Comprehensive Course Structure
The engineering program at Rk University Rajkot is structured to provide a comprehensive and progressive educational experience over eight semesters. The curriculum is designed to build upon foundational knowledge and gradually introduce advanced concepts, ensuring that students are well-prepared for professional practice and further studies.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Physics for Engineering | 3-1-0-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG104 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ENG105 | Engineering Graphics | 2-1-0-3 | None |
| 1 | ENG106 | Programming for Engineers | 3-1-0-4 | None |
| 1 | ENG107 | Workshop Practice | 0-0-2-2 | 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 | Electrical Circuits | 3-1-0-4 | ENG104 |
| 2 | ENG205 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG206 | Engineering Materials | 3-1-0-4 | ENG103 |
| 2 | ENG207 | Computer Programming Lab | 0-0-2-2 | ENG106 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Fluid Mechanics | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG304 | Control Systems | 3-1-0-4 | ENG204 |
| 3 | ENG305 | Strength of Materials | 3-1-0-4 | ENG202 |
| 3 | ENG306 | Computer Architecture | 3-1-0-4 | ENG204 |
| 3 | ENG307 | Electronics Lab | 0-0-2-2 | ENG204 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Machine Design | 3-1-0-4 | ENG305 |
| 4 | ENG403 | Electromagnetic Fields | 3-1-0-4 | ENG303 |
| 4 | ENG404 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 4 | ENG405 | Design and Analysis of Algorithms | 3-1-0-4 | ENG206 |
| 4 | ENG406 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Embedded Systems Lab | 0-0-2-2 | ENG406 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Advanced Mechanics | 3-1-0-4 | ENG302 |
| 5 | ENG503 | Advanced Signals and Systems | 3-1-0-4 | ENG303 |
| 5 | ENG504 | Advanced Control Systems | 3-1-0-4 | ENG304 |
| 5 | ENG505 | Advanced Computer Architecture | 3-1-0-4 | ENG306 |
| 5 | ENG506 | Advanced Data Structures | 3-1-0-4 | ENG405 |
| 5 | ENG507 | Advanced Microprocessors Lab | 0-0-2-2 | ENG406 |
| 6 | ENG601 | Special Topics in Engineering | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Research Methodology | 3-1-0-4 | ENG501 |
| 6 | ENG603 | Advanced Project Management | 3-1-0-4 | ENG501 |
| 6 | ENG604 | Advanced Ethics in Engineering | 3-1-0-4 | ENG501 |
| 6 | ENG605 | Advanced Engineering Design | 3-1-0-4 | ENG502 |
| 6 | ENG606 | Advanced Computational Methods | 3-1-0-4 | ENG501 |
| 6 | ENG607 | Advanced Research Lab | 0-0-2-2 | ENG602 |
| 7 | ENG701 | Industry-Specific Electives I | 3-1-0-4 | ENG601 |
| 7 | ENG702 | Industry-Specific Electives II | 3-1-0-4 | ENG601 |
| 7 | ENG703 | Industry-Specific Electives III | 3-1-0-4 | ENG601 |
| 7 | ENG704 | Industry-Specific Electives IV | 3-1-0-4 | ENG601 |
| 7 | ENG705 | Internship Program | 0-0-0-6 | ENG601 |
| 7 | ENG706 | Capstone Project | 0-0-0-6 | ENG601 |
| 7 | ENG707 | Final Year Project Lab | 0-0-2-2 | ENG601 |
| 8 | ENG801 | Advanced Capstone Project | 0-0-0-6 | ENG706 |
| 8 | ENG802 | Professional Ethics | 3-1-0-4 | ENG604 |
| 8 | ENG803 | Advanced Industry Collaboration | 3-1-0-4 | ENG701 |
| 8 | ENG804 | Final Industry Presentation | 0-0-0-4 | ENG801 |
Advanced Departmental Elective Courses
Advanced departmental elective courses are designed to provide students with specialized knowledge and skills in their chosen fields. These courses are offered in the later semesters and are tailored to meet the needs of students who wish to deepen their expertise in specific areas of engineering.
