Curriculum
The curriculum at Iimt University Meerut is meticulously designed to provide students with a comprehensive foundation in engineering sciences, followed by advanced knowledge in specialized domains. The program spans eight semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-0-0-3 | None |
| 1 | ENG102 | Engineering Physics | 3-0-0-3 | None |
| 1 | ENG103 | Engineering Chemistry | 3-0-0-3 | None |
| 1 | ENG104 | Engineering Graphics & Design | 2-0-0-2 | None |
| 1 | ENG105 | Introduction to Engineering | 2-0-0-2 | None |
| 1 | ENG106 | Basic Programming & Problem Solving | 3-0-0-3 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-0-0-3 | ENG101 |
| 2 | ENG202 | Electrical & Electronic Engineering Fundamentals | 3-0-0-3 | ENG102 |
| 2 | ENG203 | Mechanics of Solids | 3-0-0-3 | ENG101 |
| 2 | ENG204 | Engineering Materials & Metallurgy | 3-0-0-3 | ENG103 |
| 2 | ENG205 | Computer Programming Lab | 0-0-3-1 | ENG106 |
| 2 | ENG206 | Basic Electronics Lab | 0-0-3-1 | ENG202 |
| 3 | ENG301 | Engineering Mathematics III | 3-0-0-3 | ENG201 |
| 3 | ENG302 | Thermodynamics & Heat Transfer | 3-0-0-3 | ENG203 |
| 3 | ENG303 | Signals & Systems | 3-0-0-3 | ENG201 |
| 3 | ENG304 | Control Systems | 3-0-0-3 | ENG303 |
| 3 | ENG305 | Electromagnetic Field Theory | 3-0-0-3 | ENG202 |
| 3 | ENG306 | Lab for Signals & Systems | 0-0-3-1 | ENG303 |
| 4 | ENG401 | Probability & Statistics | 3-0-0-3 | ENG301 |
| 4 | ENG402 | Microprocessor & Microcontroller | 3-0-0-3 | ENG202 |
| 4 | ENG403 | Digital Logic & Design | 3-0-0-3 | ENG202 |
| 4 | ENG404 | Data Structures & Algorithms | 3-0-0-3 | ENG106 |
| 4 | ENG405 | Communication Engineering | 3-0-0-3 | ENG303 |
| 4 | ENG406 | Lab for Digital Logic & Microprocessors | 0-0-3-1 | ENG403, ENG402 |
| 5 | ENG501 | Advanced Mathematics | 3-0-0-3 | ENG401 |
| 5 | ENG502 | Power Electronics & Drives | 3-0-0-3 | ENG202 |
| 5 | ENG503 | Machine Design | 3-0-0-3 | ENG203 |
| 5 | ENG504 | Structural Analysis | 3-0-0-3 | ENG203 |
| 5 | ENG505 | Software Engineering | 3-0-0-3 | ENG404 |
| 5 | ENG506 | Lab for Power Electronics & Drives | 0-0-3-1 | ENG502 |
| 6 | ENG601 | Advanced Control Systems | 3-0-0-3 | ENG304 |
| 6 | ENG602 | Renewable Energy Systems | 3-0-0-3 | ENG202, ENG302 |
| 6 | ENG603 | Robotics & Automation | 3-0-0-3 | ENG402, ENG403 |
| 6 | ENG604 | Advanced Data Structures & Algorithms | 3-0-0-3 | ENG404 |
| 6 | ENG605 | Computer Networks | 3-0-0-3 | ENG405 |
| 6 | ENG606 | Lab for Robotics & Automation | 0-0-3-1 | ENG603 |
| 7 | ENG701 | Artificial Intelligence & Machine Learning | 3-0-0-3 | ENG505 |
| 7 | ENG702 | Cybersecurity & Network Defense | 3-0-0-3 | ENG605 |
| 7 | ENG703 | Advanced Structural Engineering | 3-0-0-3 | ENG504 |
| 7 | ENG704 | Advanced Thermodynamics & Heat Transfer | 3-0-0-3 | ENG302 |
| 7 | ENG705 | Industrial Management & Operations Research | 3-0-0-3 | ENG501 |
| 7 | ENG706 | Lab for AI & Machine Learning | 0-0-3-1 | ENG701 |
| 8 | ENG801 | Capstone Project | 0-0-6-6 | All previous semesters |
| 8 | ENG802 | Internship | 0-0-0-6 | All previous semesters |
Beyond the core curriculum, students can choose from a wide range of advanced departmental electives that provide deeper specialization and hands-on experience:
- Deep Learning & Neural Networks: This course explores neural network architectures, backpropagation, convolutional networks, recurrent networks, and reinforcement learning algorithms.
- Cryptography & Information Security: The course covers symmetric and asymmetric encryption, digital signatures, hash functions, and secure communication protocols.
- Advanced Structural Analysis: Focuses on finite element methods, structural dynamics, and seismic design principles for complex structures.
- Renewable Energy Technologies: Covers solar, wind, hydroelectric, and geothermal energy systems, including energy conversion efficiency and environmental impact assessments.
- Advanced Control Systems: Examines modern control theory, state-space representation, optimal control, and robust control strategies.
- Embedded Systems Design: Involves designing embedded software for microcontrollers, real-time systems, and IoT applications using C/C++ and assembly languages.
- Robotics & Automation: Covers robotic kinematics, sensor integration, motion planning, and industrial automation techniques.
- Data Mining & Big Data Analytics: Explores data preprocessing, clustering algorithms, classification models, and big data frameworks like Hadoop and Spark.
- Advanced Materials Science: Focuses on nanomaterials, composite materials, smart materials, and their applications in engineering systems.
- Environmental Impact Assessment: Teaches methods for assessing environmental effects of engineering projects and developing mitigation strategies.
The department emphasizes project-based learning as a cornerstone of the educational experience. From the second year onwards, students engage in mini-projects that allow them to apply theoretical concepts to practical problems. These projects are typically team-based and involve collaboration with industry partners or research groups.
Mini-projects span various domains such as renewable energy systems, smart city infrastructure, automation solutions, and healthcare technologies. Each project is guided by faculty mentors who provide supervision, feedback, and industry insights throughout the process.
The final-year capstone project represents a culmination of all learned skills and knowledge. Students work on a significant engineering problem or innovation that addresses real-world challenges. Projects are often sponsored by industry partners, offering students the opportunity to contribute to meaningful solutions while gaining valuable professional experience.