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#1
September 21st, 2012, 04:33 PM
 discoverindia. Guest
Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech

I want to know about the Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech so please can you give me the date of exam and also provide me the syllabus of this exam.

#2
September 21st, 2012, 04:54 PM
 Super Moderator Join Date: Nov 2011
Re: Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech

The JNTU accepts score card of the PGCET entrance exam to provide admission in its M.Tech program. The exam is conducted by OU. Here is the syllabus of the exam:

1.CE- CIVIL ENGINEERING
ENGINEERING MATHEMATICS,
Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.
Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value theorems,
Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima,
Gradient Divergence and Curl, Vector identities, D

__________________
#3
March 9th, 2013, 10:14 PM
 Unregistered Guest
Re: Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech

sir i want know the difference between pgecet & pgcet of andhra pradesh pls kindly guide me whether this two test or same or not
my mail id is khalidirfan0020@gmail.com
#4
March 6th, 2014, 10:29 AM
 Unregistered Guest
Re: Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech

#5
March 6th, 2014, 10:33 AM
 Super Moderator Join Date: Nov 2011
Re: Andhra Pradesh PGCET Entrance Exam for JNTU M.Tech

Post Graduate Common Entrance Test (PGCET) is Andhra Pradesh state level common entrance test for admission into regular post graduate courses in Engineering, Technology, Architecture, Pharmacy and Graduate Level pharma-D.

Post Graduate Common Entrance Test (PGCET) Exam Syllabus

AP PGCET Exam Syllabus

Annexure A: Syllabi of Test Papers

Aerospace Engineering (AS)

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, evaluation
of definite and improper integrals, partial derivatives, total derivative, maxima and minima, gradient,
divergence and curl, vector identities, directional derivatives, line, surface and volume integrals. Theorems of
Stokes, Gauss and Green.
Differential Calculus: First order linear and nonlinear equations; higher order linear ODEs with constant
coefficients, Cauchy and Euler equations, and initial and boundary value problems, Laplace transforms. Partial
differential equations and separation of variables methods.
Numerical methods: Numerical solution of linear and nonlinear algebraic equations, integration by
trapezoidal and Simpson rule, single and multi-step methods for differential equations.
Flight Mechanics
Atmosphere: Properties, standard atmosphere. Classification of aircraft. Airplane (fixed wing aircraft)
configuration and various parts.
Airplane performance: Pressure altitude; equivalent, calibrated, indicated air speeds; Primary flight
instruments: Altimeter, ASI, VSI, Turn-bank indicator. Drag polar; take off and landing; steady climb &
descent,-absolute and service ceiling; cruise, cruise climb, endurance or loiter; load factor, turning flight, V-n
diagram; Winds: head, tail & cross winds.
Static stability: Angle of attack, sideslip; roll, pitch & yaw controls; longitudinal stick fixed & free stability,
horizontal tail position and size; directional stability, vertical tail position and size; dihedral stability. Wing
dihedral, sweep & position; hinge moments, stick forces.
Dynamic stability: Euler angles; Equations of motion; aerodynamic forces and moments, stability & control
derivatives; decoupling of longitudinal and lat-directional dynamics; longitudinal modes; lateral-directional
modes.
Space Dynamics
Central force motion, determination of trajectory and orbital period in simple cases. Orbit transfer, in-plane
and out-of-plane. Elements of rocket motor performance.
Aerodynamics
Basic Fluid Mechanics: Incompressible irrotational flow, Helmholtz and Kelvin theorem, singularities and
superposition, viscous flows, boundary layer on a flat plate.
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Airfoils and wings: Classification of airfoils, aerodynamic characteristics, high lift devices, Kutta Joukowski
theorem; lift generation; thin airfoil theory; wing theory; induced drag; qualitative treatment of low aspect ratio
wings.
Viscous Flows: Flow separation, introduction to turbulence, transition, structure of a turbulent boundary layer.
Compressible Flows: Dynamics and Thermodynamics of I-D flow, isentropic flow, normal shock, oblique
shock, Prandtl-Meyer flow, flow in nozzles and diffusers, inviscid flow in a c-d nozzle, flow in diffusers.
Subsonic and supersonic airfoils, compressibility effects on lift and drag, critical and drag divergence Mach
number, wave drag.
Wind Tunnel Testing: Measurement and visualisation techniques.
Structures
Stress and Strain: Equations of equilibrium, constitutive law, strain-displacement relationship, compatibility
equations, plane stress and strain, Airy's stress function.
Flight Vehicle Structures: Characteristics of aircraft structures and materials, torsion, bending and flexural
shear. Flexural shear flow in thin-walled sections. Buckling. Failure theories. Loads on aircraft.
Structural Dynamics: Free and forced vibration of discrete systems. Damping and resonance. Dynamics of
continuous systems.
Propulsion Thermodynamics of Aircraft Gas Turbine engines thrust and thrust augmentation.
Turbo machinery: Axial compressors and turbines, centrifugal pumps and compressors.
Aerothermodynamics of non rotating propulsion components: Intakes, combustor and nozzle.
Thermodynamics of ramjets and scramjets. Elements of rocket propulsion.
================================================== ==========================
Architecture and Planning (AR)
City planning: Evolution of cities; principles of city planning; types of cities & new towns; planning
regulations and building byelaws; eco-city concept; sustainable development.
Housing: Concept of housing; neighborhood concept; site planning principles; housing typology; housing
standards; housing infrastructure; housing policies, finance and management; housing programs in India; self
help housing.
Landscape Design: Principles of landscape design and site planning; history of landscape styles; landscape
elements and materials; plant characteristics & planting design; environmental considerations in landscape
planning.
Computer Aided Design: Application of computers in architecture and planning; understanding elements of
hardware and software; computer graphics; programming languages C and Visual Basic and usage of packages
such as AutoCAD, 3D-Studio, 3D Max.
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Environmental Studies in Building Science: Components of Ecosystem; ecological principles concerning
environment; climate responsive design; energy efficient building design; thermal comfort; solar architecture;
principles of lighting and styles for illumination; basic principles of architectural acoustics; environment
pollution, their control & abatement.
Visual and Urban Design: Principles of visual composition; proportion, scale, rhythm, symmetry, harmony,
datum, balance, form, color, texture; sense of place and space, division of space; barrier free design; focal
point, vista, image ability, visual survey, figure-background relationship.
History of Architecture: Indian Indus valley, Vedic, Buddhist, Indo-Aryan, Dravidian and Mughal periods;
European Egyptian, Greek, Roman, medieval and renaissance periods- construction and architectural styles;
Development of Contemporary Architecture: Architectural developments and impacts on society since
industrial revolution; influence of modern art on architecture; works of national and international architects; art
novuea, eclecticism, international styles, post modernism, deconstruction in architecture.