Advanced Machine Learning
This course delves into advanced algorithms and models in machine learning, including deep learning architectures, reinforcement learning, and neural network optimization. Students will explore real-world applications of these techniques in areas such as computer vision, natural language processing, and robotics. The course emphasizes practical implementation through hands-on projects and research papers.
Cybersecurity and Network Defense
This course covers advanced cybersecurity principles, including network security, cryptography, and risk management. Students will learn to design and implement secure systems, understand threat landscapes, and develop strategies for defending against cyber attacks. The course includes simulations and labs that replicate real-world security challenges.
Advanced Structural Analysis
This course explores complex structural systems and their analysis under various loads and conditions. Students will study advanced topics such as dynamic analysis, finite element methods, and structural optimization. The course includes practical applications in building design and construction, with emphasis on safety and sustainability.
Biomedical Signal Processing
This course focuses on the analysis and processing of biomedical signals, including ECG, EEG, and MRI data. Students will learn to apply signal processing techniques to extract meaningful information from biological systems. The course includes practical labs with medical data and research projects that address real-world healthcare challenges.
Renewable Energy Systems
This course covers the design and implementation of renewable energy systems, including solar, wind, and hydroelectric power. Students will study energy storage, smart grid technologies, and sustainable engineering practices. The course includes hands-on experience with renewable energy systems and practical projects in sustainable design.
Robotics and Automation
This course explores the design and control of robotic systems, including sensors, actuators, and control algorithms. Students will develop autonomous robots and learn to integrate artificial intelligence with robotic systems. The course includes practical labs and projects that involve building and programming robots for various applications.
Transportation Systems Engineering
This course covers the planning, design, and operation of transportation systems, including traffic flow, logistics, and infrastructure development. Students will study transportation modeling, simulation, and optimization techniques. The course includes practical experience in transportation planning and analysis.
Materials Science and Engineering
This course explores the structure, properties, and applications of materials, including polymers, ceramics, metals, and composites. Students will study materials characterization, processing, and design for specific applications. The course includes laboratory work and research projects focused on developing new materials for advanced applications.
Data Science and Analytics
This course focuses on data analysis techniques and tools used in engineering and science. Students will learn to apply statistical methods, machine learning, and data visualization to solve complex problems. The course includes hands-on projects with real datasets and practical applications in various industries.
Smart Grid and Power Systems
This course covers the design and operation of smart grid systems and power distribution networks. Students will study energy storage, grid optimization, and renewable energy integration. The course includes practical applications in power system design and analysis, with emphasis on sustainability and efficiency.
Project-Based Learning Philosophy
Project-based learning is a core component of the engineering curriculum at Rk University Rajkot. This approach emphasizes hands-on experience, critical thinking, and collaboration. Students are encouraged to apply theoretical knowledge to real-world problems, fostering innovation and creativity.
The program includes both mini-projects and a final-year thesis/capstone project. Mini-projects are undertaken in the earlier semesters and provide students with foundational experience in project development and teamwork. These projects are typically completed in teams and involve planning, execution, and presentation.
The final-year thesis/capstone project is a comprehensive endeavor that integrates all the knowledge and skills acquired throughout the program. Students work closely with faculty mentors to select a project topic, conduct research, and develop a solution or innovation. The project is evaluated based on technical excellence, creativity, and impact.
Students are supported throughout the project process by dedicated faculty mentors and access to advanced laboratory facilities. The university also provides resources for project funding, research opportunities, and industry collaboration, ensuring that students have the tools they need to succeed.
The project-based learning approach not only enhances technical skills but also develops soft skills such as communication, leadership, and problem-solving. Students learn to work effectively in teams, manage projects, and present their work to diverse audiences. This holistic development prepares students for success in both academic and professional settings.