Comprehensive Course List for All 8 Semesters
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | MEC101 | Introduction to Engineering | 2-0-2-3 | - |
| 1 | CSE101 | Programming Fundamentals | 2-0-2-3 | - |
| 2 | ENG102 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY102 | Physics Lab | 0-0-2-2 | PHY101 |
| 2 | CHE102 | Chemistry Lab | 0-0-2-2 | CHE101 |
| 2 | MEC102 | Engineering Drawing | 2-0-2-3 | - |
| 2 | CSE102 | Data Structures and Algorithms | 3-1-0-4 | CSE101 |
| 3 | ENG201 | Engineering Mathematics III | 3-1-0-4 | ENG102 |
| 3 | PHY201 | Electromagnetic Fields and Waves | 3-1-0-4 | PHY102 |
| 3 | CHE201 | Organic Chemistry | 3-1-0-4 | CHE102 |
| 3 | MEC201 | Mechanics of Materials | 3-1-0-4 | - |
| 3 | CSE201 | Database Management Systems | 3-1-0-4 | CSE102 |
| 4 | ENG202 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 4 | PHY202 | Thermodynamics Lab | 0-0-2-2 | PHY201 |
| 4 | CHE202 | Inorganic Chemistry Lab | 0-0-2-2 | CHE201 |
| 4 | MEC202 | Strength of Materials | 3-1-0-4 | MEC201 |
| 4 | CSE202 | Computer Organization | 3-1-0-4 | CSE201 |
| 5 | ENG301 | Linear Algebra and Differential Equations | 3-1-0-4 | ENG202 |
| 5 | PHY301 | Quantum Physics | 3-1-0-4 | PHY202 |
| 5 | CHE301 | Physical Chemistry | 3-1-0-4 | CHE202 |
| 5 | MEC301 | Fluid Mechanics | 3-1-0-4 | MEC202 |
| 5 | CSE301 | Operating Systems | 3-1-0-4 | CSE202 |
| 6 | ENG302 | Numerical Methods | 3-1-0-4 | ENG301 |
| 6 | PHY302 | Nuclear Physics Lab | 0-0-2-2 | PHY301 |
| 6 | CHE302 | Chemical Engineering Principles | 3-1-0-4 | CHE301 |
| 6 | MEC302 | Heat Transfer | 3-1-0-4 | MEC301 |
| 6 | CSE302 | Software Engineering | 3-1-0-4 | CSE301 |
| 7 | ENG401 | Advanced Mathematics | 3-1-0-4 | ENG302 |
| 7 | PHY401 | Optics and Laser Physics | 3-1-0-4 | PHY302 |
| 7 | CHE401 | Biochemistry | 3-1-0-4 | CHE302 |
| 7 | MEC401 | Machine Design | 3-1-0-4 | MEC302 |
| 7 | CSE401 | Web Technologies | 3-1-0-4 | CSE302 |
| 8 | ENG402 | Mathematical Modeling | 3-1-0-4 | ENG401 |
| 8 | PHY402 | Condensed Matter Physics Lab | 0-0-2-2 | PHY401 |
| 8 | CHE402 | Environmental Chemistry | 3-1-0-4 | CHE401 |
| 8 | MEC402 | Advanced Manufacturing | 3-1-0-4 | MEC401 |
| 8 | CSE402 | Capstone Project | 4-0-0-4 | CSE401 |
Advanced Departmental Elective Courses:
Deep Learning and Neural Networks (CSE403)
This course delves into the theoretical foundations of neural networks, including supervised and unsupervised learning algorithms. Students learn to design and implement deep learning models using frameworks like TensorFlow and PyTorch.
Cybersecurity Fundamentals (CSE404)
Students explore the principles of secure system design and network security. The course covers cryptography, ethical hacking, and incident response strategies through hands-on labs.
Machine Learning for Data Science (CSE405)
This elective focuses on applying ML techniques to large datasets. Students use tools like Scikit-learn and Keras to perform data analysis and build predictive models.
Embedded Systems Design (CSE406)
The course introduces students to embedded system architecture and real-time programming. Topics include microcontroller programming, sensor integration, and IoT applications.
Database Optimization Techniques (CSE407)
This advanced elective teaches database design principles and optimization strategies. Students learn query tuning, indexing, and performance monitoring techniques.
Software Architecture and Design Patterns (CSE408)
Students study architectural patterns and design principles for scalable software systems. The course emphasizes modern frameworks like Spring Boot and Angular.
Signal Processing and Communications (ECE301)
This course covers signal processing theory and its applications in communication systems. Students work with MATLAB and implement digital filters.
Control Systems Engineering (ECE302)
The course focuses on control theory and its practical implementation in industrial systems. Topics include feedback control, system modeling, and simulation using Simulink.
Power Electronics and Drives (ECE303)
This elective explores power conversion techniques and motor drives. Students design converters and analyze their efficiency under different load conditions.
Advanced VLSI Design (ECE304)
The course covers advanced VLSI design methodologies, including layout design, verification, and testing. Students use CAD tools like Cadence to implement circuits.
Optical Fiber Communications (ECE305)
This elective teaches the principles of fiber optic transmission systems. Students study modulation techniques, signal propagation, and system performance analysis.
Industrial Automation and Robotics (MEC301)
The course introduces automation technologies in manufacturing environments. Students learn PLC programming, robot kinematics, and industrial communication protocols.
Advanced Materials Science (MEC302)
This elective explores modern materials and their applications in engineering systems. Topics include nanomaterials, composites, and smart materials.
Sustainable Construction Techniques (CIV301)
The course focuses on green building practices and sustainable construction methods. Students study LEED certification, energy-efficient design, and environmental impact assessment.
Transportation Planning and Management (CIV302)
This elective covers urban transportation planning and management strategies. Students analyze traffic flow models and design intelligent transport systems.
Environmental Impact Assessment (CIV303)
The course teaches students how to evaluate environmental impacts of infrastructure projects. Topics include pollution control, waste management, and regulatory compliance.
Smart Infrastructure Systems (CIV304)
This elective explores the integration of sensors and automation in infrastructure systems. Students study smart grids, intelligent buildings, and urban monitoring systems.
The department's philosophy on project-based learning emphasizes real-world problem-solving through structured mini-projects and capstone experiences. Mini-projects are undertaken in the second year and involve working with industry partners or faculty research teams to address practical challenges.
Final-year projects are conducted under the guidance of senior faculty members. Students select topics aligned with their interests and career goals, ensuring personalized mentorship and academic rigor. The project evaluation criteria include innovation, technical depth, presentation quality, and peer review outcomes.