Building Services: Water supply, sewerage and drainage systems; sanitary fittings and fixtures; plumbing
systems, principles of internal & external drainage systems, principles of electrification of buildings, intelligent
buildings; elevators & escalators, their standards and uses; air conditioning systems; fire fighting systems,
building safety and security systems.
Building Construction and Management: Building construction techniques, methods and details; building
systems and prefabrication of building elements; principles of modular coordination; estimation, specification,
valuation, professional practice; project management techniques e.g., PERT, CPM etc;
Materials and Structural Systems: Behavioral characteristics of all types of building materials e.g. mud,
timber, bamboo, brick, concrete, steel, glass, FRP, different polymers, composites; principles of strength of
materials; design of structural elements in wood, steel and RCC; elastic and limit state design; complex
structural systems; principles of pre-stressing; tall buildings; principles of disaster resistant structures.
Planning Theory: Regional planning; settlement system planning; history of human settlements; growth of
cities & metropolises; principles of Ekistics; rural-urban migration; urban conservation; urban renewal; Fiveyear
plan; structural and sect oral plan.
Techniques of Planning: Planning survey techniques; preparation of urban and regional structure plans,
development plans, action plans; site planning principles and design; statistical methods of data analysis;
application of G.I.S and remote sensing techniques in urban and regional planning; decision making models.
Traffic and Transportation Planning: Principles of traffic engineering and transportation planning; traffic
levels of services; traffic and transport management in urban areas, intelligent transportation system; mass
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transportation planning; Para-transits and other modes of transportation, pedestrian & slow moving traffic
planning.
Infrastructure, Services and Amenities: Principles of water supply and sanitation systems; water treatment;
solid waste disposal systems; waste treatment, recycle & reuse; urban rainwater harvesting; power supply and
communication systems --- network, design & guidelines; demography related standards at various levels of
the settlements for health, education, recreation, religious & public-semi public facilities.
Development Administration and Management: Planning laws; development control and zoning
regulations; laws relating to land acquisition; development enforcements, urban land ceiling; land management
techniques; planning and municipal administration; disaster mitigation management; 73rd & 74th
Constitutional amendments; valuation & taxation; revenue resources and fiscal management; public
participation and role of NGO & CBO; Institutional networking & capacity building.
================================================== ==========================
Bio Medical Engineering (BM)
Engineering Mathematics:
Differential and integral calculus. Partial and total differentials. Composite functions. Systems of linear
equations. Matrices and determinants, rank, Cramer’s rule. Differential equations. Homogeneous and non
homogeneous. Power series. Theory of complex variables, Cauchy-Reimann equations. Cauchy’s residue
theorem. Singular points, evaluation of residues. Probability: Conditional probability, mean, median, mode and
standard deviation; random variables; Uniform, Normal, Exponential, Poisson and Binomial distributions.
Biomedical Engineering
Bioelectricity: Resting Potential. Action Potential. Nernst Equation. Propagation in myelinated and
unmyelinated nerve fibres. Origin of biopotential signals like ECG, EEG, EMG and EOG. Biopotential
electrodes. Medical Instrumentation and Equipment: General characteristics of medical instruments. Analytical
Instrumentation. ECG, EEG, EMG, Cardiac Pacemaker, Defibrillator, X-ray machine, Hemodialyses,
Ventilator, Heart -lung Machine, and Surgical diathermy. Biomechanics and Biomaterials: Mechanical
properties of bone and soft tissues. Viscoelasticity. Analysis of forces in skeletal joints. Mechanics of blood
flow in the cardiovascular system. Biocompatibility. Characteristics of an ideal biomaterial. Metals, polymers
and ceramics. . Biomedical signal processing and Imaging : QRS detection methods. Rhythm analysis. ECG
pattern recognition. ECG data compression algorithms. Detection of resting rhythms. Ultrasound, CT, MRI,
PET. Techniques of Image enhancement and reconstruction. Biological Control Systems: General features of
biological control systems. Regulation of body temperature, blood pressure, and heart rate.
Electronic Engineering
Electronic devices and circuits: p-n junction, BJT, MOSFET characteristics, basic amplifier configurations,
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biasing of BJT and JFET, difference amplifier, R-C coupled amplifier, frequency response, feedback in
amplifiers, power amplifiers, power rectification. Pulse and digital circuits: Linear and non linear wave shaping,
sweep circuits, Multivibrators, logic gates Boolean algebra, arithmetic circuits, TTL, MOS, CMOS, flip-flops,
counters, shift registers, 8-bit microprocessor architecture, programming and interfacing. Signals and Systems:
Representation of continuous and discrete-time-signals; linear, time -invariant and causal systems, Fourier
series representation of continuous periodic signals, sampling theorem, Fourier, Laplace and Z-transforms.
Electrical Engineering
Topological description of a network, KVL, KCL, Mesh and nodal analysis. First and second order circuits, RL,
RC and RLC circuits. forced and natural response of a network to step, impulse and sinusoidal inputs, Transient
and steady state response. Laplace-transform method of solution. Network theorems. Implications of Linearity,
Signal analysis, Two port networks. Electrical machines: Single phase transformer, three phase transformers,
DC machines-types winding, generator characteristics, armature reaction and commutation. Starting and speed
control of motors. Three phase and single phase induction motors principles Control systems: Principles o f
feedback, transfer function, block diagrams, steady-state errors. Stability. Routh and Nyquist techniques.
Electronics and Instrumentation Engineering
Bridges and potentiometers, PMMC, moving iron, dynamo meter and induction type instruments. Measurement
of voltage, current, power, energy and power factor. Instrument transformers. Digital voltmeters and
multimeters. Phase, time and frequency measurement. Q”meters; oscillo scopes, Potentiometric recorders.
Transducers: Basic requirements, passive and active transducers. Operating principles of transducers for
measurement of displacement, temperature, pressure and flow. Signal conditioning circuits. Applications.
================================================== =========================
Bio Technology (BT)
Engineering Mathematics
Linear Algebra: Matrices and determinants, Systems of linear equations, Eigen values and Eigen vectors.
Calculus: Limit, continuity and differentiability, Partial derivatives, Maxima and minima, Sequences and
series, Test for convergence, Fourier series.
Differential Equations: Linear and nonlinear first order ODEs, higher order ODEs with constant coefficients,
Cauchy’s and Euler’s equations, Laplace transforms, PDE- Laplace, heat and wave equations.
