Comprehensive Curriculum Overview
The Engineering program at S K S International University Mathura is designed to provide students with a well-rounded education that combines theoretical knowledge with practical application. The curriculum is structured across eight semesters, with each semester building upon the previous one to ensure progressive learning and skill development.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG105 | Introduction to Programming | 3-0-2-4 | - |
| 1 | ENG106 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-1-0-4 | - |
| 2 | ENG203 | Thermodynamics | 3-1-0-4 | - |
| 2 | ENG204 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | ENG205 | Computer Programming | 3-0-2-4 | ENG105 |
| 2 | ENG206 | Engineering Materials | 3-1-0-4 | - |
| 3 | ENG301 | Data Structures and Algorithms | 3-1-0-4 | ENG205 |
| 3 | ENG302 | Digital Logic Design | 3-1-0-4 | - |
| 3 | ENG303 | Fluid Mechanics | 3-1-0-4 | ENG203 |
| 3 | ENG304 | Strength of Materials | 3-1-0-4 | ENG204 |
| 3 | ENG305 | Signals and Systems | 3-1-0-4 | - |
| 3 | ENG306 | Computer Organization and Architecture | 3-1-0-4 | - |
| 4 | ENG401 | Operating Systems | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Control Systems | 3-1-0-4 | - |
| 4 | ENG403 | Machine Design | 3-1-0-4 | ENG204 |
| 4 | ENG404 | Power Plant Engineering | 3-1-0-4 | - |
| 4 | ENG405 | Electrical Machines | 3-1-0-4 | ENG202 |
| 4 | ENG406 | Environmental Engineering | 3-1-0-4 | - |
| 5 | ENG501 | Software Engineering | 3-1-0-4 | ENG301 |
| 5 | ENG502 | Advanced Mathematics for Engineers | 3-1-0-4 | ENG201 |
| 5 | ENG503 | Advanced Mechanics of Materials | 3-1-0-4 | ENG204 |
| 5 | ENG504 | Power Electronics | 3-1-0-4 | - |
| 5 | ENG505 | Renewable Energy Systems | 3-1-0-4 | - |
| 5 | ENG506 | Transportation Engineering | 3-1-0-4 | - |
| 6 | ENG601 | Database Management Systems | 3-1-0-4 | ENG301 |
| 6 | ENG602 | Advanced Control Systems | 3-1-0-4 | ENG402 |
| 6 | ENG603 | Finite Element Analysis | 3-1-0-4 | - |
| 6 | ENG604 | Industrial Engineering | 3-1-0-4 | - |
| 6 | ENG605 | Advanced Power Systems | 3-1-0-4 | - |
| 6 | ENG606 | Water Resources Engineering | 3-1-0-4 | - |
| 7 | ENG701 | Research Methodology | 2-0-0-2 | - |
| 7 | ENG702 | Capstone Project I | 3-0-0-3 | - |
| 7 | ENG703 | Advanced Topics in Engineering | 3-1-0-4 | - |
| 7 | ENG704 | Project Management | 3-1-0-4 | - |
| 7 | ENG705 | Professional Ethics and Social Responsibility | 2-0-0-2 | - |
| 8 | ENG801 | Capstone Project II | 6-0-0-6 | ENG702 |
| 8 | ENG802 | Industry Internship | 3-0-0-3 | - |
| 8 | ENG803 | Final Year Thesis | 4-0-0-4 | - |
| 8 | ENG804 | Elective Courses | 3-1-0-4 | - |
| 8 | ENG805 | Entrepreneurship and Innovation | 2-0-0-2 | - |
| 8 | ENG806 | Final Project Presentation | 1-0-0-1 | - |
Detailed Course Descriptions
The department's philosophy on project-based learning is rooted in the belief that students learn best when they engage actively with real-world problems and develop solutions through hands-on experience. This approach not only reinforces theoretical concepts but also cultivates critical thinking, problem-solving skills, and collaborative abilities essential for professional success.
Mini-projects are introduced in the third year and consist of two components: a semester-long project (2-3 months) that requires students to work in teams of 3-4 members. These projects are designed to be interdisciplinary, allowing students from different branches to collaborate on solutions to complex engineering challenges. The evaluation criteria include project proposal, mid-term progress report, final presentation, and peer assessment.
Final-year capstone projects or thesis work represent the culmination of a student's academic journey at S K S International University Mathura. Students are required to choose from a wide range of topics related to their specialization and work under the guidance of a faculty mentor who has expertise in that area. The project must demonstrate originality, technical depth, and practical relevance.
