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Graduate Aptitude Test in Engineering (GATE)

What is GATE?

GATE- Graduate Aptitude Test in Engineering is an examination which opens the gateway to booming public organisations and the field of research . GATE is an All-India examination administered and conducted in eight zones across the country by the GATE Committee comprising of Faculty members from IISc, Bangalore and other seven IIT’s on behalf of the National Coordinating Board, Department of Education, Ministry of Human Resources Development.

The following table shows the organising institutes in various years:

Year Organizing Institute
2018 IIT Guwahati
2017 IIT Roorkee
2016 IISc Bangalore
2015 IIT Kanpur
2014 IIT Kharagpur
2013 IIT Bombay
2012 IIT Delhi
2011 IIT Madras
2010 IIT Guwahati
2009 IIT Roorkee
2008 IISc Bangalore
2007 IIT Kanpur
2006 IIT Kharagpur
2005 IIT Bombay
2004 IIT Delhi
2003 IIT Madras
2002 IISc Banglore
2001 IIT Kanpur
2000 IIT Kharagpur
1999 IIT Bombay
1998 IIT Delhi
1997 IIT Madras
1996 IISc Banglore
1995 1995 IIT Kanpur

In GATE examination, candidates can apply for only one of the 23 papers listed in the table given below. Candidates are expected to appear in a paper appropriate to the discipline of their qualifying degree. However, candidates are free to choose any paper according to their admission plan, keeping in mind the eligibility criteria of the institutions in which they wish to seek admission.

PAPER CODE
Aerospace Engineering AE
Agricultural Engineering AG
Architecture and Planning AR
Biotechnology BT
Civil Engineering CE
Chemical Engineering CH
Computer Science & Information Technology CS
Chemistry CY
Electronics and Communication Engineering EC
Electrical Engineering EE
Engineering Sciences XE
Petroleum Engineering PE
Geology and Geophysics GG
Instrumentation Engineering IN
Life Sciences XL
Mathematics MA
Mechanical Engineering ME
Mining Engineering MN
Metallurgical Engineering MT
Physics PH
Production and Industrial Engineering PI
Textile Engineering & Fibre Science TF
Ecology and Evolution EY
Statistics ST

With a successful attempt in GATE an aspirant can choose the most suitable option from wide range of roads to travel to his final career destination :

  • M.Tech/M.S./ M.E. - Candidates on qualifying GATE, get a financial aid of 12000/- per month in the form of UGC scholarship. After the completion of course students get lucrative campus placements in National and International, private or public companies.
  • PhD. – Candiadates with keen interest in Research and Development can also opt for PhD from IITs/NITs and various other reputed instituitions.
  • PGDM/PGDIE -Students interested in management can swing in the management line by pursuing a PG Diploma of 2 years in Industrial Engineering. NITIE Mumbai offers the best campus placement after the completion of this course.
  • Several reputed PSUs and research organizations recruit on basis of GATE Score. i.e. IOCL, NTPC, BHEL, PGCIL, BARC etc.
  • Teaching: Professor, Asst. Professor at IITs, NITs, reputed educational institutes etc.
  • Junior Research Fellow: ISRO, DRDO, BARC, CSIR, IITs etc.
  • Senior Research Fellow: ISRO, DRDO, BARC, CSIR, IITs etc.
  • Junior Research Associates/ Senior Project Associates
  • Scientists “C” grade jobs
  • Career in Research & Development
  • Many renowned private firms shortlist candidates for personal interview based on the GATE score.
  • A good number of universities abroad also select the candidates on the basis of the GATE score for their M.S or PhD programmes.

Why GATE 2019?

GATE is considered to be the standard examination conducted not only for post graduation admissions but also to open the gates for lucrative opportunities in several public sector enterprises and research organizations. Based on the score achieved in GATE, admissions are offered in IITs, IISc, and NITs, and abundant opportunities for campus placements with salary packages ranging from Rs. 6 lakh to 30 lakh. Candidates on qualifying GATE, get a financial aid of 8000/- pm in the form of UGC scholarship.

Students interested in management can swing in the management line by pursuing a PG Diploma of 2 years in Industrial Engineering. Some institutes in India also offer admissions in the post Graduate programmes on the basis of GATE score.

GATE exam is important because of below mentioned factors:

  • M.Tech - Campus placements in National and International private or public companies
  • Several reputed PSUs and research organizations recruits on basis of GATE Score. i.e. IOCL, NTPC, BHEL, PGCIL, BARC etc.
  • Teaching: Professor, Asst. Professor at IITs, NITs, reputed educational institutes etc.
  • Junior Research Fellow: ISRO, DRDO, BARC, CSIR, IITs etc.
  • Senior Research Fellow: ISRO, DRDO, BARC, CSIR, IITs etc.
  • Junior Research Associates/ Senior Project Associates
  • Scientists “C” grade jobs
  • Career in Research & Development
  • Technical value addition
  • Expertise in subject/domain specialization
GATE 2019 Eligibility

The following candidates are eligible to appear in GATE:

  • Bachelor’s degree holders in Engineering/Technology (4 years after 10+2 or 3 years after B.Sc./Diploma in Engineering/ Technology) and those who are in the final year of such programs.
  • Bachelor’s degree holders in Architecture (Five years course) and those who are in the final year of such programs.
  • Bachelor’s degree holders of Four-year program in Science (B.S.) and those who are in the final year of such programs.
  • Master’s degree holders in any branch of Science/ Mathematics/ Statistics/Computer Applications or equivalent and those who are in the final year of such programs.
  • Holders of Four-year Integrated Master’s degree (Post B.Sc.) in Engineering/Technology and those who are in the second or higher year of such programs.
  • Holders of Five-year Integrated Master’s degree or Dual Degree in Engineering/Technology and those who are in the fourth or higher year of such programs.
  • Holders of Five-year integrated M.Sc. or Five-year integrated B.Sc./M.Sc. degree and those who are in the final year of such programs.
  • Candidates with qualifications obtained through examinations conducted by professional societies recognized by UPSC/AICTE/ MHRD as equivalent to B.E./B.Tech. Those who have completed Section A of AMIE or equivalent of such professional courses are also eligible.
GATE 2019 Exam Pattern
Section

Question No.

No. of Questions

Marks Per Question

Total Marks

General Aptitude 1 to 5 5 1 5
6 to 10    5 2 10

Technical

+

Engineering

Mathematics

1 to 25 25 1 25
26 to 55 30 2 60
Total Questions : 65 Total Marks : 100 Total Duration : 3 hours

Technical Section :

 70 marks

General Aptitude: 15 marks

Engineering Mathematics :

15 marks

25 marks to 40 marks will allotted to Numeric Answer Type Questions

Usually these days the questions asked are of Multiple Choice and Numerial Answer type questions.

Multiple Choice Questions (MCQs)

These questions are objective in nature and each question will have choice of four answers, out of which the candidate has to mark the correct answer. Each question carries 1 or 2 marks questions in all the sections.

Numerical Answer Questions

There will be no choices available for these types of questions. A Numeric Answer question carries 1 or 2 marks questions in all sections. The answer for these questions is a real number to be entered by using mouse and virtual keypad displayed on the monitor. No negative marking for these questions.

Negative Marking
Questions Type Marks Negative Marking
Multiple Choice Questions (MCQs) 1 mark 0.33
2 marks 0.66
Numerical Answer Questions 1 mark Nil
2 marks Nil
GATE Exam Preparation Strategy

Big Journeys begin with Small Steps

“Success doesn’t necessarily come from breakthrough Innovation, but from flawless Execution.”

Often I hear a concern among the students regarding “What should be our strategy to crack ESE/GATE exams? To answer this question in the most simplified way, this article is my sincere effort to strategise things for aspirants, which will be fruitful for young friends.

There are two categories of ESE/GATE Aspirants :(1) Freshers , preparing first time for the competitive exams (Neophytes) (2) Repeaters , who have already given one or more attempts (Rank Improvers)

(I) Strategy for Neophytes:

If you are fresher and preparing first time then I would suggest you the following approach to be adopted-

• Define your aim and target the desired exam right from the beginning. You should examine closely the examination pattern, syllabus and the level of difficulty.

• The first step for amateurs should be, to go through previous years’ question papers of the aimed exam and identify what type of questions are asked, like whether it is theoretical (then what subjects/which topics are mostly asked) or derivations or numerical type.

• Keep one best reference book for each subject. You are not advised to read too many books for each subject; practically it is not possible in limited time frame.

The STUDY REGIME:

Make an overall plan of your career; define immediate and ultimate goals of your career, then make a roadmap to execute in most effective manner. Being an engineer you should understand the importance of planning and execution of the plan.

Overall plan may be further divided in three stages:

1. Six month /One year plan:

Divide months for different subjects and plan it so as to complete the entire syllabus in the left over time. In the current scenario of high cut-offs, do not go for selective study; instead cover the entire syllabus, because you never know “the topic left could be the topic of conquest.”

2. Subject-wise Plan/ Bi-weekly plan:

For each subject, study should be exam oriented, i.e. you should get acclimatize with the subject , so that you know which area is to be focussed like whether theory has to be focussed or numerical or solving previous years’s questions will suffice. Every subject requires different approach .For example in mathematics you may be required to focus on practicing problems where as in English altogether different approach, similarly in technical subjects the approach may differ from subject to subject.

If you are enrolled in any coaching institute; then concentrate and study well in coaching classroom, your class notes should be full and final and should be ready in classroom itself, with simultaneous marking of IMPORTANT concept /formulae and develop a habit of writing of NOTE points ,wherever required. If only self study is your style of preparing without coaching, then also notes making is advisable.

One point to be kept in mind is “Work for Yourself”; i.e. make notes for yourself, it should be self hand written notes, as this will increase your writing efficiency in terms of speed, accuracy and hand writing and also helps in memory retention.

3. Daily To-Do list /Daily plan:

This is basically for effective time management. Plan and freeze the study hours and abstain from using mobile phones, social media, what's app etc during these hours. 10 to 15 minutes are sufficient to plan next day schedule, it will help in removing redundant activities of your schedule and you can make best use of your time for study. I would also suggest to pre plan your area /subject /topic of your study for next day, it would help in activating senses of your mind to stimulate for study which helps in better memory retention.

Solving previous years’ questions of GATE & ESE (at least of last 10-15 years) should be made contemporaneous with class notes. Do not postpone it for later, topic that is covered in class or studied on your own, finish the previous years' questions on priority basis.

While solving questions, mark the questions which you were not able to solve. Refer the reference book for the clarity of concepts, and solve again. In front of the question write the Page Number and Name of the book referred and in the book referred underline or highlight the concept. This above methodology is to be followed for all workbook and other materials also. After a few months while doing revision you should re-attempt these marked questions only and no need to solve other questions.