Probability and Statistics: Mean, median, mode and standard deviation, Random variables, Poisson, normal
and binomial distributions, Correlation and regression analysis.
Numerical Methods: Solution of linear and nonlinear algebraic equations, Integration of trapezoidal and
Simpson’s rule, Single and multistep methods for differential equations.
Biotechnology
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Microbiology: Prokaryotic and eukaryotic cell structure; Microbial nutrition, growth and control; Microbial
metabolism (aerobic and anaerobic respiration, photosynthesis); Nitrogen fixation; Chemical basis of
mutations and mutagens; Microbial genetics (plasmids, transformation, transduction, conjugation); Microbial
diversity and characteristic features; Viruses.
Biochemistry: Biomolecules and their conformation; Ramachandran map; Weak inter-molecular interactions
in biomacromolecules; Chemical and functional nature of enzymes; Kinetics of single substrate and bisubstrate
enzyme catalyzed reactions; Bioenergetics; Metabolism (Glycolysis, TCA and Oxidative
phosphorylation); Membrane transport and pumps; Cell cycle and cell growth control; Cell signaling and
signal transduction; Biochemical and biophysical techniques for macromolecular analysis.
Molecular Biology and Genetics: Molecular structure of genes and chromosomes; DNA replication and
control; Transcription and its control; Translational processes; Regulatory controls in prokaryotes and
eukaryotes; Mendelian inheritance; Gene interaction; Complementation; Linkage, recombination and
chromosome mapping; Extra chromosomal inheritance; Chromosomal variation; Population genetics;
Transposable elements, Molecular basis of genetic diseases and applications.
Process Biotechnology: Bioprocess technology for the production of cell biomass and primary/secondary
metabolites, such as baker’s yeast, ethanol, citric acid, amino acids, exopolysacharides, antibiotics and
pigments etc.; Microbial production, purification and bioprocess application(s) of industrial enzymes;
Production and purification of recombinant proteins on a large scale; Chromatographic and membrane based
bioseparation methods; Immobilization of enzymes and cells and their application for bioconversion processes.
Aerobic and anaerobic biological processes for stabilization of solid / liquid wastes; Bioremediation.
Bioprocess Engineering: Kinetics of microbial growth, substrate utilization and product formation; Simple
structured models; Sterilization of air and media; Batch, fed-batch and continuous processes; Aeration and
agitation; Mass transfer in bioreactors; Rheology of fermentation fluids; Scale-up concepts; Design of
fermentation media; Various types of microbial and enzyme reactors; Instrumentation in bioreactors.
Plant and Animal Biotechnology: Special features and organization of plant cells; Totipotency; Regeneration
of plants; Plant products of industrial importance; Biochemistry of major metabolic pathways and products;
Autotrophic and heterotrophic growth; Plant growth regulators and elicitors; Cell suspension culture
development: methodology, kinetics of growth and production formation, nutrient optimization; Production of
secondary metabolites by plant suspension cultures; Hairy root cultures and their cultivation. Techniques in
raising transgencies.
Characteristics of animal cells: Metabolism, regulation and nutritional requirements for mass cultivation of
animal cell cultures; Kinetics of cell growth and product formation and effect of shear force; Product and
substrate transport; Micro & macro-carrier culture; Hybridoma technology; Live stock improvement; Cloning
in animals; Genetic engineering in animal cell culture; Animal cell preservation.
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Immunology: The origin of immunology; Inherent immunity; Humoral and cell mediated immunity; Primary
and secondary lymphoid organ; Antigen; B and T cells and Macrophages; Major histocompatibility complex
(MHC); Antigen processing and presentation; Synthesis of antibody and secretion; Molecular basis of antibody
diversity; Polyclonal and monoclonal antibody; Complement; Antigen-antibody reaction; Regulation of
immune response; Immune tolerance; Hyper sensitivity; Autoimmunity; Graft versus host reaction.
Recombinant DNA Technology: Restriction and modification enzymes; Vectors: plasmid, bacteriophage and
other viral vectors, cosmids, Ti plasmid, yeast artificial chromosome; cDNA and genomic DNA library; Gene
isolation; Gene cloning; Expression of cloned gene; Transposons and gene targeting; DNA labeling; DNA
sequencing; Polymerase chain reactions; DNA fingerprinting; Southern and northern blotting; In-situ
hybridization; RAPD; RFLP; Sitedirected mutagenesis; Gene transfer technologies; Gene therapy.
Bioinformatics: Major Bioinformatics resources (NCBI, EBI, ExPASy); Sequence and structure databases;
Sequence analysis (bimolecular sequence file formats, scoring matrices, sequence alignment, phylogeny);
Genomics and Proteomics (Large scale genome sequencing strategies; Comparative genomics; Understanding
DNA micro arrays and protein arrays); Molecular modeling and simulations (basic concepts including concept
of force fields).
================================================== =========================
Chemical Engineering (CH)
Engineering Mathematics
Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.
Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value theorems,
Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima,
Gradient, Divergence and Curl, Vector densities, Directional derivatives, Line, Surface and Volume integrals,
Stokes, Gauss and Green's theorems.
Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations
with constant coefficients, Cauchy's and Euler's equations, Initial and boundary value problems, Laplace
transforms, Solutions of one dimensional heat and wave equations and Laplace equation.
Complex variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series, Residue
theorem.
Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean,
median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.
Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by
trapezoidal and Simpson's rule, single and multi-step methods for differential equations.
Chemical Engineering
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Process Calculations and Thermodynamics: Laws of conservation of mass and energy; use of tie
components; recycle, bypass and purge calculations; degree of freedom analysis. First and Second laws of
thermodynamics. First law application to close and open systems. Second law and Entropy Thermodynamic
properties of pure substances: equation of state and departure function, properties of mixtures: partial molar
properties, fugacity, excess properties and activity coefficients; phase equilibria: predicting VLE of systems;
chemical reaction equilibria.
Fluid Mechanics and Mechanical Operations: Fluid statics, Newtonian and non-Newtonian fluids, Bernoulli
equation, Macroscopic friction factors, energy balance, dimensional analysis, shell balances, flow through
pipeline systems, flow meters, pumps and compressors, packed and fluidized beds, elementary boundary layer
theory, size reduction and size separation; free and hindered settling; centrifuge and cyclones; thickening and
classification, filtration, mixing and agitation; conveying of solids.
conduction, boiling, condensation and evaporation; types of heat exchangers and evaporators and their design.
Mass Transfer: Fick's laws, molecular diffusion in fluids, mass transfer coefficients, film, penetration and
surface renewal theories; momentum, heat and mass transfer analogies; stage wise and continuous contacting
and stage efficiencies; HTU & NTU concepts design and operation of equipment for distillation, absorption,
leaching, liquid-liquid extraction, drying, humidification, dehumidification and adsorption.
