Syllabus for Instrumentation Engineering (IN)
Engineering Mathematics
Linear Algebra:
Matrix Algebra, Systems of linear equations, Eigen values and eigen vectors.
Calculus:
Mean value theorems, Theorems of integral calculus, Evaluation of definite and
improper integrals, Partial Derivatives, Maxima and minima, Multiple integrals,
Fourier series. Vector identities, Directional derivatives, Line, Surface and
Volume integrals, Stokes, Gauss and Green's theorems.
Differential equations:
First order equation (linear and nonlinear), Higher order linear differential
equations with constant coefficients, Method of variation of parameters,
Cauchy's and Euler's equations, Initial and boundary value problems, Partial
Differential Equations and variable separable method.
Complex variables:
Analytic functions, Cauchy's integral theorem and integral formula, Taylor's and
Laurent' series, Residue theorem, solution integrals.
Probability and Statistics:
Sampling theorems, Conditional probability, Mean, median, mode and standard
deviation, Random variables, Discrete and continuous distributions, Poisson,
Normal and Binomial distribution, Correlation and regression analysis.
Numerical Methods:
Solutions of non-linear algebraic equations, single and multi-step methods for
differential equations.
Transform Theory:
Fourier transform, Laplace transform, Z-transform.
Instrumentation Engineering
Basics of Circuits and Measurement Systems:
Kirchoff's laws, mesh and nodal Analysis. Circuit theorems. One-port and
two-port Network Functions. Static and dynamic characteristics of Measurement
Systems. Error and uncertainty analysis. Statistical analysis of data and curve
fitting.
Transducers, Mechanical Measurement and Industrial Instrumentation:
Resistive, Capacitive, Inductive and piezoelectric transducers and their signal
conditioning. Measurement of displacement, velocity and acceleration
(translational and rotational), force, torque, vibration and shock. Measurement
of pressure, flow, temperature and liquid level. Measurement of pH,
conductivity, viscosity and humidity.
Analog Electronics:
Characteristics of diode, BJT, JFET and MOSFET. Diode circuits. Transistors at
low and high frequencies, Amplifiers, single and multi-stage. Feedback
amplifiers. Operational amplifiers, characteristics and circuit configurations.
Instrumentation amplifier. Precision rectifier. V-to-I and I-to-V converter.
Op-Amp based active filters. Oscillators and signal generators.
Digital Electronics:
Combinational logic circuits, minimization of Boolean functions.
IC families, TTL, MOS and CMOS. Arithmetic circuits. Comparators, Schmitt
trigger, timers and mono-stable multi-vibrator. Sequential circuits, flip-flops,
counters, shift registers. Multiplexer, S/H circuit. Analog-to-Digital and
Digital-to-Analog converters. Basics of number system. Microprocessor
applications, memory and input-output interfacing. Microcontrollers.
Signals, Systems and Communications:
Periodic and aperiodic signals. Impulse response, transfer function and
frequency response of first- and second order systems. Convolution, correlation
and characteristics of linear time invariant systems. Discrete time system,
impulse and frequency response. Pulse transfer function. IIR and FIR filters.
Amplitude and frequency modulation and demodulation. Sampling theorem, pulse
code modulation. Frequency and time division multiplexing. Amplitude shift
keying, frequency shift keying and pulse shift keying for digital modulation.
Electrical and Electronic Measurements:
Bridges and potentiometers, measurement of R,L and C. Measurements of voltage, current,
power, power factor and energy. A.C & D.C current probes. Extension of
instrument ranges. Q-meter and waveform analyzer. Digital voltmeter and
multi-meter. Time, phase and frequency measurements. Cathode ray oscilloscope.
Serial and parallel communication. Shielding and grounding.
Control Systems and Process Control:
Feedback principles. Signal flow graphs. Transient Response,
steady-state-errors. Routh and Nyquist criteria. Bode plot, root loci. Time
delay systems. Phase and gain margin. State space representation of systems.
Mechanical, hydraulic and pneumatic system components. Synchro pair, servo and
step motors. On-off, cascade, P, P-I, P-I-D, feed forward and derivative
controller, Fuzzy controllers.
Analytical, Optical and Biomedical Instrumentation:
Mass spectrometry. UV, visible and IR spectrometry. X-ray and nuclear radiation
measurements. Optical sources and detectors, LED, laser, Photo-diode,
photo-resistor and their characteristics. Interferometers, applications in
metrology. Basics of fiber optics. Biomedical instruments, EEG, ECG and EMG.
Clinical measurements. Ultrasonic transducers and Ultrasonography. Principles of
Computer Assisted Tomography.
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