Make a REVISION plan:

Make a habit of reading and revising simultaneously.

While studying a particular subject; devote 70-80% of self study time in developing concepts of new subject and rest 20-30% time should be religiously devoted for revision of already completed topics/subjects. And, towards months closer to exam, increase the revision time for proper retention of concepts till exam day.

While revising, make sure you do the following:

  • Review of class notes.
  • Revise underlined/ highlighted portion of text book.
  • Then attempt only the marked questions once more.
  • If time permits, then start with new set of questions.

Make Micro notes:

After finishing every subject make micro notes, which have only principal formulae/ diagrams/ concepts of at most importance, especially note down the area which you find difficult to remember. Then, once this is done, take a snapshot and store in your mobile gallery. These will be your Digital Micro Notes, which can be revised anywhere and everywhere, while travelling, gap between two classes, free time.

Flow like a river:

Be loquacious and discussion oriented with friends and seniors and keep on clearing your doubts, don't allow to accumulate the doubts which may result in mental stress. Also interact with successful seniors and fellow mates to know about their path of success/strategy, it is synonymous with river water which when flows gets self purified.

Evaluate yourself:

Take tests in examination environment and make note of areas of difficulty and make a roadmap to improve these before the next test.

Stay away from incompetent and non-achievers. Don’t let their failure demoralise you in any sense.

Make holistic and balancing approach:

Cover entire syllabus but more time should be given to important areas. Identify important subjects and mark important topics within a subject. Scoring and low scoring areas should be segregated. Make a balance study plan for technical and non technical subjects. Mathematics and Reasoning Aptitude section is quite scoring in GATE exam.

(II) Strategy for Repeaters:

  • Review your past performance and find the reasons for failure. Consider failure as next stepping step. In fact you are not failed your success is little postponed.
  • Identify weak areas of each subject and start your preparation by first improving these areas.
  • Focus more on solving different types of problems and that too from new source of material in each iteration.
  • Plan your study to maintain regularity and self motivation; daily scheduling and subject wise scheduling is very important for a systematic preparation.
  • Join some good test Series & Appear for tests with full preparation and take the test in examination environment and solve previous years' questions of various exams. Solving previous years’ papers of GATE, ESE& CSE may be very useful.
  • To maintain continuity and keeping up the self motivation, form groups of 3-4 friends and make schedule of group study once in a week to discuss complex questions and doubts.

B. Singh (Ex IES)
(CMD, MADE EASY Group)

GATE 2019 Exam consists of Multiple Choice Questions and Numerical Type Questions in all papers & sections. Multiple Choice Questions will contain 4 options, of which only one is correct. For Numerical Type Questions a numerical value as the answer should be entered using mouse and virtual keyboard on the monitor. The following are type of Questions:

(i) Recall: These are based on facts, principles, formulae or laws in the discipline of the paper. The candidate is expected to be able to obtain the answer either from his/her memory of the subject or at most from a one-line computation.

(ii) Comprehension: These questions will test the candidate’s understanding of the basics of his/her field, by requiring him/her to draw simple conclusions from fundamental ideas.

(iii) Application: In these questions, the candidate is expected to apply his/her knowledge either through computation or by logical reasoning.

(iv) Analysis and Synthesis: In these questions, the candidate is presented with data, diagrams, images, etc. that require analysis before a question can be answered. A Synthesis question might require the candidate to compare two or more pieces of information. Questions in this category could, for example, involve candidates in recognizing unstated assumptions, or separating useful information from irrelevant information.

 

Syllabus

Section 1: Engineering Mathematics

Linear Algebra: Matrix algebra; Systems of linear equations; Eigen values and Eigen vectors.

Calculus: Functions of single variable; Limit, continuity and differentiability; Mean value theorems, local maxima and minima, Taylor and Maclaurin series; Evaluation of definite and indefinite integrals, application of definite integral to obtain area and volume; Partial derivatives; Total derivative; Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.

Ordinary Differential Equation (ODE): First order (linear and non-linear) equations; higher order linear equations with constant coefficients; Euler-Cauchy equations; Laplace transform and its application in solving linear ODEs; initial and boundary value problems.

Partial Differential Equation (PDE): Fourier series; separation of variables; solutions of one-dimensional diffusion equation; first and second order one-dimensional wave equation and two-dimensional Laplace equation.

Probability and Statistics: Definitions of probability and sampling theorems; Conditional

probability; Discrete Random variables: Poisson and Binomial distributions; Continuous

random variables: normal and exponential distributions; Descriptive statistics - Mean, median, mode and standard deviation; Hypothesis testing.

Numerical Methods: Accuracy and precision; error analysis. Numerical solutions of linear and non-linear algebraic equations; Least square approximation, Newton’s and Lagrange polynomials, numerical differentiation, Integration by trapezoidal and Simpson’s rule, single and multi-step methods for first order differential equations.

Section 2: Structural Engineering

Engineering Mechanics: System of forces, free-body diagrams, equilibrium equations; Internal forces in structures; Friction and its applications; Kinematics of point mass and rigid body; Centre of mass; Euler’s equations of motion; Impulse-momentum; Energy methods; Principles of virtual work.

Solid Mechanics: Bending moment and shear force in statically determinate beams; Simple stress and strain relationships; Theories of failures; Simple bending theory, flexural and shear stresses, shear centre; Uniform torsion, buckling of column, combined and direct bending stresses.