Chemical Reaction Engineering: Theories of reaction rates; kinetics of homogeneous reactions,
interpretation of kinetic data, single and multiple reactions in ideal reactors, non-ideal reactors; residence time
distribution, single parameter model; non-isothermal reactors; kinetics of heterogeneous catalytic reactions;
diffusion effects in catalysis. Instrumentation and Process Control: Measurement of process variables;
sensors, transducers and their dynamics, transfer functions and dynamic responses of simple systems, process
reaction curve, controller modes (P, PI, and PID); control valves; analysis of closed loop systems including
stability, frequency response and controller tuning, cascade, feed forward control.
Plant Design and Economics: Process design and sizing of chemical engineering equipment such as
compressors, heat exchangers, multistage contactors; principles of process economics and cost estimation
including total annualized cost, cost indexes, rate of return, payback period, discounted cash flow, optimization
in design.
Chemical Technology: Inorganic chemical industries; sulfuric acid, NaOH, fertilizers (Ammonia, Urea, SSP
and TSP); natural products industries (Pulp and Paper, Sugar, Oil, and Fats); petroleum refining and
petrochemicals; polymerization industries; polyethylene, polypropylene, PVC and polyester synthetic fibers.
================================================== ==========================
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Civil Engineering (CE)
Engineering Mathematics
Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.
Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value theorems,
Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima,
Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals,
Stokes, Gauss and Green's theorems.
Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations
with constant coefficients, Cauchy's and Euler's equations, Initial and boundary value problems, Laplace
transforms, Solutions of one dimensional heat and wave equations and Laplace equation.
Complex variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series.
Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean,
median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.
Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by
trapezoidal and Simpson's rule, single and multi-step methods for differential equations.
Structural Engineering
Mechanics: Bending moment and shear force in statically determinate beams. Simple stress and strain
relationship: Stress and strain in two dimensions, principal stresses, stress transformation, Mohr's circle.
Simple bending theory, flexural and shear stresses, unsymmetrical bending, shear centre. Thin walled pressure
vessels, uniform torsion, buckling of column, combined and direct bending stresses.
Structural Analysis: Analysis of statically determinate trusses, arches, beams, cables and frames,
displacements in statically determinate structures and analysis of statically indeterminate structures by force/
energy methods, analysis by displacement methods (slope deflection and moment distribution methods),
influence lines for determinate and indeterminate structures. Basic concepts of matrix methods of structural
analysis.
Concrete Structures: Concrete Technology- properties of concrete, basics of mix design. Concrete design
basic working stress and limit state design concepts, analysis of ultimate load capacity and design of members
subjected to flexure, shear, compression and torsion by limit state methods. Basic elements of prestressed
concrete, analysis of beam sections at transfer and service loads.
Steel Structures: Analysis and 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.
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Geotechnical Engineering
Soil Mechanics: Origin of soils, soil classification, three-phase system, fundamental definitions, relationship
and interrelationships, permeability & seepage, effective stress principle, consolidation, compaction, shear
strength.
Foundation Engineering: Sub-surface investigations- scope, drilling bore holes, sampling, penetration tests,
plate load test. Earth pressure theories, effect of water table, layered soils. Stability of slopes infinite slopes,
finite slopes. Foundation types-foundation design requirements. Shallow foundations-bearing capacity, effect
of shape, water table and other factors, stress distribution, settlement analysis in sands & clays. Deep
foundations pile types, dynamic & static formulae, load capacity of piles in sands & clays, negative skin
friction.
Water Resources Engineering
Fluid Mechanics and Hydraulics: Properties of fluids, principle of conservation of mass, momentum, energy
and corresponding equations, potential flow, applications of momentum and Bernoulli’s equation, laminar and
turbulent flow, flow in pipes, pipe networks. Concept of boundary layer and its growth. Uniform flow, critical
flow and gradually varied flow in channels, specific energy concept, hydraulic jump. Forces on immersed
bodies, flow measurements in channels, tanks and pipes. Dimensional analysis and hydraulic modeling.
Kinematics of flow, velocity triangles and specific speed of pumps and turbines.
Hydrology: Hydrologic cycle, rainfall, evaporation, infiltration, stage discharge relationships, unit
hydrographs, flood estimation, reservoir capacity, reservoir and channel routing. Well hydraulics.
Irrigation: Duty, delta, estimation of evapo-transpiration. Crop water requirements. Design of: lined and
unlined canals, waterways, head works, gravity dams and spillways.
Design of weirs on permeable foundation. Types of irrigation system, irrigation methods. Water logging and
drainage, sodic soils.
Environmental Engineering
Water requirements: 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, sludge disposal, 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).
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Noise Pollution: Impacts of noise, permissible limits of noise pollution, measurement of noise and control of
noise pollution.
Transportation Engineering
Highway Planning: Geometric design of highways, testing and specifications of paving materials, design of
flexible and rigid pavements.
Traffic Engineering: Traffic characteristics, theory of traffic flow, intersection design, traffic signs and signal
design, highway capacity. Surveying: Importance of surveying, principles and classifications, mapping
concepts, coordinate system, map projections, measurements of distance and directions, leveling, theodolite
traversing, plane table surveying, errors and adjustments, curves.
================================================== =========================
Computer Science & Information Technology (CS)
Engineering Mathematics
Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random Variables;
Distributions; uniform, normal, exponential, Poisson, Binomial.
Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean Algebra.
Combinatorics: Permutations; Combinations; Counting; Summation; generating functions; recurrence
relations; asymptotic.
Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen
vectors.
Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of non-linear
algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal
and Simpson's rules.
Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus,
evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.
Computer Science and Information Technology
Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching; independent sets;
Colouring; Planarity; Isomorphism.
Mathematical Logic: Propositional Logic; First Order Logic.
Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and sequential circuits;
Number representation and computer arithmetic (fixed and floating point).
Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data-path,
CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache
and main memory, Secondary storage.
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Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, Scope,
Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.
Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case
analysis; Design: Greedy approach, Dynamic programming, Divide-and conquer; Tree and graph traversals,
Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis
(best, worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes
P, NP, NP-hard, NP-complete.
Theory of Computation: Regular languages and finite automata, Context free languages and Push-down
automata, Recursively enumerable sets and Turing machines, Undecidability.
Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate
and target code generation, Basics of code optimization.
Operating System: Processes, Threads, Inter-process communication, Concurrency, Synchronization,
Deadlock, CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection
and security.
