Comprehensive Course Structure
The engineering program at Shyam University Dausa is structured over 8 semesters, with a carefully curated blend of core engineering subjects, departmental electives, science electives, and laboratory courses. The curriculum is designed to provide students with a strong foundation in engineering principles while allowing them to explore specialized areas of interest.
| 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 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ENG105 | Engineering Graphics | 2-1-0-3 | None |
| 1 | ENG106 | Programming for Engineers | 2-1-0-3 | None |
| 1 | ENG107 | Engineering Workshop | 0-0-2-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Engineering Mechanics | 3-1-0-4 | None |
| 2 | ENG203 | Electronics and Communication | 3-1-0-4 | ENG104 |
| 2 | ENG204 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Engineering Materials | 3-1-0-4 | ENG103 |
| 2 | ENG206 | Engineering Ethics | 2-0-0-2 | None |
| 2 | ENG207 | Electrical Workshop | 0-0-2-2 | ENG104 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Fluid Mechanics | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Control Systems | 3-1-0-4 | ENG203 |
| 3 | ENG304 | Manufacturing Processes | 3-1-0-4 | ENG205 |
| 3 | ENG305 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG306 | Computer Organization | 3-1-0-4 | ENG106 |
| 3 | ENG307 | Project Lab I | 0-0-2-2 | ENG207 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | 3-1-0-4 | ENG204 |
| 4 | ENG403 | Electrical Machines | 3-1-0-4 | ENG203 |
| 4 | ENG404 | Design of Machine Elements | 3-1-0-4 | ENG202 |
| 4 | ENG405 | Probability and Statistics | 3-1-0-4 | ENG301 |
| 4 | ENG406 | Operating Systems | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Project Lab II | 0-0-2-2 | ENG307 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Hydraulic Machines | 3-1-0-4 | ENG302 |
| 5 | ENG503 | Power Systems | 3-1-0-4 | ENG403 |
| 5 | ENG504 | Computer Networks | 3-1-0-4 | ENG406 |
| 5 | ENG505 | Engineering Management | 3-1-0-4 | None |
| 5 | ENG506 | Advanced Control Systems | 3-1-0-4 | ENG303 |
| 5 | ENG507 | Project Lab III | 0-0-2-2 | ENG407 |
| 6 | ENG601 | Optimization Techniques | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Renewable Energy Systems | 3-1-0-4 | ENG502 |
| 6 | ENG603 | Robotics and Automation | 3-1-0-4 | ENG506 |
| 6 | ENG604 | Software Engineering | 3-1-0-4 | ENG406 |
| 6 | ENG605 | Advanced Materials | 3-1-0-4 | ENG304 |
| 6 | ENG606 | Research Methodology | 3-1-0-4 | ENG505 |
| 6 | ENG607 | Project Lab IV | 0-0-2-2 | ENG507 |
| 7 | ENG701 | Capstone Project I | 0-0-4-6 | ENG607 |
| 7 | ENG702 | Advanced Topics in Engineering | 3-1-0-4 | ENG601 |
| 7 | ENG703 | Industrial Training | 0-0-0-2 | ENG606 |
| 7 | ENG704 | Elective Course I | 3-1-0-4 | None |
| 7 | ENG705 | Elective Course II | 3-1-0-4 | None |
| 7 | ENG706 | Elective Course III | 3-1-0-4 | None |
| 7 | ENG707 | Internship | 0-0-0-4 | None |
| 8 | ENG801 | Capstone Project II | 0-0-4-6 | ENG701 |
| 8 | ENG802 | Advanced Elective I | 3-1-0-4 | ENG704 |
| 8 | ENG803 | Advanced Elective II | 3-1-0-4 | ENG705 |
| 8 | ENG804 | Advanced Elective III | 3-1-0-4 | ENG706 |
| 8 | ENG805 | Research Thesis | 0-0-0-8 | ENG606 |
| 8 | ENG806 | Entrepreneurship | 2-0-0-2 | None |
| 8 | ENG807 | Professional Development | 2-0-0-2 | None |
Detailed Departmental Elective Courses
Departmental electives in the engineering program at Shyam University Dausa are designed to provide students with specialized knowledge and skills in their chosen areas of interest. These courses are taught by experienced faculty members and are aligned with current industry trends and research developments.