Structural Analysis: Statically determinate and indeterminate structures by force/ energy methods; Method of superposition; Analysis of trusses, arches, beams, cables and frames; Displacement methods: Slope deflection and moment distribution methods; Influence lines; Stiffness and flexibility methods of structural analysis.

Construction Materials and Management: Construction Materials: Structural steel - composition, material properties and behaviour; Concrete - constituents, mix design, short-term and long-term properties; Bricks and mortar; Timber; Bitumen. Construction Management: Types of construction projects; Tendering and construction contracts; Rate analysis and standard specifications; Cost estimation; Project planning and network analysis - PERT and CPM.

Concrete Structures: Working stress, Limit state and Ultimate load design concepts; Design of beams, slabs, columns; Bond and development length; Prestressed concrete; Analysis of beam sections at transfer and service loads.

Steel Structures: Working stress and Limit state design concepts; Design of tension and compression members, beams and beam- columns, column bases; Connections - simple and eccentric, beam-column connections, plate girders and trusses; Plastic analysis of beams and frames.

 

Section 3: Geotechnical Engineering

Soil Mechanics: Origin of soils, soil structure and fabric; Three-phase system and phase relationships, index properties; Unified and Indian standard soil classification system; Permeability - one dimensional flow, Darcy’s law; Seepage through soils - two-dimensional flow, flow nets, uplift pressure, piping; Principle of effective stress, capillarity, seepage force and quicksand condition; Compaction in laboratory and field conditions; One-dimensional consolidation, time rate of consolidation; Mohr’s circle, stress paths, effective and total shear strength parameters, characteristics of clays and sand.

Foundation Engineering: Sub-surface investigations - scope, drilling bore holes, sampling, plate load test, standard penetration and cone penetration tests; Earth pressure theories - Rankine and Coulomb; Stability of slopes - finite and infinite slopes, method of slices and Bishop’s method; Stress distribution in soils - Boussinesq’s and Westergaard’s theories, pressure bulbs; Shallow foundations - Terzaghi’s and Meyerhoff’s bearing capacity theories, effect of water table; Combined footing and raft foundation; Contact pressure; Settlement analysis in sands and clays; Deep foundations - types of piles, dynamic and static formulae, load capacity of piles in sands and clays, pile load test, negative skin friction.

 

Section 4: Water Resources Engineering

Fluid Mechanics: Properties of fluids, fluid statics; Continuity, momentum, energy and corresponding equations; Potential flow, applications of momentum and energy equations; Laminar and turbulent flow; Flow in pipes, pipe networks; Concept of boundary layer and its growth.

Hydraulics: Forces on immersed bodies; Flow measurement in channels and pipes; Dimensional analysis and hydraulic similitude; Kinematics of flow, velocity triangles; Basics of hydraulic machines, specific speed of pumps and turbines; Channel Hydraulics - Energy-depth relationships, specific energy, critical flow, slope profile, hydraulic jump, uniform flow and gradually varied flow

Hydrology: Hydrologic cycle, precipitation, evaporation, evapo-transpiration, watershed, infiltration, unit hydrographs, hydrograph analysis, flood estimation and routing, reservoir capacity, reservoir and channel routing, surface run-off models, ground water hydrology - steady state well hydraulics and aquifers; Application of Darcy’s law.

Irrigation: Duty, delta, estimation of evapo-transpiration; Crop water requirements; Design of lined and unlined canals, head works, gravity dams and spillways; Design of weirs on permeable foundation; Types of irrigation systems, irrigation methods; Water logging and drainage; Canal regulatory works, cross-drainage structures, outlets and escapes.

 

Section 5: Environmental Engineering

Water and Waste Water: Quality standards, basic unit processes and operations for water treatment. Drinking water standards, water requirements, basic unit operations and unit processes for surface water treatment, distribution of water. Sewage and sewerage treatment, quantity and characteristics of wastewater. Primary, secondary and tertiary treatment of wastewater, effluent discharge standards. Domestic wastewater treatment, quantity of characteristics of domestic wastewater, primary and secondary treatment. Unit operations and unit processes of domestic wastewater, sludge disposal.

Air Pollution: Types of pollutants, their sources and impacts, air pollution meteorology, air pollution control, air quality standards and limits.

Municipal Solid Wastes: Characteristics, generation, collection and transportation of solid wastes, engineered systems for solid waste management (reuse/ recycle, energy recovery, treatment and disposal).

Noise Pollution: Impacts of noise, permissible limits of noise pollution, measurement of noise and control of noise pollution.

Section 6: Transportation Engineering

Transportation Infrastructure: Highway alignment and engineering surveys; Geometric design of highways - cross-sectional elements, sight distances, horizontal and vertical alignments; Geometric design of railway track; Airport runway length, taxiway and exit taxiway design.

Highway Pavements: Highway materials - desirable properties and quality control tests; Design of bituminous paving mixes; Design factors for flexible and rigid pavements; Design of flexible pavement using IRC: 37-2012; Design of rigid pavements using IRC: 58-2011; Distresses in concrete pavements.

Traffic Engineering: Traffic studies on flow, speed, travel time - delay and O-D study, PCU, peak hour factor, parking study, accident study and analysis, statistical analysis of traffic data; Microscopic and macroscopic parameters of traffic flow, fundamental relationships; Control devices, signal design by Webster’s method; Types of intersections and channelization; Highway capacity and level of service of rural highways and urban roads.

