M.E. Electronics(Instrumentation Control):Ultrasonic, Laser and Fiber Optic based Instrumentation

Thapar University
In Patiala

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Important information

Typology Master
Start Patiala
  • Master
  • Patiala

Important information

Where and when

Starts Location
On request
Thapar University P.O Box 32, 147004, Punjab, India
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Starts On request
Thapar University P.O Box 32, 147004, Punjab, India
See map

Course programme

First Semester Measurement Science Process Modeling and Control Industrial Instrumentation and Control Research Methodology Artificial Intelligence Control Techniques Second Semester PC/Micro-controller based instrumentation Virtual Instrumentation and its engineering applications Trends in Bio-Medical Instrumentation Third Semester Seminar Thesis ( starts ) Fourth Semester Thesis Ultrasonic, Laser and Fiber Optic based Instrumentation Ultrasonic based Instrumentation System: Physics of sound, Ultrasonic waves, Generation and detection, Ultrasonic transducers, Pulse-echo method, Doppler method, Focussing system, industrial and medical application of Ultrasound. Lasers based Instrumentation System: Principles of operation, properties, optical resonators, Emission and absorption of radiation in a Two-Level Systems, Gain in a Two-Level Lasing Medium, Axial and transverse Laser modes, Device fabrication, Measurement of Laser characteristics, Application of lasers in medical, defense system and in industries. Fiber Optic Based Instrumentation System: Basic fiber optic system, Nature of light, Advantage/Disadvantage of fiber, types of optical fiber, Sources and Light detector & Distributed optical fiber sensing, Optical time domain reflectometry, Components for optical fiber sensors. MA - 501 RESEARCH METHODOLOGY Nature and objectives of research Methods of Research: historical, descriptive and experimental Alternative approaches to the study of the research problem and problem formulation. Formulation of hypotheses, Feasibility, preparation and presentation of research proposal. Introduction to statistical analysis: Probability and probability distributions; binomial, Poisson, exponential and normal distributions and their applications. Sampling: Primary and secondary data, their collection and validation, methods of sampling: Simple random sampling, stratified random sampling and systematic sampling. Regression and correlation analysis. Tests of significance based on normal, t and chi-square distributions. Analysis of variance. Basic Principles of design of experiments, completely randomized and randomized block designs Edition, tabulation & testing of hypotheses, Interpolation of results, presentation, styles for figures, tables, text, quoting of reference and bibliography. Use of software for statistical analysis like SPSS, Mini Tab or MAT Lab, Report writing, preparation of thesis, use of software like MS Office. The course will include extensive use of software, report writing and seminars in the tutorial class.

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