Comprehensive Course Structure and Curriculum
The Engineering program at The Neotia University West Bengal is structured over 8 semesters, with a carefully designed curriculum that balances theoretical knowledge with practical application. This comprehensive approach ensures that students develop both foundational skills and specialized expertise.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineering | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineering | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Graphics & Design | 2-0-2-3 | - |
| 1 | ENG105 | Introduction to Engineering | 2-0-0-2 | - |
| 1 | ENG106 | English for Engineers | 2-0-0-2 | - |
| 1 | ENG107 | Computer Programming | 3-0-2-4 | - |
| 1 | ENG108 | Physical Education & Sports | 0-0-0-1 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Basic Electrical Engineering | 3-1-0-4 | - |
| 2 | ENG203 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG204 | Materials Science | 3-1-0-4 | - |
| 2 | ENG205 | Computer Organization & Architecture | 3-1-0-4 | ENG107 |
| 2 | ENG206 | Electronic Devices & Circuits | 3-1-0-4 | - |
| 2 | ENG207 | Engineering Drawing & Design | 2-0-2-3 | ENG104 |
| 2 | ENG208 | Workshop Practice | 0-0-2-1 | - |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Thermodynamics | 3-1-0-4 | ENG203 |
| 3 | ENG303 | Fluid Mechanics | 3-1-0-4 | ENG203 |
| 3 | ENG304 | Strength of Materials | 3-1-0-4 | - |
| 3 | ENG305 | Digital Logic & Design | 3-1-0-4 | ENG206 |
| 3 | ENG306 | Signals & Systems | 3-1-0-4 | ENG201 |
| 3 | ENG307 | Control Systems | 3-1-0-4 | - |
| 3 | ENG308 | Computer Networks | 3-1-0-4 | ENG205 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Mechanics of Machines | 3-1-0-4 | ENG304 |
| 4 | ENG404 | Design & Analysis of Algorithms | 3-1-0-4 | ENG205 |
| 4 | ENG405 | Microprocessors & Microcontrollers | 3-1-0-4 | ENG305 |
| 4 | ENG406 | Data Structures & Algorithms | 3-1-0-4 | ENG205 |
| 4 | ENG407 | Electromagnetic Fields | 3-1-0-4 | ENG202 |
| 4 | ENG408 | Operations Research | 3-1-0-4 | ENG301 |
| 5 | ENG501 | Advanced Mathematics for Engineering | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Industrial Engineering | 3-1-0-4 | - |
| 5 | ENG503 | Power Systems | 3-1-0-4 | ENG202 |
| 5 | ENG504 | Manufacturing Processes | 3-1-0-4 | - |
| 5 | ENG505 | Machine Learning | 3-1-0-4 | ENG406 |
| 5 | ENG506 | Database Management Systems | 3-1-0-4 | ENG205 |
| 5 | ENG507 | Computer Architecture | 3-1-0-4 | ENG205 |
| 5 | ENG508 | Embedded Systems | 3-1-0-4 | ENG305 |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG307 |
| 6 | ENG602 | Renewable Energy Systems | 3-1-0-4 | - |
| 6 | ENG603 | Aerospace Engineering | 3-1-0-4 | - |
| 6 | ENG604 | Robotics & Automation | 3-1-0-4 | - |
| 6 | ENG605 | Internet of Things | 3-1-0-4 | ENG408 |
| 6 | ENG606 | Cybersecurity & Network Security | 3-1-0-4 | - |
| 6 | ENG607 | Data Analytics & Visualization | 3-1-0-4 | ENG506 |
| 6 | ENG608 | Advanced Software Engineering | 3-1-0-4 | ENG507 |
| 7 | ENG701 | Research Methodology | 2-0-0-2 | - |
| 7 | ENG702 | Capstone Project I | 0-0-4-4 | - |
| 7 | ENG703 | Specialized Elective I | 3-1-0-4 | - |
| 7 | ENG704 | Specialized Elective II | 3-1-0-4 | - |
| 7 | ENG705 | Industry Internship | 0-0-0-6 | - |
| 8 | ENG801 | Capstone Project II | 0-0-4-6 | ENG702 |
| 8 | ENG802 | Specialized Elective III | 3-1-0-4 | - |
| 8 | ENG803 | Specialized Elective IV | 3-1-0-4 | - |
| 8 | ENG804 | Project Management | 2-0-0-2 | - |
| 8 | ENG805 | Entrepreneurship & Innovation | 2-0-0-2 | - |
Detailed Course Descriptions for Advanced Departmental Electives
Departmental electives at The Neotia University West Bengal offer students the opportunity to delve deeper into specialized areas of interest and develop expertise in emerging technologies.