Advanced Artificial Intelligence and Machine Learning
This course introduces students to the fundamental concepts of artificial intelligence and machine learning, including neural networks, deep learning, reinforcement learning, and natural language processing. Students will learn to implement and evaluate machine learning models using Python and TensorFlow, and will work on real-world projects involving image recognition, recommendation systems, and predictive analytics.
Cybersecurity and Information Assurance
This course covers the principles and practices of cybersecurity, including network security, cryptography, ethical hacking, and risk management. Students will gain hands-on experience with security tools and techniques, and will learn to design and implement secure systems to protect against cyber threats. The course also includes case studies of real-world security breaches and their mitigation strategies.
Renewable Energy Systems
This course explores the technologies and systems used in renewable energy, including solar, wind, hydro, and geothermal energy. Students will learn about energy conversion processes, system design, and integration challenges. The course includes laboratory sessions on solar panel testing, wind turbine modeling, and energy storage systems.
Robotics and Automation
This course provides an in-depth understanding of robotics and automation technologies, including robot kinematics, control systems, sensor integration, and programming. Students will work on designing and building robotic systems, and will gain experience with simulation software and real-world applications in manufacturing and healthcare.
Advanced Materials Science
This course covers the structure, properties, and applications of advanced materials, including composites, nanomaterials, and smart materials. Students will learn to analyze material behavior under various conditions, and will gain experience with material characterization techniques and computational modeling.
Software Engineering and DevOps
This course focuses on software development methodologies, including agile and DevOps practices. Students will learn to design and implement software systems using modern development tools and frameworks, and will gain experience with continuous integration and deployment pipelines. The course includes hands-on projects involving cloud-based software development and deployment.
Industrial Systems and Process Optimization
This course explores the principles and practices of industrial systems design and optimization, including operations research, quality control, and supply chain management. Students will learn to model and optimize complex systems, and will gain experience with simulation tools and optimization algorithms.
Power Electronics and Drives
This course covers the design and analysis of power electronic circuits and drives, including converters, inverters, and motor drives. Students will learn to design and test power electronic systems, and will gain experience with simulation tools and real-world applications in renewable energy and electric vehicles.
Data Science and Analytics
This course introduces students to data science and analytics, including data mining, statistical analysis, and machine learning. Students will learn to use Python and R for data analysis, and will work on real-world projects involving big data and predictive modeling. The course also covers data visualization and business intelligence tools.
Advanced Control Systems
This course covers advanced topics in control systems, including state-space analysis, optimal control, and robust control. Students will learn to design and analyze control systems for complex engineering applications, and will gain experience with simulation tools and real-world control systems.
Project-Based Learning Philosophy
The engineering program at Shyam University Dausa places a strong emphasis on project-based learning, which is integrated throughout the curriculum. This approach ensures that students gain practical experience and develop critical problem-solving skills while working on real-world engineering challenges.
Mini-projects are introduced in the third and fourth semesters, allowing students to apply theoretical knowledge to practical problems. These projects are typically completed in teams and are supervised by faculty members. Students are encouraged to select projects that align with their interests and career goals, and are provided with resources and mentorship to support their work.
The final-year capstone project is a comprehensive, multi-semester endeavor that allows students to demonstrate their mastery of engineering principles and their ability to innovate. Students work on a significant project under the guidance of a faculty mentor, often in collaboration with industry partners. The project includes a detailed design, implementation, testing, and documentation phase, culminating in a presentation and defense before a panel of experts.
Students are encouraged to select projects that address real-world challenges, and are supported in finding suitable mentors and resources. The university provides access to advanced tools, laboratories, and industry partnerships to ensure that students can successfully complete their projects and gain valuable experience for their future careers.