Databases: ER-model, Relational model (relational algebra, tuple calculus), Database design (integrity
constraints, normal forms), Query languages (SQL), File structures (sequential files, indexing, B and B+ trees),
Transactions and concurrency control.
Information Systems and Software Engineering: information gathering, requirement and feasibility
analysis, data flow diagrams, process specifications, input/output design, process life cycle, planning and
managing the project, design, coding, testing, implementation, maintenance.
Computer Networks: ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control
techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), Application layer
protocols (icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches, gateways, and routers. Network
security basic concepts of public key and private key cryptography, digital signature, firewalls.
Web technologies: HTML, XML, basic concepts of client-server computing.
================================================== ===========================
Electrical Engineering (EE)
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.
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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.
Electrical Engineering
Electric Circuits and Fields: Network graph, KCL, KVL, node and mesh analysis, transient response of dc
and ac networks; sinusoidal steady-state analysis, resonance, basic filter concepts; ideal current and voltage
sources, Thevenin's, Norton's and Superposition and Maximum Power Transfer theorems, two-port networks,
three phase circuits; Gauss Theorem, electric field and potential due to point, line, plane and spherical charge
distributions; Ampere's and Biot-Savart's laws; inductance; dielectrics; capacitance.
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; Fourier, Laplace and Z transforms.
Electrical Machines: Single phase transformer - equivalent circuit, phasor diagram, tests, regulation and
efficiency; three phase transformers - connections, parallel operation; auto-transformer; energy conversion
principles; DC machines - types, windings, generator characteristics, armature reaction and commutation,
starting and speed control of motors; three phase induction motors - principles, types, performance
characteristics, starting and speed control; single phase induction motors; synchronous machines -
performance, regulation and parallel operation of generators, motor starting, characteristics and applications;
servo and stepper motors.
Power Systems: Basic power generation concepts; transmission line models and performance; cable
performance, insulation; corona and radio interference; distribution systems; per-unit quantities; bus
impedance and admittance matrices; load flow; voltage control; power factor correction; economic operation;
symmetrical components; fault analysis; principles of over-current, differential and distance protection; solid
state relays and digital protection; circuit breakers; system stability concepts, swing curves and equal area
criterion; HVDC transmission and FACTS concepts.
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Control Systems: Principles of feedback; transfer function; block diagrams; steady-state errors; Routh and
Niquist techniques; Bode plots; root loci; lag, lead and lead-lag compensation; state space model; state
transition matrix, controllability and observability.
Electrical and Electronic Measurements: Bridges and potentiometers; PMMC, moving iron, dynamometer
and induction type instruments; measurement of voltage, current, power, energy and power factor; instrument
transformers; digital voltmeters and multimeters; phase, time and frequency measurement; Q-meters;
oscilloscopes; potentiometric recorders; error analysis.
Analog and Digital Electronics: Characteristics of diodes, BJT, FET; 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;
Schmitt trigger; multi-vibrators; sample and hold circuits; A/D and D/A converters; 8-bit microprocessor
basics, architecture, programming and interfacing.
Power Electronics and Drives: Semiconductor power diodes, transistors, thyristors, triacs, GTOs, MOSFETs
and IGBTs - static characteristics and principles of operation; triggering circuits; phase control rectifiers;
bridge converters - fully controlled and half controlled; principles of choppers and inverters; basis concepts of
adjustable speed dc and ac drives.
================================================== ==========================
Electronics & Communication Engineering (EC)
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.
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Electronics and Communication Engineering
Networks: Network graphs: matrices associated with graphs; incidence, fundamental cut set and fundamental
circuit matrices. 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.
Linear constant coefficient differential equations; time domain analysis of simple RLC circuits, Solution of
network equations using Laplace transform: frequency domain analysis of RLC circuits. 2-port network
parameters: driving point and transfer functions. State equations for networks.
Electronic Devices: Energy bands in silicon, intrinsic and extrinsic silicon. Carrier transport in silicon:
diffusion current, drift current, mobility, and resistivity. Generation and recombination of carriers. p-n junction
diode, Zener diode, tunnel diode, BJT, JFET, MOS capacitor, MOSFET, LED, p-I-n and avalanche photo
diode, Basics of LASERs. Device technology: integrated circuits fabrication process, oxidation, diffusion, ion
implantation, photolithography, n-tub, p-tub and twin-tub CMOS process.
Analog Circuits: Small Signal Equivalent circuits of diodes, BJTs, MOSFETs and analog CMOS. Simple
diode circuits, clipping, clamping, rectifier. Biasing and bias stability of transistor and FET amplifiers.
Amplifiers: single-and multi-stage, differential and operational, feedback, and power. Frequency response of
amplifiers. Simple op-amp circuits. Filters. Sinusoidal oscillators; criterion for oscillation; single-transistor and
op-amp configurations. Function generators and wave-shaping circuits, 555 Timers. Power supplies.
Digital circuits: Boolean algebra, minimization of Boolean functions; logic gates; digital IC families (DTL,
TTL, ECL, MOS, CMOS). Combinatorial circuits: arithmetic circuits, code converters, multiplexers, decoders,
PROMs and PLAs. Sequential circuits: latches and flip-flops, counters and shift-registers. Sample and hold
circuits, ADCs, DACs. Semiconductor memories. Microprocessor (8085): architecture, programming, memory
and I/O interfacing.
Signals and Systems: Definitions and properties of Laplace transform continuous-time and discrete-time
Fourier series, continuous-time and discrete-time Fourier Transform, DFT and FFT, ztransform. Sampling
theorem. Linear Time-Invariant (LTI) Systems: definitions and properties; causality, stability, impulse
response, convolution, poles and zeros, parallel and cascade structure, frequency response, group delay, phase
delay. Signal transmission through LTI systems.
Control Systems: Basic control system components; block diagrammatic description, reduction of block
diagrams. Open loop and closed loop (feedback) systems and stability analysis of these systems. Signal flow
graphs and their use in determining transfer functions of systems; transient and steady state analysis of LTI
control systems and frequency response. Tools and techniques for LTI control system analysis: root loci,
Routh-Hurwitz criterion, Bode and Nyquist plots. Control system compensators: elements of lead and lag
compensation, elements of Proportional-Integral-Derivative (PID) control. State variable representation and
solution of state equation of LTI control systems.
