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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Electronics

    Roorkee Institute Of Technology
    Duration
    4 Years
    Electronics UG OFFLINE

    Duration

    4 Years

    Electronics

    Roorkee Institute Of Technology
    Duration
    Apply

    Fees

    ₹8,50,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹18,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Electronics
    UG
    OFFLINE

    Fees

    ₹8,50,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹18,00,000

    Seats

    250

    Students

    250

    ApplyCollege

    Seats

    250

    Students

    250

    Curriculum

    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.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    IPHYS101Physics for Electronics3-1-0-4-
    IMATH101Mathematics I3-1-0-4-
    IENGG101Engineering Drawing & Graphics2-0-2-3-
    ICSE101Introduction to Programming2-0-2-3-
    IENGG102Engineering Mechanics3-1-0-4MATH101
    IPHYS102Basic Electronics3-1-0-4-
    IIMATH102Mathematics II3-1-0-4MATH101
    IICIRCUIT101Circuit Analysis3-1-0-4PHYS102
    IICOMP101Computer Organization3-1-0-4CSE101
    IIPHYS201Electromagnetic Fields3-1-0-4MATH102
    IIELECT101Signals and Systems3-1-0-4MATH102
    IILAW101Professional Ethics & Law2-0-0-2-
    IIIMATH201Mathematics III3-1-0-4MATH102
    IIIDIGITAL101Digital Logic Design3-1-0-4CIRCUIT101
    IIIMICRO101Microprocessors & Microcontrollers3-1-2-6COMP101
    IIICOMM101Communication Systems3-1-0-4ELECT101
    IIIANALOG101Analog Electronics3-1-0-4CIRCUIT101
    IIILAB101Basic Electronics Lab0-0-2-2-
    IVMATH202Mathematics IV3-1-0-4MATH201
    IVVLSI101VLSI Design Fundamentals3-1-0-4DIGITAL101
    IVCONTROL101Control Systems3-1-0-4ELECT101
    IVPOWER101Power Electronics3-1-0-4ANALOG101
    IVEMBEDDED101Embedded Systems3-1-2-6MICRO101
    IVLAB201Digital Electronics Lab0-0-2-2-
    VAI101Introduction to Artificial Intelligence3-1-0-4DIGITAL101
    VSECURITY101Cybersecurity Fundamentals3-1-0-4COMM101
    VSIGNAL101Digital Signal Processing3-1-0-4ELECT101
    VRENEWABLE101Renewable Energy Systems3-1-0-4POWER101
    VIOT101Internet of Things3-1-2-6EMBEDDED101
    VLAB301Advanced Electronics Lab0-0-2-2-
    VIML101Machine Learning3-1-0-4AI101
    VICLOUD101Cloud Computing3-1-0-4COMM101
    VIQUANTUM101Quantum Computing Fundamentals3-1-0-4AI101
    VIRESEARCH101Research Methodology2-0-0-2-
    VILAB401Research Lab0-0-4-4-
    VIIPROJECT101Mini Project0-0-6-6-
    VIIITHESIS101Final Year Thesis0-0-8-8-

    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.