Curriculum Overview
The Electronics program at Roorkee Institute Of Technology is structured over eight semesters, combining foundational sciences, core engineering principles, and specialized electives. Each semester includes a mix of core subjects, departmental electives, science electives, and laboratory components to ensure comprehensive learning.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | PHYS101 | Physics for Electronics | 3-1-0-4 | - |
| I | MATH101 | Mathematics I | 3-1-0-4 | - |
| I | ENGG101 | Engineering Drawing & Graphics | 2-0-2-3 | - |
| I | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| I | ENGG102 | Engineering Mechanics | 3-1-0-4 | MATH101 |
| I | PHYS102 | Basic Electronics | 3-1-0-4 | - |
| II | MATH102 | Mathematics II | 3-1-0-4 | MATH101 |
| II | CIRCUIT101 | Circuit Analysis | 3-1-0-4 | PHYS102 |
| II | COMP101 | Computer Organization | 3-1-0-4 | CSE101 |
| II | PHYS201 | Electromagnetic Fields | 3-1-0-4 | MATH102 |
| II | ELECT101 | Signals and Systems | 3-1-0-4 | MATH102 |
| II | LAW101 | Professional Ethics & Law | 2-0-0-2 | - |
| III | MATH201 | Mathematics III | 3-1-0-4 | MATH102 |
| III | DIGITAL101 | Digital Logic Design | 3-1-0-4 | CIRCUIT101 |
| III | MICRO101 | Microprocessors & Microcontrollers | 3-1-2-6 | COMP101 |
| III | COMM101 | Communication Systems | 3-1-0-4 | ELECT101 |
| III | ANALOG101 | Analog Electronics | 3-1-0-4 | CIRCUIT101 |
| III | LAB101 | Basic Electronics Lab | 0-0-2-2 | - |
| IV | MATH202 | Mathematics IV | 3-1-0-4 | MATH201 |
| IV | VLSI101 | VLSI Design Fundamentals | 3-1-0-4 | DIGITAL101 |
| IV | CONTROL101 | Control Systems | 3-1-0-4 | ELECT101 |
| IV | POWER101 | Power Electronics | 3-1-0-4 | ANALOG101 |
| IV | EMBEDDED101 | Embedded Systems | 3-1-2-6 | MICRO101 |
| IV | LAB201 | Digital Electronics Lab | 0-0-2-2 | - |
| V | AI101 | Introduction to Artificial Intelligence | 3-1-0-4 | DIGITAL101 |
| V | SECURITY101 | Cybersecurity Fundamentals | 3-1-0-4 | COMM101 |
| V | SIGNAL101 | Digital Signal Processing | 3-1-0-4 | ELECT101 |
| V | RENEWABLE101 | Renewable Energy Systems | 3-1-0-4 | POWER101 |
| V | IOT101 | Internet of Things | 3-1-2-6 | EMBEDDED101 |
| V | LAB301 | Advanced Electronics Lab | 0-0-2-2 | - |
| VI | ML101 | Machine Learning | 3-1-0-4 | AI101 |
| VI | CLOUD101 | Cloud Computing | 3-1-0-4 | COMM101 |
| VI | QUANTUM101 | Quantum Computing Fundamentals | 3-1-0-4 | AI101 |
| VI | RESEARCH101 | Research Methodology | 2-0-0-2 | - |
| VI | LAB401 | Research Lab | 0-0-4-4 | - |
| VII | PROJECT101 | Mini Project | 0-0-6-6 | - |
| VIII | THESIS101 | Final Year Thesis | 0-0-8-8 | - |
Advanced Departmental Electives
The following departmental elective courses are offered to provide students with advanced knowledge in specialized areas:
- Introduction to Machine Learning (ML101): This course introduces students to fundamental concepts of machine learning including supervised and unsupervised learning, neural networks, decision trees, clustering algorithms, and reinforcement learning. The curriculum emphasizes practical implementation using Python and TensorFlow libraries.
- Cybersecurity Fundamentals (SECURITY101): Students learn about cryptographic techniques, network security protocols, secure software development practices, and ethical hacking methods. The course includes hands-on labs with tools like Wireshark, Metasploit, and Kali Linux to understand real-world threats.
- Digital Signal Processing (SIGNAL101): This course covers advanced topics in signal processing such as FFT algorithms, filter design, spectral analysis, and applications in audio and image processing. Students gain experience using MATLAB and DSP processors.
- Renewable Energy Systems (RENEWABLE101): Designed to equip students with knowledge of solar, wind, hydroelectric, and other renewable energy sources. The course includes practical sessions on system design, efficiency optimization, and integration into power grids.
- Internet of Things (IOT101): Focuses on IoT architecture, sensor networks, wireless communication protocols, cloud integration, and edge computing platforms. Students develop projects involving smart homes, wearable devices, and industrial automation systems.
- Quantum Computing Fundamentals (QUANTUM101): Introduces quantum mechanics principles applied to computing, including qubits, superposition, entanglement, and quantum algorithms. The course includes simulations using Qiskit and other quantum programming environments.
- VLSI Design Techniques (VLSI101): Covers VLSI design flows, CAD tools, layout design, simulation, and testing methodologies. Students work on designing integrated circuits for mobile devices, embedded systems, and communication chips.
- Control Systems Engineering (CONTROL101): Explores modern control theory including state-space methods, stability analysis, PID controllers, and feedback control systems. The course integrates simulation tools like MATLAB and Simulink for system modeling.
- Power Electronics and Drives (POWER101): Focuses on power conversion circuits, motor drives, inverters, rectifiers, and applications in renewable energy systems. Students study switch-mode power supplies, variable frequency drives, and electric vehicle charging infrastructure.
- Embedded Systems Design (EMBEDDED101): Covers microcontroller architectures, embedded C programming, real-time operating systems, and interfacing with sensors and actuators. Projects include developing embedded systems for robotics, IoT devices, and industrial controls.
Project-Based Learning Philosophy
The Electronics department at Roorkee Institute Of Technology places significant emphasis on project-based learning as a core component of the educational experience. The philosophy behind this approach is rooted in fostering innovation, critical thinking, and practical application of theoretical knowledge.
Mini-projects are introduced in the third year to help students transition from classroom learning to hands-on implementation. These projects are typically completed within 6-8 weeks and focus on applying concepts learned in core courses such as digital logic design or analog electronics. Students are encouraged to propose their own project ideas, subject to faculty approval, ensuring personalized engagement and relevance.
The final-year thesis/capstone project represents the culmination of the student's academic journey. It involves extensive research, design, implementation, and documentation under the guidance of a faculty mentor. The project must demonstrate originality, technical depth, and real-world applicability. Students often collaborate with industry partners or participate in competitions to enhance their learning outcomes.
Project selection is facilitated through an online portal where students can browse available projects proposed by faculty members or submit their own ideas. The process includes a proposal submission, peer review, and mentor assignment based on project alignment and student interests. This ensures that each student undertakes a meaningful and challenging endeavor that aligns with their career aspirations.
Evaluation criteria for projects include technical excellence, creativity, presentation quality, and demonstration of learning outcomes. Regular progress reports and milestone reviews are conducted to ensure timely completion and quality assurance. The department also hosts annual project showcases where students present their work to faculty, peers, and industry representatives, providing valuable networking and feedback opportunities.