Machine Learning (ENG505): This course provides an in-depth understanding of machine learning algorithms, including supervised and unsupervised learning techniques. Students will learn about neural networks, deep learning architectures, natural language processing, and computer vision. The course emphasizes practical implementation through hands-on projects using Python and TensorFlow.
Database Management Systems (ENG506): This elective covers advanced database concepts including normalization, transaction management, indexing, query optimization, and distributed databases. Students will gain experience with SQL, NoSQL databases, and database design principles. The course includes practical sessions on database administration and performance tuning.
Computer Architecture (ENG507): This course explores the design and implementation of computer systems at the hardware-software interface level. Topics include instruction set architecture, pipeline design, memory hierarchy, cache organization, and parallel processing techniques. Students will work with simulation tools to understand system performance characteristics.
Embedded Systems (ENG508): This elective focuses on designing and developing embedded systems for real-time applications. Students will learn about microcontroller architectures, real-time operating systems, device drivers, and hardware-software co-design. The course includes laboratory sessions where students build working embedded systems using ARM processors.
Advanced Control Systems (ENG601): This advanced course covers modern control system design techniques including state-space methods, optimal control, robust control, and nonlinear control systems. Students will use MATLAB/Simulink for system modeling and simulation, gaining practical experience in designing controllers for complex dynamic systems.
Renewable Energy Systems (ENG602): This course explores the principles and technologies of renewable energy generation including solar, wind, hydroelectric, and geothermal power. Students will study energy storage systems, smart grid integration, and environmental impact assessment. The curriculum includes laboratory experiments with actual renewable energy equipment.
Robotics & Automation (ENG604): This elective provides comprehensive coverage of robotics principles including kinematics, dynamics, control systems, sensor integration, and artificial intelligence applications in robotics. Students will design, build, and program autonomous robots for various applications using ROS (Robot Operating System).
Internet of Things (ENG605): This course covers IoT architecture, communication protocols, sensor networks, edge computing, and cloud integration. Students will develop IoT solutions using platforms like Arduino, Raspberry Pi, and cloud services such as AWS IoT Core and Azure IoT Hub.
Cybersecurity & Network Security (ENG606): This advanced course addresses current cybersecurity challenges including network attacks, encryption methods, security protocols, and incident response. Students will learn about penetration testing, vulnerability assessment, and security architecture design through hands-on laboratory exercises.
Data Analytics & Visualization (ENG607): This elective focuses on statistical analysis, data mining, machine learning applications in business intelligence, and visualization techniques. Students will work with real-world datasets using tools like Python, R, Tableau, and Power BI to extract insights and create compelling visual representations.
Advanced Software Engineering (ENG608): This course covers modern software development practices including agile methodologies, continuous integration/continuous deployment (CI/CD), microservices architecture, and DevOps principles. Students will work on large-scale projects using version control systems and automated testing frameworks.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that students learn best when they are actively engaged in solving real-world problems. This approach transforms abstract theoretical concepts into practical applications, fostering deeper understanding and retention.
Mini-projects are introduced from the second year of the program, starting with small-scale experiments and gradually progressing to more complex challenges. These projects typically span 4-6 weeks and involve teams of 3-5 students working under faculty mentorship. The evaluation criteria include technical execution, innovation, presentation skills, and teamwork effectiveness.
The final-year capstone project represents the culmination of the student's academic journey. Students work on a significant engineering problem that has real-world relevance, often in collaboration with industry partners or research organizations. The project requires extensive research, design, implementation, testing, and documentation.
Project selection involves a comprehensive process where students can propose their own ideas or choose from faculty-recommended topics. Faculty mentors are assigned based on the project scope and student interests. The university provides resources including laboratory access, software licenses, funding for materials, and expert consultation throughout the project development cycle.