IN
- Instrumentation Engineering
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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