 

Section 7: Geomatics Engineering

Principles of surveying; Errors and their adjustment; Maps - scale, coordinate system; Distance and angle measurement - Levelling and trigonometric levelling; Traversing and triangulation survey; Total station; Horizontal and vertical curves.

Photogrammetry - scale, flying height; Remote sensing - basics, platform and sensors, visual image interpretation; Basics of Geographical information system (GIS) and Geographical Positioning system (GPS).

 

Section 1: Engineering Mathematics

Linear Algebra: Matrix algebra, systems of linear equations, eigenvalues and eigenvectors.

Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems, indeterminate forms; evaluation of definite and improper integrals; double and triple integrals; partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima, Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes and Green’s theorems.

Differential equations: First order equations (linear and nonlinear); higher order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave and Laplace's equations.

Complex variables: Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.

Probability and Statistics: Definitions of probability, sampling theorems, conditional probability; mean, median, mode and standard deviation; random variables, binomial, Poisson and normal distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations.

 

Section 2: Applied Mechanics and Design

Engineering Mechanics: Free-body diagrams and equilibrium; trusses and frames; virtual work; kinematics and dynamics of particles and of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations, collisions.

Mechanics of Materials: Stress and strain, elastic constants, Poisson's ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and shear stresses; deflection of beams; torsion of circular shafts; Euler’s theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of materials with universal testing machine; testing of hardness and impact strength.

Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.

Vibrations: Free and forced vibration of single degree of freedom systems, effect of damping; vibration isolation; resonance; critical speeds of shafts.

Machine Design: Design for static and dynamic loading; failure theories; fatigue strength and the S-N diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs.

 

Section 3: Fluid Mechanics and Thermal Sciences

Fluid Mechanics: Fluid properties; fluid statics, manometry, buoyancy, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings.

Heat-Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, Heisler's charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, Stefan-Boltzmann law, Wien's displacement law, black and grey surfaces, view factors, radiation network analysis.

Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behaviour of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.

Applications: Power Engineering: Air and gas compressors; vapour and gas power cycles, concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties of moist air, psychrometric chart, basic psychrometric processes. Turbomachinery: Impulse and reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines.

 

Section 4: Materials, Manufacturing and Industrial Engineering

Engineering Materials: Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials.

Casting, Forming and Joining Processes: Different types of castings, design of patterns, moulds and cores; solidification and cooling; riser and gating design. Plastic deformation and yield criteria; fundamentals of hot and cold working processes; load estimation for bulk (forging, rolling, extrusion, drawing) and sheet (shearing, deep drawing, bending) metal forming processes; principles of powder metallurgy. Principles of welding, brazing, soldering and adhesive bonding.

Machining and Machine Tool Operations: Mechanics of machining; basic machine tools; single and multi-point cutting tools, tool geometry and materials, tool life and wear; economics of machining; principles of non-traditional machining processes; principles of work holding, design of jigs and fixtures.

Metrology and Inspection: Limits, fits and tolerances; linear and angular measurements; comparators; gauge design; interferometry; form and finish measurement; alignment and testing methods; tolerance analysis in manufacturing and assembly.

Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration tools.

Production Planning and Control: Forecasting models, aggregate production planning, scheduling, materials requirement planning.

Inventory Control: Deterministic models; safety stock inventory control systems.

Operations Research: Linear programming, simplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM.

 

Section 1: Engineering Mathematics

Linear Algebra: Matrix Algebra, Systems of linear equations, Eigenvalues, Eigenvectors.

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 integral, Surface integral, Volume integral, Stokes’s theorem, Gauss’s theorem, Green’s theorem.

Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy’s equation, Euler’s equation, Initial and boundary value problems, Partial Differential Equations, Method of separation of variables.

Complex variables: Analytic functions, Cauchy’s integral theorem, Cauchy’s integral formula, Taylor series, Laurent series, Residue theorem, Solution integrals.

Probability and Statistics: Sampling theorems, Conditional probability, Mean, Median, Mode, Standard Deviation, Random variables, Discrete and Continuous distributions, Poisson distribution, Normal distribution, Binomial distribution, Correlation analysis, Regression analysis.

Numerical Methods: Solutions of nonlinear algebraic equations, Single and Multi-step methods for differential equations.

Transform Theory: Fourier Transform, Laplace Transform, z-Transform.

 

Section 2: Electric Circuits

Network graph, KCL, KVL, Node and Mesh analysis, Transient response of dc and ac networks, Sinusoidal steady-state analysis, Resonance, Passive filters, Ideal current and voltage sources, Thevenin’s theorem, Norton’s theorem, Superposition theorem, Maximum power transfer theorem, Two-port networks, Three phase circuits, Power and power factor in ac circuits.

 

Section 3: Electromagnetic Fields

Coulomb's Law, Electric Field Intensity, Electric Flux Density, Gauss's Law, Divergence, Electric field and potential due to point, line, plane and spherical charge distributions, Effect of dielectric medium, Capacitance of simple configurations, Biot-Savart’s law, Ampere’s law, Curl, Faraday’s law, Lorentz force, Inductance, Magnetomotive force, Reluctance, Magnetic circuits,Self and Mutual inductance of simple configurations.

 

Section 4: Signals and Systems

Representation of continuous and discrete- time signals, Shifting and scaling operations, Linear Time Invariant and Causal systems, Fourier series representation of continuous periodic signals, Sampling theorem, Applications of Fourier Transform, Laplace Transform and z-Transform.

