Curriculum Overview

The engineering curriculum at Shri Davara University Raipur is designed to provide a comprehensive and rigorous education that prepares students for success in their chosen field. The program is structured over eight semesters, with each semester building upon the previous one to ensure a progressive learning experience.

Semester-wise Course Structure

The following table outlines the course structure for each semester, including core subjects, departmental electives, science electives, and laboratory courses. Each course is assigned a unique course code and credit structure (L-T-P-C), where L stands for Lecture hours, T for Tutorial hours, P for Practical hours, and C for Credit hours.

Semester	Course Code	Course Title	L-T-P-C	Prerequisites
1	ENG101	Engineering Mathematics I	3-0-0-3	-
1	ENG102	Physics for Engineers	3-0-0-3	-
1	ENG103	Chemistry for Engineers	3-0-0-3	-
1	ENG104	Engineering Drawing	2-0-2-3	-
1	ENG105	Introduction to Programming	2-0-2-3	-
1	ENG106	Communication Skills	2-0-0-2	-
2	ENG201	Engineering Mathematics II	3-0-0-3	ENG101
2	ENG202	Engineering Mechanics	3-0-0-3	ENG102
2	ENG203	Electrical Circuits	3-0-0-3	ENG102
2	ENG204	Computer Programming	2-0-2-3	ENG105
2	ENG205	Engineering Materials	3-0-0-3	ENG103
2	ENG206	Workshop Practice	0-0-4-2	-
3	ENG301	Engineering Mathematics III	3-0-0-3	ENG201
3	ENG302	Thermodynamics	3-0-0-3	ENG202
3	ENG303	Fluid Mechanics	3-0-0-3	ENG202
3	ENG304	Digital Electronics	3-0-0-3	ENG203
3	ENG305	Data Structures	3-0-0-3	ENG204
3	ENG306	Strength of Materials	3-0-0-3	ENG202
4	ENG401	Control Systems	3-0-0-3	ENG301
4	ENG402	Signals and Systems	3-0-0-3	ENG301
4	ENG403	Machine Design	3-0-0-3	ENG306
4	ENG404	Operating Systems	3-0-0-3	ENG305
4	ENG405	Computer Networks	3-0-0-3	ENG305
4	ENG406	Advanced Mathematics	3-0-0-3	ENG301
5	ENG501	Advanced Control Systems	3-0-0-3	ENG401
5	ENG502	Power Electronics	3-0-0-3	ENG401
5	ENG503	Advanced Data Structures	3-0-0-3	ENG404
5	ENG504	Engineering Economics	3-0-0-3	ENG301
5	ENG505	Advanced Fluid Mechanics	3-0-0-3	ENG303
5	ENG506	Project Management	3-0-0-3	ENG404
6	ENG601	Research Methodology	3-0-0-3	ENG504
6	ENG602	Advanced Machine Learning	3-0-0-3	ENG503
6	ENG603	Embedded Systems	3-0-0-3	ENG404
6	ENG604	Advanced Structural Analysis	3-0-0-3	ENG306
6	ENG605	Advanced Power Systems	3-0-0-3	ENG502
6	ENG606	Capstone Project	0-0-6-6	ENG501, ENG503, ENG505
7	ENG701	Internship	0-0-0-12	ENG606
8	ENG801	Final Year Project	0-0-8-8	ENG701

Advanced Departmental Elective Courses

Departmental electives allow students to explore specialized areas of interest and gain in-depth knowledge in their chosen field. The following are some of the advanced departmental elective courses offered:

• Deep Learning and Neural Networks: This course covers the fundamentals of deep learning, including neural network architectures, backpropagation, and optimization techniques. Students will learn to implement and train deep learning models using frameworks like TensorFlow and PyTorch.
• Internet of Things (IoT) and Embedded Systems: This course explores the design and implementation of IoT systems, focusing on sensor networks, communication protocols, and embedded software development. Students will work on real-world IoT projects using platforms like Arduino and Raspberry Pi.
• Advanced Robotics and Automation: This course delves into the principles of robotics, including kinematics, control systems, and sensor integration. Students will design and build robotic systems capable of performing complex tasks.
• Software Engineering and DevOps: This course covers the entire software development lifecycle, including requirements analysis, design, testing, and deployment. Students will learn to use DevOps tools and practices to streamline software development processes.
• Renewable Energy Systems: This course focuses on the design and analysis of renewable energy systems, including solar, wind, and hydroelectric power. Students will learn to model and optimize energy systems for maximum efficiency.
• Advanced Materials Science: This course explores the structure, properties, and applications of advanced materials, including composites, nanomaterials, and smart materials. Students will conduct experiments to characterize material properties and develop new materials.
• Environmental Impact Assessment: This course covers the principles and methods of environmental impact assessment, including data collection, analysis, and mitigation strategies. Students will learn to assess the environmental consequences of engineering projects.
• Advanced Control Systems: This course delves into advanced control system design, including state-space methods, optimal control, and robust control. Students will design and implement control systems for complex engineering applications.
• Quantitative Finance and Risk Management: This course introduces students to the application of engineering principles in finance, including financial modeling, risk analysis, and portfolio optimization. Students will use computational tools to analyze financial data and develop risk management strategies.
• Biomedical Instrumentation: This course explores the design and application of biomedical instruments, including sensors, measurement systems, and data acquisition techniques. Students will work on projects involving medical devices and health monitoring systems.

Project-Based Learning Philosophy

Project-based learning is a cornerstone of the engineering program at Shri Davara University Raipur. This approach emphasizes hands-on experience, collaboration, and real-world problem-solving. Students engage in both individual and group projects throughout their academic journey, culminating in a final-year capstone project.

The program includes mandatory mini-projects in the second and fourth years, where students work on specific engineering challenges under faculty supervision. These projects are designed to reinforce theoretical concepts and develop practical skills. Students are encouraged to apply their knowledge to real-world problems, often in collaboration with industry partners.

The final-year capstone project is a comprehensive endeavor that integrates all the knowledge and skills acquired during the program. Students work on a significant engineering challenge, often related to their specialization, and present their findings to a panel of experts. The project is evaluated based on innovation, technical execution, and presentation quality.

Students are supported throughout the project process by faculty mentors who provide guidance, resources, and feedback. The university also offers workshops and training sessions to help students develop project management and technical writing skills.

The project-based learning approach ensures that students are well-prepared for the demands of the engineering profession. It fosters creativity, critical thinking, and teamwork, while also providing opportunities for students to explore their interests and develop specialized skills.