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GATE Instrumentation Engineering Free Mock Test
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GATE Instrumentation Engineering Syllabus 2027, Exam Pattern
GATE 2027 Syllabus for Instrumentation Engineering, Exam Pattern, Exam Date 2027
Detail Information about GATE has published notification 2027 for the Notification of Instrumentation Engineering Entrance Exam. Those Candidates who are Interested to the following Entrance Exam and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Notification with Latest Update Exam Pattern and the Exam Date also.
GATE Exam Highlights 2027
| Examination Name | Graduate Aptitude Test in Engineering (GATE) |
| Commonly Known As | GATE |
| GATE organising Institute | IIT Madras |
| Administered By | Jointly by IISc Bangalore and Seven IITs |
| Exam Date 2026 | Qualifying Examination for M.E./ M.Tech/ Ph.D admissions and PSU Recruitment |
| Application Mode | Online |
| Mode of Examination | Computer-Based Mode |
| Examination Duration | 180 Minutes (3 Hours) |
| Frequency of Examination | Annual |
| Exam Date 2026 | 06th, 07th, 13th, 14th, 20th & 21st February 2027 |
| Number of GATE Papers | 29 |
| Validity of GATE Score/Grade | 3 Years |
| Official website | gate2027.iitg.ac.in |
GATE Syllabus for Instrumentation Engineering 2027
General Aptitude :
Verbal Aptitude
1. Basic English grammar
2. Tenses
3. Articles
4. Adjectives
5. Prepositions
6. Conjunctions
7. Verb-noun agreement and other parts of speech
8. Basic vocabulary
9. Words
10. Idioms
11. Phrases in context
12. Reading and comprehension
13. Narrative sequencing
Quantitative Aptitude
1. Data interpretation
2. Data graphs (bar graphs, pie charts, and other graphs representing data)
3. 2- and 3-dimensional plots
4. Maps
5. Tables
6. Numerical computation and estimation
7. Ratios
8. Percentages
9. Powers
10. Exponents and logarithms
11. Permutations and combinations
12. Series
13. Mensuration and geometry
14. Elementary statistics
15. Probability
Analytical Aptitude
1. Logic: deduction and induction
2. Analogy
3. Numerical relations and reasoning
Spatial Aptitude
1. Transformation of shapes
3. Translation
4. Rotation
5. Scaling
6. Mirroring
7. Assembling
8. Grouping
9. Paper folding
10. Cutting
11. Patterns in 2 and 3 dimensions
1. Basic English grammar
2. Tenses
3. Articles
4. Adjectives
5. Prepositions
6. Conjunctions
7. Verb-noun agreement and other parts of speech
8. Basic vocabulary
9. Words
10. Idioms
11. Phrases in context
12. Reading and comprehension
13. Narrative sequencing
Quantitative Aptitude
1. Data interpretation
2. Data graphs (bar graphs, pie charts, and other graphs representing data)
3. 2- and 3-dimensional plots
4. Maps
5. Tables
6. Numerical computation and estimation
7. Ratios
8. Percentages
9. Powers
10. Exponents and logarithms
11. Permutations and combinations
12. Series
13. Mensuration and geometry
14. Elementary statistics
15. Probability
Analytical Aptitude
1. Logic: deduction and induction
2. Analogy
3. Numerical relations and reasoning
Spatial Aptitude
1. Transformation of shapes
3. Translation
4. Rotation
5. Scaling
6. Mirroring
7. Assembling
8. Grouping
9. Paper folding
10. Cutting
11. Patterns in 2 and 3 dimensions
Engineering Mathematics :
Linear Algebra: Matrix algebra, systems of linear equations, consistency and rank, eigenvalues and eigenvectors, tensors.
Calculus: Functions, limits, continuity; differentiation, differentiability, partial derivatives, maxima and minima, integration, multiple integrals, vector algebra, line, surface and volume integrals, Stokes, Gauss and Green’s theorems.
Differential Equations: Ordinary differential equations, first order linear differential equations, second order linear differential equations with constant coefficients, method of variation of parameters, Cauchy’s and Euler’s equations, initial and boundary value problems, solution of partial differential equations: variable separable method.
Analysis of Complex Variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’s series, residue theorem, solution of integrals.
Probability and Statistics: Random variables, discrete and continuous distributions: normal, Poisson and Binomial distributions. Sampling from distributions, conditional probability and Bayes' theorem, mean, median, mode, standard deviation and variance.
Numerical Methods: Solution of matrix equations, solutions of non-linear algebraic equations, iterative methods for solving differential equations, numerical integration, regression and correlation analysis, backpropagation for neural networks.
Calculus: Functions, limits, continuity; differentiation, differentiability, partial derivatives, maxima and minima, integration, multiple integrals, vector algebra, line, surface and volume integrals, Stokes, Gauss and Green’s theorems.