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Communications: Random signals and noise: probability, random variables, probability density function,
autocorrelation, power spectral density. Analog communication systems: amplitude and angle modulation and
demodulation systems, spectral analysis of these operations, superheterodyne receivers; elements of hardware,
realizations of analog communication systems; signal-to-noise ratio (SNR) calculations for amplitude
modulation (AM) and frequency modulation (FM) for low noise conditions. Fundamentals of information
theory and channel capacity theorem. Digital communication systems: pulse code modulation (PCM),
differential pulse code modulation (DPCM), digital modulation schemes: amplitude, phase and frequency shift
keying schemes (ASK, PSK, FSK), matched filter receivers, bandwidth consideration and probability of error
calculations for these schemes. Basics of TDMA, FDMA and CDMA and GSM.
Electromagnetics: Elements of vector calculus: divergence and curl; Gauss' and Stokes' theorems, Maxwell's
equations: differential and integral forms. Wave equation, Poynting vector. Plane waves: propagation through
various media; reflection and refraction; phase and group velocity; skin depth. Transmission lines:
characteristic impedance; impedance transformation; Smith chart; impedance matching; S parameters, pulse
excitation. Waveguides: modes in rectangular waveguides; boundary conditions; cut-off frequencies;
dispersion relations. Basics of propagation in dielectric waveguide and optical fibers. Basics of Antennas:
Dipole antennas; radiation pattern; antenna gain.
================================================== ===========================
Environmental Management (EM)
EM - M.Tech. (Environmental Management / Environmental Geo-Informatics/Water and
Environmental Technology)
PART - 1
A. Ecology & Environment
1. Nature of ecosystems
2. Energy flow in ecosystems-energy fixation by Autotrophs -Energy beyond the producers
3. Biogeochemical cycles and ecosystems
4. Ecology of populations - population growth - age structure - equilibrium level
5. Dynamics of ecological communities.
B.Microbiology
1. Major characteristics of microorganisms - bacteria - Fungi, molds and yeasts - algae - protozoa - Viruses
2. Cultivation of microorganisms- aerobic and anaerobic cultivation, isolation, enumeration and
preservation of microorganisms.
3. Control of microorganisms - physical and chemical agents.
4. Microorganisms in aerobic & anaerobic biological waste treatment- major groups of microbes and their
role.
5. Microorganisms, growth kinetics- bacterial growth curve, various phases of growth, growth rate and
doubling time.
Part - II
A. Environmental Chemistry
1. Basic concepts and scope of environmental chemistry - Environmental Segments.
2. Atmosphere - Structure - Chemical and photo chemical reactions - and ozone chemistry - green house
effect.
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3. Hydrosphere - hydrologic cycle-chemistry of water and waste water.
4. Lithosphere - micro and macro nutrients - Wastes and pollution of soil, air and water.
5. Environmental effects of pollution - Health effects of pollution.
B. . Pollution Control Engineering.
1. Solid, Liquid and Gaseous Wastes, Various Pollutants and their Harmful effects.
2. Water quality, water purification systems.
3. Waste water characteristics, Primary / Secondary treatment methods.
4. Air Pollution control methods.
Part III :
A. Geospatial technology:
1. Origin and age of the earth, internal Constitution of the earth, Geological processes - Exegetic and
endogenic, ligneous, metamorphic and sedimentary rocks, distinguishing features of these three types
of rocks, basic principle of structural geology, geology of dams and reservoirs.
2. Geomorphic cycle, geomorphic agents, definition of weathering, types of weathering physical and
chemical, definition of erosion and denudation, cycle of erosion, landforms created by geomorphic
agents.
3. Map terminology: map reading, topographic map, conventional symbols, locating points, and map
projections and classification of maps.
4. Aerial photogrametry: Definition, photo scale, classification of Ariel photographs, Air photo
interpretation key elements, photo grammetric terminology.
5. Remote Sensing: Electromagnetic energy, Electromagnetic spectrum, various satellites and sensors,
latest advancements in satellite remote sensing, General knowledge on Indian remote sensing
Programmes.
B. Elementary Mathematics, Statistics and Computer Science
1. Solutions of simultaneous linear equations, quadratic equations, progressions, Perambulations and
combinations, concepts of matrices and determinants.
2. Sample mean and variance, random variable, distributed and continuous distributions, mean and
variance of distribution, correlation, coefficient, confidence intervals, goodness of fit, test, pairs of
measurements, fitting straight lines.
3. Introduction to computers and programming: components of computers, characteristics of computer,
modes of operation, type of computer algorithms, flowcharts, programming languages, operating
systems, fundamentals of C, structure of C, variables and constants, arithmetic and logical expression
PART IV.
A) Fundamentals of Surface hydrology
1. Hydrologic Cycle - Precipitation: Different types and forms of precipitation and their mechanism. Rain
gauges,
2. Evaporation and Transpiration: Concepts, measurements and factors affecting evaporation and
transpiration.
3. Infiltration - Concept, measurement and factors affecting infiltration,
4. runoff, Definition and factors affecting runoff, stream gauging - computation of run-off.
B) Fundamentals of Ground water hydrology
5. Occurrence of ground water in consolidated and unconsolidated formations - Types of aquifers.
Properties: Porosity, Specific Yield, Storativity, Hydraulic conductivity and transmissivity - Darcy’s
Law,
6. Ground Water management – artificial recharging methods. Types of wells, Open wells, Tube wells,
Construction of wells.
7. National water Resources Problems with reference to the environment of major river valley projects
================================================== =====================
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Geo Engineering & Geo Informatics (GG)
Engineering Mathematics
Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.
Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value theorems,
Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima,
Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals,
Stokes, Gauss and Green's theorems.
Complex variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series.
Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean,
median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.
Geo-Engineering
Continents. Earth composition. Earth - Orbit,
Oceans - Depth, Bottom, Relief
Rocks, Kinds of rocks, minerals & physical properties of mineral
Surveying methods: Topographic surveying, Theodolite applications, topographic sheets, aerial photo formats
Maps: map projections, cartography
Physical principles of remote sensing, electromagnetic spectrum
GIS concepts and applications
Study of rain fall, estimation of run-off and evapotranspiration, water table
Environment - meaning, scope, components Environments.
Soils-texture, strengths, porosity and permeability
Programming in c: variables, data types, expressions, control structures, arrays, functions, pointers, structures.
================================================== ==========================
Instrumentation Engineering (EI)
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.
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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.
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 Digitalto-
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. Fourier transform, Laplace transform, Z-transform,
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
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grounding.
Control Systems and Process Control: Feedback principles. Signal flow graphs. Transient Response, steadystate-
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, PI, PID, 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, photoresistor
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.
================================================== ==========================
Mechanical Engineering (ME)
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,
Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima,
Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals,
Stokes, Gauss and Green's theorems.
Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations
with constant coefficients, Cauchy's and Euler's equations, Initial and boundary value problems, Laplace
transforms, Solutions of one dimensional heat and wave equations and Laplace equation.