The selection process for projects and faculty mentors is highly competitive and involves a proposal submission followed by an interview with potential mentors. Students are encouraged to explore research opportunities with industry partners or government agencies to ensure their projects have real-world applications and impact.
Advanced Departmental Electives
Advanced departmental elective courses form a crucial part of the engineering curriculum at S K S International University Mathura, providing students with specialized knowledge and skills that align with current industry trends and emerging technologies.
The course 'Artificial Intelligence and Machine Learning' is designed to provide students with comprehensive understanding of AI concepts, algorithms, and applications. Students learn about neural networks, deep learning architectures, natural language processing, computer vision, and reinforcement learning. The course includes hands-on projects involving data analysis, model development, and deployment in real-world scenarios.
'Cybersecurity and Information Assurance' covers topics such as network security protocols, cryptography, ethical hacking, digital forensics, and information risk management. Students gain practical experience through labs involving penetration testing, vulnerability assessment, and secure system design. This course prepares graduates for careers in cybersecurity consulting, information security analysis, and compliance management.
'Advanced Control Systems' delves into modern control theory, state-space representation, digital control systems, and optimal control techniques. Students work on simulation projects using MATLAB/Simulink to model and analyze complex control systems. The course emphasizes practical implementation and real-time applications in industrial automation and robotics.
'Renewable Energy Systems' explores various renewable energy technologies including solar, wind, hydroelectric, and geothermal power generation. Students study energy conversion processes, system design principles, and grid integration challenges. Practical components include laboratory experiments on photovoltaic cells, wind turbines, and energy storage systems.
'Data Science and Analytics' introduces students to data mining, statistical analysis, predictive modeling, and machine learning applications in business contexts. The course covers big data technologies, data visualization tools, and advanced analytics techniques. Students work on real datasets from various industries to develop practical skills in data-driven decision making.
'Internet of Things (IoT) Applications' focuses on sensor networks, embedded systems, wireless communication protocols, and smart device development. Students build IoT projects involving environmental monitoring, home automation, and industrial control systems. The course emphasizes both hardware and software aspects of IoT development.
'Materials Science and Engineering' provides in-depth knowledge of material properties, processing techniques, and applications in engineering contexts. Students study metals, ceramics, polymers, composites, and nanomaterials through laboratory experiments and theoretical analysis. The course includes projects on materials selection for specific applications and performance optimization.
'Power Electronics and Drives' covers power conversion circuits, motor drives, and power system applications. Students learn about semiconductor devices, converter topologies, and control strategies for efficient power management. Practical components include design and testing of power electronic circuits and systems.
'Advanced Structural Analysis' explores complex structural behavior under various loading conditions including dynamic loads, seismic forces, and fatigue effects. Students use finite element methods and advanced computational tools to analyze structures. The course includes projects on bridge design, building analysis, and earthquake-resistant construction techniques.
'Transportation Engineering' covers transportation planning, traffic engineering, highway design, and urban mobility solutions. Students study transportation systems, infrastructure development, and sustainable mobility options. Practical components include traffic flow modeling, highway design projects, and urban transportation planning exercises.
'Environmental Impact Assessment' focuses on environmental regulations, impact assessment methodologies, and sustainable engineering practices. Students learn about environmental monitoring, pollution control technologies, and green building principles. Projects involve conducting environmental assessments for real-world development projects.
'Robotics and Automation' provides comprehensive coverage of robotic systems design, sensor integration, control systems, and artificial intelligence applications in robotics. Students work on projects involving autonomous robots, industrial automation, and human-robot interaction. The course includes both theoretical analysis and practical implementation components.
'Computer Vision and Image Processing' introduces students to image processing techniques, computer vision algorithms, and pattern recognition methods. Students learn about feature extraction, object detection, image segmentation, and deep learning applications in visual computing. Practical components include development of computer vision applications using Python and OpenCV libraries.
'Advanced Thermodynamics and Heat Transfer' covers advanced concepts in thermodynamic cycles, heat transfer mechanisms, and energy conversion processes. Students study refrigeration systems, combustion analysis, and renewable energy integration. The course includes laboratory experiments on thermal systems and computational modeling of heat transfer phenomena.
'Sustainable Engineering Design' emphasizes sustainable practices in engineering design and development. Students learn about life cycle assessment, green technology implementation, and sustainable infrastructure planning. Projects focus on developing environmentally friendly solutions to engineering challenges using renewable resources and efficient resource utilization.
The department also offers elective courses in specialized areas such as 'Advanced Manufacturing Processes,' 'Nanotechnology Applications,' 'Biomedical Engineering,' and 'Smart Grid Technologies.' These courses provide students with opportunities to explore emerging fields and develop expertise in niche areas that align with their interests and career aspirations.