Differential Equations: Ordinary differential equations, first order linear differential equations, second order linear differential equations with constant coefficients, method of variation of parameters, Cauchy’s and Euler’s equations, initial and boundary value problems, solution of partial differential equations: variable separable method.
Analysis of Complex Variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’s series, residue theorem, solution of integrals.
Probability and Statistics: Random variables, discrete and continuous distributions: normal, Poisson and Binomial distributions. Sampling from distributions, conditional probability and Bayes' theorem, mean, median, mode, standard deviation and variance.
Numerical Methods: Solution of matrix equations, solutions of non-linear algebraic equations, iterative methods for solving differential equations, numerical integration, regression and correlation analysis, backpropagation for neural networks.
Instrumentation Engineering Syllabus :
Electricity and Magnetism :
Coulomb's law, electric field intensity, electric flux density, Gauss' law, electric field and potential due to point, line, plane and spherical charge distributions, effect of dielectric medium, permittivity, capacitance, magnetic field intensity, magnetic flux density, Biot‐Savart’s law, Ampere’s law, Faraday’s law, Lorentz force, permeability, self and mutual inductance, electrical and magnetic dipoles, electromagnetic induction, magnetomotive force, reluctance, magnetic circuits, B-H curve, Maxwell's equations: vector, differential and integral forms
Electrical Circuits & Machines :
Electrical Circuits: Independent, dependent, ideal and practical sources; V-I characteristics of practical current and voltage sources, battery, solar cell, resistor, inductor, coupled inductor, capacitor; transient analysis of RC, RL, LC, RLC circuits; power and energy consumption, power rating of components, efficiency and losses.
Kirchhoff’s laws, mesh and nodal analysis, star-delta transformation, superposition, Thevenin’s, Norton’s,
Miller’s, maximum power transfer and reciprocity theorems.
Peak, average and rms values of AC quantities; apparent, active and reactive powers, power factor; phasor analysis, impedance and admittance; series and parallel resonance, locus diagrams, realization of basic filters with R, L, and C elements; transient analysis of RLC circuits with AC excitation. Analysis of one-port and two-port networks with controlled voltage and current sources, driving point impedance and admittance, open and short circuit parameters.
Electrical Machines: Single phase transformers, permanent magnet synchronous machines; buck and boost converters, rectifiers, single phase inverters; rotor position and speed sensing, current sensing, pulse width modulation (PWM) control.
Signals and Systems :
1. Periodic, aperiodic and impulse signals; convolution, correlation; transfer function, frequency response, impulse response of systems; Discrete time system: pulse transfer function, impulse response, frequency response; DFT and FFT; Laplace, Fourier and z-transforms; basics of IIR and FIR filters.
Control Systems :
Feedback principles, role of sensing in feedback, signal flow graphs, transient response, steady state error, Bode plot, phase and gain margins, Routh and Nyquist criteria, root loci, state-space representation of systems; time-delay systems.
Actuators for control system: control valves, servo valves, servo motors, stepper motors; on-off, P, PI, PID, cascade, feed forward, and ratio controllers, tuning of PID controllers; design of lead, lag and lead-lag compensators; basic concept of supervisory control, basics of distributed control system (DCS) and programmable logic controller (PLC).
Analog Electronics :
Types of diode and their applications; BJT and MOSFET circuits, biasing, power dissipation, DC analysis, small signal analysis, frequency response of transistor circuits, feedback, amplifier design. Characteristics of ideal and practical operational amplifiers; applications of opamps: adder, subtractor, integrator, differentiator, difference amplifier, instrumentation amplifier, precision rectifier, active filters, comparators, Schmitt trigger, multivibrators, oscillators, signal generators, voltage-controlled oscillators and phase-locked loop.
Sources and effects of noise and interference in electronic circuits; conductively, capacitively, inductively coupled interference; noise generated by electronic components, thermal noise, shot noise, flicker noise; shielding and grounding. Basic principles of component selection based on specifications, circuit board realization and testing.
Digital Electronics :
Basics of number systems. Combinational logic circuits, multiplexer and demultiplexer, truth table, minimization
of Boolean functions; IC families: ECL, TTL and CMOS, CMOS implementation of logic gates; arithmetic
circuits, sequential circuits, finite state machines, flipflops, shift registers, timers and counters.