Complex variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series.
Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean,
median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.
Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by
trapezoidal and Simpson's rule, single and multi-step methods for differential equations.
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, including impulse and momentum (linear and
angular) and energy formulations; impact.
Strength of Materials: Stress and strain, stress-strain relationship and elastic constants, Mohr's circle for
plane stress and plane strain, thin cylinders; shear force and bending moment diagrams; bending and shear
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stresses; deflection of beams; torsion of circular shafts; Euler's theory of columns; strain energy methods;
thermal stresses.
Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms; dynamic
analysis of slider-crank mechanism; gear trains; flywheels.
Vibrations: Free and forced vibration of single degree of freedom systems; effect of damping; vibration
isolation; resonance, critical speeds of shafts.
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, spur gears,
rolling and sliding contact bearings, brakes and clutches. Fluid Mechanics and Thermal Sciences
Fluid Mechanics: Fluid properties; fluid statics, manometry, buoyancy; control-volume analysis of mass,
momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli's
equation; viscous flow of incompressible fluids; boundary layer; elementary turbulent flow; flow through
pipes, head losses in pipes, bends etc.
Heat-Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept, electrical
analogy, unsteady heat conduction, fins; dimensionless parameters in free and forced convective heat transfer,
various correlations for heat transfer in flow over flat plates and through pipes; thermal boundary layer; effect
of turbulence; radiative heat transfer, black and grey surfaces, shape factors, network analysis; heat exchanger
performance, LMTD and NTU methods.
Thermodynamics: Zeroth, First and Second laws of thermodynamics; thermodynamic system and processes;
Carnot cycle. Irreversibility and availability; behaviour of ideal and real gases, properties of pure substances,
calculation of work and heat in ideal processes; analysis of thermodynamic cycles related to energy
conversion.
Applications: Power Engineering: Steam Tables, Rankine, Brayton cycles with regeneration and reheat. I.C.
Engines: air-standard Otto, Diesel cycles. Refrigeration and air-conditioning: Vapour refrigeration cycle, heat
pumps, gas refrigeration, Reverse Brayton cycle; moist air: psychrometric chart, basic psychrometric
processes. Turbomachinery: Peltonwheel, Francis and Kaplan turbines - impulse and reaction principles,
velocity diagrams.
Manufacturing and Industrial Engineering
Engineering Materials: Structure and properties of engineering materials, heat treatment, stress- strain
diagrams for engineering materials.
Metal Casting: Design of patterns, moulds and cores; solidification and cooling; riser and gating design,
design considerations.
Forming: 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
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forming processes; principles of powder metallurgy.
Joining: Physics of welding, brazing and soldering; adhesive bonding; design considerations in welding.
Machining and Machine Tool Operations: Mechanics of machining, 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, principles of 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 and probabilistic models; safety stock inventory control systems.
Operations Research: Linear programming, simplex and duplex method, transportation, assignment, network
flow models, simple queuing models, PERT and CPM.
Metallurgy (MT)
Engineering Mathematics
Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and Eigen vectors.
Calculus: Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and
series; Test for convergence; Fourier series.
Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and
Green's theorems.
Diferential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant
coefficients; Cauchy's and Euler's equations; Laplace transforms; PDEs - Laplace, heat and wave equations.
Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal
and binomial distributions; Correlation and regression analysis.
Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and
Simpson's rule; single and multi-step methods for differential equations.
Metallurgical Engineering
Thermodynamics and Rate Processes: Laws of thermodynamics, activity, equilibrium constant, applications
to metallurgical systems, solutions, phase equilibria, Ellingham and phase stability diagrams, thermodynamics
of surfaces, interfaces and defects, adsorption and segregation; basic kinetic laws, order of reactions, rate
constants and rate limiting steps; principles of electro chemistry- single electrode potential, electro-chemical
cells and polarizations, aqueous corrosion and protection of metals, oxidation and high temperature corrosion -
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characterization and control; heat transfer - conduction, convection and heat transfer coefficient relations,
radiation, mass transfer - diffusion and Fick's laws, mass transfer coefficients; momentum transfer - concepts
of viscosity, shell balances, Bernoulli's equation, friction factors.
Extractive Metallurgy: Minerals of economic importance, comminution techniques, size classification,
Flotation, gravity and other methods of mineral processing; agglomeration, pyro- hydro- and electrometallurgical
processes; material and energy balances; principles and processes for the extraction of nonferrous
metals - aluminium, copper, zinc, lead, magnesium, nickel, titanium and other rare metals; iron and
steel making - principles, role structure and properties of slags, metallurgical coke, blast furnace, direct
reduction processes, primary and secondary steel making, ladle metallurgy operations including deoxidation,
desulphurization, sulphide shape control, inert gas rinsing and vacuum reactors; secondary refining processes
including AOD, VAD, VOD, VAR and ESR; ingot and continuous casting; stainless steel making, furnaces
and refractories.
Physical Metallurgy: Crystal structure and bonding characteristics of metals, alloys, ceramics and polymers,
structure of surfaces and interfaces, nano-crystalline and amorphous structures; solid solutions; solidification;
phase transformation and binary phase diagrams; principles of heat treatment of steels, cast iron and aluminum
alloys; surface treatments; recovery, recrystallization and grain growth; industrially important ferrous and nonferrous
alloys; elements of X-ray and electron diffraction; principles of scanning and transmission electron
microscopy; industrial ceramics, polymers and composites; electronic basis of thermal, optical, electrical and
magnetic properties of materials; electronic and optoelectronic materials.
Mechanical Metallurgy: Elasticity, yield criteria and plasticity; defects in crystals; elements of dislocation
theory - types of dislocations, slip and twinning, source and multiplication of dislocations, stress fields around
dislocations, partial dislocations, dislocation interactions and reactions; strengthening mechanisms; tensile,
fatigue and creep behaviour; super-plasticity; fracture - Griffith theory, basic concepts of linear elastic and
elasto-plastic fracture mechanics, ductile to brittle transition, fracture toughness; failure analysis; mechanical
testing - tension, compression, torsion, hardness, impact, creep, fatigue, fracture toughness and formability.
Manufacturing Processes: Metal casting - patterns and moulds including mould design involving feeding,
gating and risering, melting, casting practices in sand casting, permanent mould casting, investment casting
and shell moulding, casting defects and repair; hot, warm and cold working of metals, Metal forming -
fundamentals of metal forming processes of rolling, forging, extrusion, wire drawing and sheet metal forming,
defects in forming; Metal joining - soldering, brazing and welding, common welding processes of shielded
metal arc welding, gas metal arc welding, gas tungsten arc welding and submerged arc welding; welding
metallurgy, problems associated with welding of steels and aluminium alloys, defects in welded joints; powder
metallurgy; NDT using dye-penetrant, ultrasonic, radiography, eddy current, acoustic emission and magnetic
particle methods.
