters, Fourier transforms, and wavelet transforms, and they work on projects that involve signal processing applications in audio, image, and biomedical engineering.
Power Generation is a course that focuses on the principles and technologies of power generation. Students study thermal, hydroelectric, and nuclear power plants, and they gain knowledge in power plant design, operation, and maintenance.
The department's philosophy on project-based learning is centered around the belief that hands-on experience is essential for developing practical skills and deepening conceptual understanding. Students are encouraged to apply theoretical knowledge to real-world problems and to collaborate with peers to solve complex challenges.
Mini-projects are introduced in the second year and continue through the third year. These projects are designed to be manageable in scope but challenging enough to provide students with meaningful learning experiences. Students work in teams to design, implement, and present their projects, which are evaluated based on technical merit, innovation, and presentation skills.
The final-year thesis/capstone project is a comprehensive endeavor that integrates all the knowledge and skills acquired throughout the program. Students select a project topic in consultation with faculty mentors, conduct research, and develop a solution or system that addresses a real-world problem. The project is supervised by a faculty advisor and is evaluated based on originality, technical depth, and contribution to the field.
Project selection is a collaborative process involving students and faculty mentors. Students are encouraged to choose projects that align with their interests and career goals, and they are supported in finding appropriate resources and guidance. The department provides access to research facilities, software tools, and expert advice to ensure that students can successfully complete their projects.
Evaluation criteria for projects include technical correctness, innovation, presentation quality, and team collaboration. Students are assessed on their ability to plan, execute, and document their projects effectively. The department also encourages students to present their projects at conferences and competitions, providing them with opportunities to showcase their work and gain recognition for their achievements.