 

Section 5: Electrical Machines

Single phase transformer: equivalent circuit, phasor diagram, open circuit and short circuit

tests, regulation and efficiency; Three phase transformers: connections, parallel operation; Auto-transformer, Electromechanical energy conversion principles, DC machines: separately excited, series and shunt, motoring and generating mode of operation and their characteristics, starting and speed control of dc motors; Three phase induction motors: principle of operation, types, performance, torque-speed characteristics, no-load and blocked rotor tests, equivalent circuit, starting and speed control; Operating principle of single phase induction motors; Synchronous machines: cylindrical and salient pole machines, performance, regulation and parallel operation of generators, starting of synchronous motor, characteristics; Types of losses and efficiency calculations of electric machines.

Section 6: Power Systems

Power generation concepts, ac and dc transmission concepts, Models and performance of transmission lines and cables, Series and shunt compensation, Electric field distribution and insulators, Distribution systems, Per-unit quantities, Bus admittance matrix, Gauss-Seidel and Newton-Raphson load flow methods, Voltage and Frequency control, Power factor correction, Symmetrical components, Symmetrical and unsymmetrical fault analysis, Principles of over-current, differential and distance protection; Circuit breakers, System stability concepts, Equal area criterion.

Section 7: Control Systems

Mathematical modeling and representation of systems, Feedback principle, transfer function, Block diagrams and Signal flow graphs, Transient and Steady-state analysis of linear time invariant systems, Routh-Hurwitz and Nyquist criteria, Bode plots, Root loci, Stability analysis, Lag, Lead and Lead-Lag compensators; P, PI and PID controllers; State space model, State transition matrix.

Section 8: Electrical and Electronic Measurements

Bridges and Potentiometers, Measurement of voltage, current, power, energy and power factor; Instrument transformers, Digital voltmeters and multimeters, Phase, Time and Frequency measurement; Oscilloscopes, Error analysis.

Section 9: Analog and Digital Electronics

Characteristics of diodes, BJT, MOSFET; Simple diode circuits: clipping, clamping, rectifiers; Amplifiers: Biasing, Equivalent circuit and Frequency response; Oscillators and Feedback amplifiers; Operational amplifiers: Characteristics and applications; Simple active filters, VCOs and Timers, Combinational and Sequential logic circuits, Multiplexer, Demultiplexer, Schmitt trigger, Sample and hold circuits, A/D and D/A converters, 8085Microprocessor: Architecture, Programming and Interfacing.

 

Section 10: Power Electronics

Characteristics of semiconductor power devices: Diode, Thyristor, Triac, GTO, MOSFET, IGBT; DC to DC conversion: Buck, Boost and Buck-Boost converters; Single and three phase configuration of uncontrolled rectifiers, Line commutated thyristor based converters, Bidirectional ac to dc voltage source converters, Issues of line current harmonics, Power factor, Distortion factor of ac to dc converters, Single phase and three phase inverters, Sinusoidal pulse width modulation.

 

Section 1: Engineering Mathematics

Linear Algebra: Vector space, basis, linear dependence and independence, matrix algebra, eigen values and eigen vectors, rank, solution of linear equations – existence and uniqueness.

Calculus: Mean value theorems, theorems of integral calculus, evaluation of definite and improper integrals, partial derivatives, maxima and minima, multiple integrals, line, surface and volume integrals, Taylor series.

Differential Equations: First order equations (linear and nonlinear), higher order linear differential equations, Cauchy's and Euler's equations, methods of solution using variation of parameters, complementary function and particular integral, partial differential equations, variable separable method, initial and boundary value problems.

Vector Analysis: Vectors in plane and space, vector operations, gradient, divergence and curl, Gauss's, Green's and Stoke's theorems.

Complex Analysis: Analytic functions, Cauchy's integral theorem, Cauchy's integral formula; Taylor's and Laurent's series, residue theorem.

Numerical Methods: Solution of nonlinear equations, single and multi-step methods for differential equations, convergence criteria.

Probability and Statistics: Mean, median, mode and standard deviation; combinatorial probability, probability distribution functions - binomial, Poisson, exponential and normal; Joint and conditional probability; Correlation and regression analysis.

Section 2: Networks, Signals and Systems

Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin and Norton’s, maximum power transfer; Wye-Delta transformation; Steady state sinusoidal analysis using phasors; Time domain analysis of simple linear circuits; Solution of network equations using Laplace transform; Frequency domain analysis of RLC circuits; Linear 2-port network parameters: driving point and transfer functions; State equations for networks.

Continuous-time signals: Fourier series and Fourier transform representations, sampling theorem and applications; Discrete-time signals: discrete-time Fourier transform (DTFT), DFT, FFT, Z-transform, interpolation of discrete -time signals; LTI systems: definition and properties, causality, stability, impulse response, convolution, poles and zeros, parallel and cascade structure, frequency response, group delay, phase delay, digital filter design techniques.

Section 3: Electronic Devices

Energy bands in intrinsic and extrinsic silicon; Carrier transport: diffusion current, drift current, mobility and resistivity; Generation and recombination of carriers; Poisson and continuity equations; P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photo diode and solar cell; Integrated circuit fabrication process: oxidation, diffusion, ion implantation, photolithography and twin-tub CMOS process.