Analog front end: analog multiplexer, programmable gain amplifier, sample-and-hold circuit; analog-to-digital converters (ADC) (successive approximation, integrating, flash and sigma-delta) and digital-to-analog converters (DAC) (weighted R, R-2R ladder and current steering logic); characteristics and specifications of ADC and DAC (dynamic range, resolution, quantization, significant bits, conversion/settling time, INL, DNL, ENOB); embedded systems: common microprocessors and microcontrollers, memory and input-output interfacing, embedded systems programming; basics of data acquisition systems, virtual instrumentation, IoT; basic AI applications in instrumentation (sensor linearization, system calibration and tuning, signal classification)
Measurements :
SI units, standards of basic electrical quantities (R, L, C, voltage, current and frequency), systematic and random errors in measurement, expression of uncertainty, accuracy and precision, propagation of errors, linear and weighted regression; bridges: Wheatstone, Kelvin, Maxwell, Anderson, Schering and Wien bridges for measurement of R, L, C and frequency, typical applications of bridges, Q-meter; megohm measurement; measurement of voltage, current and power in DC, single and three phase AC circuits; contact and noncontact type AC and DC current and voltage probes; true rms meters, voltage and current scaling, instrument transformers, timer/counter, time, phase and frequency measurements, digital voltmeter, digital multimeter, digital energy meter, digital storage oscilloscope, spectrum analyzer.
Sensors and Industrial Instrumentation :
Resistive, capacitive, inductive, piezoelectric, electromagnetic and Hall effect sensors and associated signal conditioning circuits; transducers for industrial instrumentation: displacement, velocity, acceleration (linear and angular), force, torque, vibration, shock, pressure (including low and high pressure), flow (variable head, variable area, electromagnetic, ultrasonic, turbine flowmeters), temperature (thermocouple, bolometer, 2, 3, 4 wire RTD, thermistor, pyrometer and semiconductor sensor), liquid level, pH, conductivity and viscosity measurement.
Communication and Optical Instrumentation :
Amplitude and frequency modulation and demodulation, pulse code modulation, frequency and time division multiplexing; amplitude, phase, frequency, quadrature amplitude, pulse shift keying for digital modulation and
demodulation; functional architectures of transmitters and receivers; instrument and sensor networks, 4–20 mA two-wire transmitter. Optical sources and detectors: LED, laser, photo-diode, light dependent resistor, square law detectors and their characteristics; interferometer: applications in metrology; basics of fiber optic sensing. Nearinfrared (NIR) sensing, Ultraviolet-Visible (UV-VIS) spectrophotometers, mass spectrometer.
demodulation; functional architectures of transmitters and receivers; instrument and sensor networks, 4–20 mA two-wire transmitter. Optical sources and detectors: LED, laser, photo-diode, light dependent resistor, square law detectors and their characteristics; interferometer: applications in metrology; basics of fiber optic sensing. Nearinfrared (NIR) sensing, Ultraviolet-Visible (UV-VIS) spectrophotometers, mass spectrometer.
GATE IN (Instrumentation Engineering) Exam Pattern 2027
GATE Exam Pattern 2027 : Highlights
| GATE Examination Mode | Computer-Based Test (CBT) |
| GATE Exam Language | English |
| GATE Duration | 3 Hours (180 Minutes) |
| GATE Sectional Time Limit | None |
| GATE Total Marks | 100 |
| GATE Total Number of questions | 65 |
| GATE Type of Questions | Multiple Choice Questions (MCQ)
Multiple Select Questions (MSQ);
Numerical Answer Type (NAT) Questions
|
| GATE Number of Sections | Two/ Three (depending on the paper) |
| GATE Section-wise Number of Questions |
General Aptitude- 10 questions,
Core Discipline- 55 questions
|
| GATE Section-wise Weightage |
General Aptitude- 15 marks,
Core Discipline- 85 marks
|
| GATE Marking Scheme | 1 or 2 marks for each correct answer |
| GATE Negative Marking |
For 1 mark MCQ, 1/3 mark will be deducted for a wrong answer;
For 2-mark MCQ, 2/3 mark will be deducted for a wrong answer;
No negative marking for MSQs and NATs
|
Duration : 180 Minutes
Negative Mark :
For 1 mark MCQ, 1/3 mark will be deducted for a wrong answer;
For 2-mark MCQ, 2/3 mark will be deducted for a wrong answer;
No negative marking for MSQs and NATs
| S.No | Subject | No.of Question | Marks |
| 1 | General Aptitude | 5 (5 x 1) | 5 |
| 5 (5 x 2) | 10 | ||
| 2 | Engineering Mathematics | 55 | 13 |
| Instrumentation Engineering | 72 | ||
| Total | 65 | 100 |
Instrumentation Engineering
| Subject | No.of Question | Marks per Question | Marks |
Engineering Mathematics & Instrumentation Engineering |
25 | 1 | 25 |
| 30 | 2 | 60 | |
| Total | 55 | 85 |
GATE Exam Date 2026 : 06th, 07th, 13th, 14th, 20th & 21st February 2027
Starting Date of Application Form : Notified Soon
Last Date of Application Form : 27th September 2026
GATE 2027 Instrumentation Engineering Free Mock Test
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GATE Instrumentation Engineering Exam (Only MCQ ) - English65 questions • 180 mins • 65 marks
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GATE Instrumentation Engineering Exam (Only MCQ ) - English65 questions • 180 mins • 65 marks
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FAQs
GATE Instrumentation Engineering 2027 Free Mock Test Frequently Asked Questions (FAQ's)
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