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Fees
₹8,50,000
Placement
92.0%
Avg Package
₹5,40,000
Highest Package
₹9,50,000
Fees
₹8,50,000
Placement
92.0%
Avg Package
₹5,40,000
Highest Package
₹9,50,000
Seats
120
Students
1,200
Seats
120
Students
1,200
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | MTH101 | Calculus I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | CHM101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG101 | English Communication | 2-0-0-2 | - |
| 1 | ECO101 | Economics for Engineers | 3-0-0-3 | - |
| 1 | CSE101 | Introduction to Programming | 2-0-2-4 | - |
| 1 | ENG102 | Engineering Graphics | 2-0-2-4 | - |
| 1 | LAB101 | Basic Science Lab | 0-0-3-2 | - |
| 2 | MTH201 | Calculus II | 3-1-0-4 | MTH101 |
| 2 | PHY201 | Physics of Materials | 3-1-0-4 | PHY101 |
| 2 | CHM201 | Organic Chemistry | 3-1-0-4 | CHM101 |
| 2 | CSE201 | Data Structures and Algorithms | 3-1-0-4 | CSE101 |
| 2 | ECE201 | Digital Logic Design | 3-1-0-4 | - |
| 2 | MEE201 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | LIT201 | Soft Skills Workshop | 2-0-0-2 | - |
| 3 | MTH301 | Statistics and Probability | 3-1-0-4 | MTH201 |
| 3 | ECE301 | Circuit Analysis | 3-1-0-4 | ECE201 |
| 3 | MEE301 | Thermodynamics | 3-1-0-4 | MEE201 |
| 3 | CSE301 | Object-Oriented Programming | 3-1-0-4 | CSE201 |
| 3 | CIV301 | Structural Mechanics | 3-1-0-4 | - |
| 3 | LIT301 | Communication Skills | 2-0-0-2 | - |
| 4 | MTH401 | Differential Equations | 3-1-0-4 | MTH301 |
| 4 | ECE401 | Signal and Systems | 3-1-0-4 | ECE301 |
| 4 | MEE401 | Fluid Mechanics | 3-1-0-4 | MEE301 |
| 4 | CSE401 | Database Management Systems | 3-1-0-4 | CSE301 |
| 4 | CIV401 | Geotechnical Engineering | 3-1-0-4 | CIV301 |
| 4 | LIT401 | Leadership Training | 2-0-0-2 | - |
| 5 | CSE501 | Operating Systems | 3-1-0-4 | CSE401 |
| 5 | ECE501 | Embedded Systems | 3-1-0-4 | ECE401 |
| 5 | MEE501 | Machine Design | 3-1-0-4 | MEE401 |
| 5 | CIV501 | Transportation Engineering | 3-1-0-4 | CIV401 |
| 5 | DEP501 | Advanced Elective I | 3-1-0-4 | - |
| 6 | CSE601 | Software Engineering | 3-1-0-4 | CSE501 |
| 6 | ECE601 | Wireless Communication | 3-1-0-4 | ECE501 |
| 6 | MEE601 | Heat Transfer | 3-1-0-4 | MEE501 |
| 6 | CIV601 | Environmental Engineering | 3-1-0-4 | CIV501 |
| 6 | DEP601 | Advanced Elective II | 3-1-0-4 | - |
| 7 | CSE701 | Artificial Intelligence | 3-1-0-4 | CSE601 |
| 7 | ECE701 | Optoelectronics | 3-1-0-4 | ECE601 |
| 7 | MEE701 | Manufacturing Processes | 3-1-0-4 | MEE601 |
| 7 | CIV701 | Hydraulic Engineering | 3-1-0-4 | CIV601 |
| 7 | DEP701 | Advanced Elective III | 3-1-0-4 | - |
| 8 | CSE801 | Capstone Project | 2-0-6-8 | - |
| 8 | ECE801 | Project Lab | 2-0-6-8 | - |
| 8 | MEE801 | Final Year Project | 2-0-6-8 | - |
| 8 | CIV801 | Final Project | 2-0-6-8 | - |
| 8 | DEP801 | Thesis | 2-0-6-8 | - |
Advanced courses in departmental electives are designed to deepen student understanding and prepare them for specialized fields. These courses often involve research components, lab work, and real-world project applications.
This course introduces students to the fundamental concepts of artificial intelligence, including search algorithms, machine learning techniques, neural networks, and natural language processing. Students learn to implement AI models using Python and TensorFlow frameworks.
The cybersecurity course covers network security protocols, cryptography, ethical hacking, and risk assessment. Students gain hands-on experience in penetration testing, secure coding practices, and digital forensics through simulated exercises and real-world case studies.
This course explores the intersection of engineering principles and medical science. Topics include biomaterials, bioinformatics, medical imaging systems, and physiological modeling. Students work on projects involving healthcare device design and development.
The robotics specialization focuses on robot kinematics, control systems, sensor integration, and autonomous navigation. Students build physical robots and develop software for motion planning, pathfinding, and object recognition using ROS (Robot Operating System).
This course provides students with tools and techniques for data analysis, statistical modeling, and predictive analytics. Using Python and R programming languages, students learn to extract insights from large datasets, visualize trends, and communicate findings effectively.
This elective covers solar, wind, hydroelectric, and geothermal energy technologies. Students study energy conversion processes, grid integration strategies, and policy frameworks supporting sustainable power generation. Projects involve designing small-scale renewable energy systems for residential or commercial use.
This course addresses environmental impact assessment, pollution control technologies, water resource management, and waste treatment processes. Students learn to apply engineering principles to solve environmental challenges and comply with regulatory standards.
Students explore the structure-property relationships in advanced materials such as composites, nanomaterials, and smart materials. Lab sessions include material characterization techniques like SEM, XRD, and FTIR spectroscopy, preparing students for careers in materials research and development.
This course covers power generation, transmission, distribution, and grid stability issues. Students study electrical systems analysis, load forecasting, renewable energy integration, and smart grid technologies through theoretical lectures and simulation-based labs.
This elective focuses on digital signal processing techniques used in audio, video, and communication systems. Topics include filtering, spectral analysis, convolution, and transform methods. Students gain experience with MATLAB and Python tools for signal manipulation and system design.
Iilm University Gurugram places significant emphasis on project-based learning to ensure students acquire practical skills and real-world experience. The philosophy centers around active learning, collaboration, and innovation driven by industry needs.
Mini-projects are assigned in the third and fourth semesters to give students early exposure to practical applications of theoretical concepts. Each project is designed to be completed within a semester and involves problem-solving, design thinking, and team collaboration. Projects are evaluated based on innovation, technical execution, presentation quality, and peer feedback.
The capstone project is the culminating experience of the engineering program. Students work individually or in teams under faculty supervision to develop a comprehensive solution to a real-world problem. The project involves research, prototyping, testing, and documentation phases.
Students can choose projects based on their interests or select from suggested topics provided by faculty members. Projects are matched with relevant mentors who guide students through the research process and provide feedback throughout development.
Projects are evaluated using rubrics that assess technical competence, creativity, teamwork, presentation skills, and adherence to deadlines. Feedback is provided at multiple stages to ensure continuous improvement and learning outcomes alignment.