Section 4: Analog Circuits

Small signal equivalent circuits of diodes, BJTs and MOSFETs; Simple diode circuits: clipping, clamping and rectifiers; Single-stage BJT and MOSFET amplifiers: biasing, bias stability, mid-frequency small signal analysis and frequency response; BJT and MOSFET amplifiers: multi-stage, differential, feedback, power and operational; Simple op-amp circuits; Active filters; Sinusoidal oscillators: criterion for oscillation, single-transistor and op-amp configurations; Function generators, wave-shaping circuits and 555 timers; Voltage reference circuits; Power supplies: ripple removal and regulation.

Section 5: Digital Circuits

Number systems; Combinatorial circuits: Boolean algebra, minimization of functions using Boolean identities and Karnaugh map, logic gates and their static CMOS implementations, arithmetic circuits, code converters, multiplexers, decoders and PLAs; Sequential circuits: latches and flip-flops, counters, shift-registers and finite state machines; Data converters: sample and hold circuits, ADCs and DACs; Semiconductor memories: ROM, SRAM, DRAM; 8-bit microprocessor (8085): architecture, programming, memory and I/O interfacing.

Section 6: Control Systems

Basic control system components; Feedback principle; Transfer function; Block diagram representation; Signal flow graph; Transient and steady-state analysis of LTI systems; Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots; Lag, lead and lag-lead compensation; State variable model and solution of state equation of LTI systems.

Section 7: Communications

Random processes: autocorrelation and power spectral density, properties of white noise,

filtering of random signals through LTI systems; Analog communications: amplitude modulation and demodulation, angle modulation and demodulation, spectra of AM and FM, superheterodyne receivers, circuits for analog communications; Information theory: entropy, mutual information and channel capacity theorem; Digital communications: PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying (ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of bandwidth, SNR and BER for digital modulation; Fundamentals of error correction, Hamming codes; Timing and frequency synchronization, inter-symbol interference and its mitigation; Basics of TDMA, FDMA and CDMA.

Section 8: Electromagnetics

Electrostatics; Maxwell’s equations: differential and integral forms and their interpretation, boundary conditions, wave equation, Poynting vector; Plane waves and properties: reflection and refraction, polarization, phase and group velocity, propagation through various media, skin depth; Transmission lines: equations, characteristic impedance, impedance matching, impedance transformation, S-parameters, Smith chart; Waveguides: modes, boundary conditions, cut-off frequencies, dispersion relations; Antennas: antenna types, radiation pattern, gain and directivity, return loss, antenna arrays; Basics of radar; Light propagation in optical fibers.

Section1: Engineering Mathematics

Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Groups. Graphs: connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions.

Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.

Calculus: Limits, continuity and differentiability. Maxima and minima. Mean value theorem. Integration.

Probability: Random variables. Uniform, normal, exponential, poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.

Computer Science and Information Technology

Section 2: Digital Logic

Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).

Section 3: Computer Organization and Architecture

Machine instructions and addressing modes. ALU, data-path and control unit. Instruction pipelining. Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode).

Section 4: Programming and Data Structures

Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.

Section 5: Algorithms

Searching,  sorting,  hashing.  Asymptotic  worst  case  time  and  space  complexity. Algorithm design techniques: greedy, dynamic programming and divide-and-conquer. Graph search, minimum spanning trees, shortest paths.

Section 6: Theory of Computation

Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability.

Section 7: Compiler Design

Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation.

Section 8: Operating System

Processes, threads, inter-process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems.
 

Section 9: Databases

ER-model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.

Section 10: Computer Networks

Concept of layering. LAN technologies (Ethernet). Flow and error control techniques, switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP). Basics of Wi-Fi. Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls.

Section 1: Engineering Mathematics

Linear Algebra: Matrix algebra, systems of linear equations, Eigen values and Eigen vectors.

Calculus: Mean value theorems, theorems of integral calculus, partial derivatives, maxima and minima, multiple integrals, Fourier series, vector identities, 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, 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: Sampling theorems, conditional probability, mean, median, mode and standard deviation, random variables, discrete and continuous distributions: normal, Poisson and binomial distributions.

Numerical Methods: Matrix inversion, solutions of non-linear algebraic equations, iterative methods for solving differential equations, numerical integration, regression and correlation analysis.

 

Instrumentation Engineering

Section 2: Electrical Circuits:

Voltage and current sources: independent, dependent, ideal and practical; v-i relationships of resistor, inductor, mutual inductor and capacitor; transient analysis of RLC circuits with dc excitation.

Kirchoff’s laws, mesh and nodal analysis, superposition, Thevenin, Norton, maximum power transfer and reciprocity theorems.

Peak-, average- and rms values of ac quantities; apparent-, active- and reactive powers; phasor analysis, impedance and admittance; series and parallel resonance, locus diagrams, realization of basic filters with R, L and C elements.

One-port and two-port networks, driving point impedance and admittance, open-, and short circuit parameters.

Section 3: Signals and Systems

Periodic, aperiodic and impulse signals; Laplace, Fourier and z-transforms; transfer function, frequency response of first and second order linear time invariant systems, impulse response of systems; convolution, correlation. Discrete time system: impulse response, frequency response, pulse transfer function; DFT and FFT; basics of IIR and FIR filters.

