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Fees
₹8,50,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Fees
₹8,50,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Seats
120
Students
120
Seats
120
Students
120
The curriculum for the Sensors and Transducers program at School of Instrumentation, Devi Ahilya Vishwavidyalaya is structured to provide a comprehensive education that combines theoretical knowledge with practical application. The program spans four years and includes core courses, departmental electives, science electives, and laboratory sessions designed to build a strong foundation in sensor technology.
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| Year I | Semester I | PHYS101 | Physics for Engineering | 3-1-0-4 | - |
| Semester I | MATH101 | Calculus and Differential Equations | 4-0-0-4 | - | |
| Semester I | COMP101 | Programming Fundamentals | 2-0-2-3 | - | |
| Semester I | CHEM101 | Chemistry for Engineers | 3-0-0-3 | - | |
| Year I | Semester II | MATH102 | Linear Algebra and Numerical Methods | 3-0-0-3 | MATH101 |
| Semester II | PHYS102 | Electromagnetism and Waves | 3-1-0-4 | PHYS101 | |
| Semester II | ELEC101 | Basic Electrical Circuits | 3-1-0-4 | - | |
| Semester II | COMP102 | Data Structures and Algorithms | 2-0-2-3 | COMP101 | |
| Year II | Semester III | MATH201 | Probability and Statistics | 3-0-0-3 | MATH102 |
| Semester III | ELEC201 | Electronics Devices and Circuits | 3-1-0-4 | ELEC101 | |
| Semester III | MECH201 | Engineering Mechanics | 3-1-0-4 | - | |
| Semester III | COMP201 | Object-Oriented Programming | 2-0-2-3 | COMP102 | |
| Year II | Semester IV | ELEC202 | Signals and Systems | 3-1-0-4 | ELEC201 |
| Semester IV | MATH202 | Differential Equations | 3-0-0-3 | MATH201 | |
| Semester IV | PHYS201 | Optics and Modern Physics | 3-1-0-4 | PHYS102 | |
| Semester IV | COMP202 | Database Management Systems | 2-0-2-3 | COMP201 | |
| Year III | Semester V | ELEC301 | Control Systems | 3-1-0-4 | ELEC202 |
| Semester V | ELEC302 | Microprocessors and Microcontrollers | 3-1-0-4 | ELEC201 | |
| Semester V | MECH301 | Mechanics of Materials | 3-1-0-4 | MECH201 | |
| Semester V | COMP301 | Computer Architecture | 2-0-2-3 | COMP202 | |
| Year III | Semester VI | ELEC303 | Instrumentation and Measurement | 3-1-0-4 | ELEC301 |
| Semester VI | ELEC304 | Embedded Systems Design | 3-1-0-4 | ELEC302 | |
| Semester VI | COMP302 | Operating Systems | 2-0-2-3 | COMP301 | |
| Semester VI | MECH302 | Thermodynamics | 3-1-0-4 | MECH301 | |
| Year IV | Semester VII | ELEC401 | Advanced Sensor Technologies | 3-1-0-4 | ELEC303 |
| Semester VII | ELEC402 | Data Acquisition Systems | 3-1-0-4 | ELEC304 | |
| Semester VII | COMP401 | Machine Learning for Sensors | 2-0-2-3 | COMP302 | |
| Semester VII | MECH401 | Smart Materials and Devices | 3-1-0-4 | MECH302 | |
| Year IV | Semester VIII | ELEC403 | Capstone Project | 3-0-0-6 | All previous semesters |
| Semester VIII | ELEC404 | Internship and Industry Exposure | 0-0-0-3 | - | |
| Semester VIII | COMP402 | Digital Signal Processing | 2-0-2-3 | COMP301 | |
| Semester VIII | MECH402 | Design of Sensor Systems | 3-1-0-4 | MECH401 |
The advanced departmental elective courses include:
This course explores emerging technologies in sensor design, including quantum sensors, photonic sensors, and bio-sensors. Students will learn about the principles of operation, design methodologies, and practical implementation challenges associated with these advanced systems.
Focusing on the integration of hardware and software components in data acquisition setups, this course covers topics such as ADC architectures, signal conditioning circuits, and real-time data processing techniques. Practical sessions involve building custom acquisition systems using microcontrollers and programmable logic devices.
This course bridges the gap between sensor technologies and artificial intelligence by teaching students how to apply ML algorithms to sensor data. Topics include feature extraction, classification models, regression techniques, and neural network architectures tailored for sensor applications.
Students study various smart materials such as piezoelectric ceramics, shape memory alloys, and electroactive polymers. The course emphasizes their application in sensor design and actuator development, combining principles from mechanics, materials science, and electronics.
The final year capstone project allows students to integrate knowledge from all previous semesters into a comprehensive system design. Projects are chosen based on student interest and industry relevance, with faculty guidance provided throughout the development process.
Project-based learning is central to this curriculum. Students participate in both mini-projects and the final-year thesis. Mini-projects are undertaken in groups of 3-5 students and involve solving real-world problems using sensor technologies. These projects are evaluated based on design innovation, technical execution, and presentation quality.
The capstone project is a significant component of the program. Students select a topic under faculty supervision, conduct extensive research, build a prototype, and present findings at an annual showcase event. Evaluation criteria include originality, feasibility, impact, and demonstration of technical competency.
