Semester-wise syllabus for B.Tech in Instrumentation and Control Engineering

 

Year 1: Foundation in Science & Engineering 

Semester 1 

1. Mathematics-I

   - Calculus, matrices, differential equations. 

2. Physics-I 

   - Mechanics, thermodynamics, optics. 

3. Chemistry/Environmental Science 

   - Basics of chemical processes or sustainability. 

4. Basics of Electronics 

   - Diodes, transistors, operational amplifiers. 

5. Engineering Graphics 

   - Technical drawing, CAD basics (AutoCAD). 

6. Workshop Practice 

   - Soldering, PCB design, basic instrumentation tools. 

 

Semester 2 

1. Mathematics-II 

   - Probability, statistics, Fourier transforms. 

2. Physics-II 

   - Electromagnetism, semiconductor physics. 

3. Electrical Circuits 

   - Network theorems (Thevenin, Norton), AC/DC circuits. 

4. Programming in C 

   - Algorithms, data structures, embedded systems basics. 

5. Lab-I

   - Circuit simulations (Multisim), sensor interfacing. 

 

Year 2: Core Instrumentation & Control Principles 

Semester 3 

1. Mathematics-III 

   - Numerical methods, complex analysis. 

2. Analog Electronics 

   - Amplifiers, filters, signal conditioning. 

3. Sensors & Transducers 

   - Types (RTD, thermocouples, LVDT, piezoelectric), calibration. 

4. Digital Electronics 

   - Logic gates, microprocessors (8085/8086), ADCs/DACs. 

5. Lab-II 

   - Sensor calibration, Op-amp circuits, microcontroller interfacing. 

 

Semester 4 

1. Control Systems 

   - Feedback systems, PID controllers, stability analysis. 

2. Process Instrumentation 

   - Flow, pressure, level, and temperature measurement in industries. 

3. Signals & Systems 

   - Time/frequency domain analysis, Laplace/Z-transforms. 

4. Microcontrollers & Embedded Systems

   - ARM architecture, programming (Arduino/Raspberry Pi). 

5. Lab-III 

   - PID tuning, PLC ladder programming, data acquisition systems. 

 

Year 3: Advanced Systems & Industrial Applications 

Semester 5 

1. Industrial Automation 

   - PLCs, SCADA, HMI, DCS systems (Siemens, Allen-Bradley). 

2. Process Control 

   - Cascade control, batch processes, PID optimization. 

3. Optical & Biomedical Instrumentation 

   - Fiber optics, ECG/EEG systems, biosensors. 

4. Elective-I 

   - Robotics & Mechatronics or IoT for Automation. 

5. Lab-IV 

   - SCADA projects, biomedical signal processing (LabVIEW). 

 

Semester 6 

1. Instrumentation Design 

   - Reliability, calibration, error analysis. 

2. Power Electronics 

   - Converters, inverters, motor drives. 

3. Digital Signal Processing 

   - FIR/IIR filters, FFT, DSP applications in control. 

4. Elective-II 

   - AI in Control Systems or Industrial Robotics. 

5. Lab-V 

   - Motor control using PLCs, DSP implementation (MATLAB). 

6. Mini-Project 

   - Example: Designing a temperature-controlled system using PID. 

 

Year 4: Specializations & Industry Integration 

Semester 7 

1. Advanced Control Systems 

   - Adaptive control, fuzzy logic, neural networks. 

2. Industrial Safety & Standards 

   - Hazard analysis, ISO standards, SIL (Safety Integrity Levels). 

3. Elective-III 

   - Smart Grids or Drone Control Systems. 

4. Project Management 

   - Agile, risk management, cost estimation. 

5. Lab-VI 

   - AI-based control simulations, drone stabilization projects. 

6. Internship/Industrial Training 

   - Hands-on experience in industries (oil & gas, manufacturing, automation). 

 

Semester 8 

1. Emerging Trends

   - Industry 4.0, IIoT (Industrial IoT), digital twins. 

2. Ethics & Regulations 

   - Environmental impact, intellectual property rights (IPR). 

3. Capstone Project 

   - Example projects: 

     - Automated wastewater treatment plant using PLC/SCADA. 

     - AI-driven predictive maintenance system for factories. 

4. Viva/Comprehensive Exam

   - Assessment of core concepts in instrumentation and control. 

 

Elective Options 

- Robotics: Kinematics, robotic control systems. 

- Biomedical Instrumentation: MRI/CT scan systems, prosthetics. 

- Renewable Energy Systems: Solar/wind instrumentation. 

- Automotive Control Systems: ECU, autonomous vehicle sensors. 

- Cybersecurity for Industrial Networks: Firewalls, intrusion detection. 

 

Key Labs & Tools 

- Simulation: MATLAB/Simulink, LabVIEW, Proteus. 

- Automation Tools: Siemens TIA Portal, Allen-Bradley RSLogix. 

- Hardware: PLCs, PID trainers, data loggers, oscilloscopes. 

- Sensors: RTDs, load cells, pressure transmitters.