Section 4: Control Systems

Feedback principles, signal flow graphs, transient response, steady-state-errors, Bode plot, phase and gain margins, Routh and Nyquist criteria, root loci, design of lead, lag and lead-lag compensators, state-space representation of systems; time-delay systems; mechanical, hydraulic and pneumatic system components, synchro pair, servo and stepper motors, servo valves; on-off, P, P-I, P-I-D, cascade, feedforward, and ratio controllers.

Section 5: Analog Electronics

Characteristics and applications of diode, Zener diode, BJT and MOSFET; small signal analysis of transistor circuits, feedback amplifiers. Characteristics of operational amplifiers; applications of opamps: difference amplifier, adder, subtractor, integrator, differentiator, instrumentation amplifier, precision rectifier, active filters and other circuits. Oscillators, signal generators, voltage controlled oscillators and phase locked loop.

Section 6: Digital Electronics

Combinational logic circuits, minimization of Boolean functions. IC families: TTL and CMOS. Arithmetic circuits, comparators, Schmitt trigger, multi-vibrators, sequential circuits, flip-flops, shift registers, timers and counters; sample-and-hold circuit, multiplexer, analog-to-digital (successive approximation, integrating, flash and sigma-delta) and digital-to-analog converters (weighted R, R-2R ladder and current steering logic). Characteristics of ADC and DAC (resolution, quantization, significant bits, conversion/settling time); basics of number systems, 8-bit microprocessor and microcontroller: applications, memory and input-output interfacing; basics of data acquisition systems.

Section 7: Measurements

SI units, systematic and random errors in measurement, expression of uncertainty - accuracy and precision index, propagation of errors. PMMC, MI and dynamometer type instruments; dc potentiometer; bridges for measurement of R, L and C, Q-meter. Measurement of voltage, current and power in single and three phase circuits; ac and dc current probes; true rms meters, voltage and current scaling, instrument transformers, timer/counter, time, phase and frequency measurements, digital voltmeter, digital multimeter; oscilloscope, shielding and grounding.

Section 8: Sensors and Industrial Instrumentation

Resistive-, capacitive -, inductive-, piezoelectric-, Hall effect sensors and associated signal conditioning circuits; transducers for industrial instrumentation: displacement (linear and angular), velocity, acceleration, force, torque, vibration, shock, pressure (including low pressure), flow (differential pressure, variable area, electromagnetic, ultrasonic, turbine and open channel flow meters) temperature (thermocouple, bolometer, RTD (3/4 wire), thermistor, pyrometer and semiconductor); liquid level, pH, conductivity and viscosity measurement.

Section 9: Communication and Optical Instrumentation

Amplitude- and frequency modulation and demodulation; Shannon's sampling theorem, pulse code modulation; frequency and time division multiplexing, amplitude-, phase-, frequency-, pulse shift keying for digital modulation; optical sources and detectors: LED, laser, photo-diode, light dependent resistor and their characteristics; interferometer: applications in metrology; basics of fiber optic sensing.

Subject Specialization Priority

  • VLSI Design Tool Technology
  • Integrated Electronics & Circuits
  • Micro Electronics
  • Microwave Engineering
  • Communication Engg
  • Telecommunication Technology & Management
  • Optoelectronics & Optical Communication
  • Nanotechnology
  • Digital Signal Processing
  • Control & Automation
  • Power Electronics
  • Machines & Drives
  • Power Systems
  • Control & Automation
  • Digital Signal Processing
  • Instrumentation Technology
  • Design of Mechanical Equipment or Machine Design
  • Thermal Engineering
  • Manufacturing Science & Engineering
  • Production Engineering
  • Industrial Engineering
  • Material Science & management
  • Structural Engineering
  • Geotechnical Engineering
  • Construction Engineering &Management
  • Transportation Engineering
  • Environmental Engineering
  • Earthquake Engineering
  • Water Resources Engineering
  • Rock Engineering & Underground Structure
  • Computer Science
  • Information Technology
  • Information Security
  • Software Engineering
  • Distributed Computing
  • Image Processing
  • Computer Systems and Hardware
  • Database and Information Systems
  • Programming languages
  • Computer Networks and Distributed Systems
  • Artificial Intelligence
  • Advanced Computing

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Schedule

GATE Online Application Processing System (GOAPS)
Website Opens for Enrolment, Application
Filling, Application Submission
September 01, 2018 (Saturday)

Last Date for Submission of Online
Application through Website

October 01,  2018 (Monday)

Last Date for Request for Change in the
Choice of Examination City via GOAPS login

November 16, 2018 (Friday)

Availability of Admit Card on the Online
Application Interface for printing

January 04, 2019 (Friday)

GATE 2019 Online Examination Dates

February 02- 03 & February 09-10, 2019
(Saturdays & Sundays)

Announcement of Results on the Online Application Website

March 16, 2019 (Saturday)

Resources

How to Prepare

  • GATE examination consists only of multiple and numerical answer type questions, hence only correct answer fetches marks.
  • Practice previous year question papers and analyze the weak topics and concentrate more on those topics. Candidates must try to solve the papers in a given time limit to obtain an idea as to how many questions are solved within the allotted time.
  • Impart equal emphasis on both theory and numerical problems. 
  • Browse through the GATE syllabus for topics allotted more weightage and prepare them.
  • Group Study is an effective way to brush up knowledge about technical topics with fellow partners and also helps to explore new techniques and methods to better understand the topics.
  • Do not make wild guess as there is negative marking associated with the questions. 
  • Prepare the list of important definitions, equations, derivations, theorems, laws in every subject.
  • Pay more attention while attempting linked and common data questions.

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