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Nano Technology (NT)
Engineering Mechanics & Strength of Material
Concurrent forces in a plane and its equilibrium. Centroids of composite plane figures. General case of forces in
a plane. Moment of inertia of plane figures. Parallel axis theorem. Polar MI. Concept mass MI. Rectilinear
translation. Kinematics. Principal of dynamics Motion of a particle under constant force. Force proportional to
displacement and free vibrations (SHM). D’ Albert’s principle. Momentum. Impulse work and energy. Rotation
of a rigid body about a fixed axis kinematics. Equation of motion of a rigid body about a fixed axis.
Rotation under constant moment. Torsional vib ratio n. Simple stresses and strains. Stresses on inclined plane.
2 -Dimension al stress systems. Principal stress and principal planes. Mohr’s circle. Shearing force and
bending moment. Types of loads. Types of Supports. SF and BM diagrams for formula. Bending stresses in the
above types of beams with rectangular and circulars sections. Torsion of circular shafts. Determination of shear
stress.
Fluid Mechanics and Heat transfer
Classification of flows - Steady, Unsteady, Uniform, Non-uniform, Laminar, Turbulent, Rotational, Irrotational
flows, Vorticity, and circulation-Conservation of mass-Equation of continuity, Conservation of momentum-
Euler’s equation, Conservation of energy - Bernoulli’s equation and its applications. One-dimensional
Viscous flow. Couette flow- Plane couetee flow. Two dimensional Viscous Flow; Navier stokes equations and
solutions. Laminar Boundary Layer. Momentum integral equation-Flow over a flat plate-Displacement
thickness, Momentum thickness and energy thickness. Turbulent Boundary Layer. Laminar-Turbulent
transition-momentum equations and Reynold’s stresses. Dimensional Analysis and Modeling Similitude.
Fundamental and derived dimensions - Dimensionless groups - Buckingham Theorem - Rayleigh method .
Elements of heat transmission. steady state conduction, convection and radiation. Furnaces. Classification o f
furnaces and their use in metallurgical industries. Heat utilization in furnaces, available heat, factors affecting it.
Heat losses in furnaces and furnace efficiency. Heat balance and sankey diagrams. Principles of waste heat
recovery. Recuperators and regenerators. Types and applicability. AMTD and LMTD in recuperators.
Protective atmosphere and their applications Salt bath furnaces.
Elements of Materials Science
Introduction, classification of materials, Space lattice and unit cells, crystal systems. Indices for planes
and directions. Structures of common metallic materials. Crystal defects: point, Line and surface defects.
Dislocations, types, Burgers’ Vector, Dislocation movement by climb and cross slip. Dislocation sources,
Dislocation point - defect interaction and pileups. Plastic deformation of single crystals. Deformation b y slip ,
CRSS for slip. Deformation of single crystal. Deformation b y twinning. Stacking faults, Ho t working, cold
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working. Recovery, recrystallization and grain growth. Hall- Petch equation. Tensile stress- strain diagrams,
proof stress, yield stress, modulus of elasticity. Typical stress-strain diagrams for mild steel cast iron and
aluminum alloy.
Metallurgical Thermodynamics
Introduction - Basic concepts in thermodynamics. Objectives and limitations of classical thermodynamics.
Zeroth law of thermodynamics
* First Law of Thermodynamics - Forms of Energy, Heat and Work, Joules Experiments, Conservation
o f Energy, Concept of Maximum Work, Isothermal Expansion, Reversible, Adiabatic Expansion, Constant
Pressure Processes, Constant Volume Processes, Enthalpy.
* Second Law of Thermodynamics -Efficiency of cyclic process. Carnot cycle.
* Entropy. Thermodynamic equation of state. Statistical Entropy
* Physical Meaning of Entropy, Boltzman Equation, Mixing Entropy, Stirling’s Approximation Auxiliary
Functions
* Fundamental Equations of State, Max well Relationships, Other Thermodynamic Relations, Chemical
Potential, Gibbs-Helmholtz Equation, Criteria of Equilibria.
* Third law of Thermodynamics
* Heat Capacity and Entropy Changes.
* Sensible Heats, Transformation Heats, Reaction Heats, Adiabatic Flame Temperatures, Heat Balances.
* Phase Equilibria in One Component Systems
* Clausius-Claperyon Equation, Heats of Vaporization Fro m Vapor Pressure Data, Shift in Transformation
* Temperature with Pressure
* Fugacity, activity and equilibrium constant. Vant Hoff’s isotherm. Ellingham diagrams and application.
Electrical and Electronic properties of materials, Electronic conductivity, free electron theory and band theory o
f solids. Intrinsic semi-conductors. Super conductivity. Magnetic properties, Dia, para, ferro, ferri magnetism.
Soft and hard magnetic materials and applications. Optical properties of materials. Refractive index, absorption
emission of light, optical fibers. Opto-electronic materials. Polymerization, cross linking glass transition,
classification of polymers. Mechanical properties, dielectric behaviour of materials. Uses of polymers.
Ceramics and glasses, crystalline and non-crystalline ceramics. Structure of ceramics and glasses. Major
mechanical and optical properties. Composite materials. Classification. Matrices and reinforcements.
Fabrication methods. Examples and applications. Nano Materials: Importance, Emergence of Nano-
Technology, Bottom-Up and Top-down app roaches, challenges in Nano- Technology. Applications.
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PGECET-2013
26
Pharmacy (PY)
Pharmacognosy & Phytochemistry: Chemistry of natural products, tests, isolation, purification &
characterization and estimation of phytopharmaceuticals belonging to the group of Alkaloids, Glycosides,
Terpenoids, Steroids, Bioflavanoids, Purines, lipids, proteins. Pharmacognosy of crude drugs and herbal
products. Standardization of raw materials. Modern techniques used for evaluation.
Pharmaceutical Chemistry: Structure, nomenclature, classification, synthesis, SAR and metabolism of the
following cate gory of drugs, which are official in Indian Pharmacopoeia and British Pharmacopoeia .
Introduction to drug design. Stereochemistry of drug molecules. Hypnotics and Sedatives, Analgesics,
NSAIDS, Neuroleptics, Antidepressants, Anxiolytics, Anticonvulsants, Antihistaminics, Local Anaesthetics,
Cardio Vascular drugs - Antianginal agents Vasodilators, Adrenergic & Cholinergic drugs, Cardiotonic agents,
Diuretics, Antijypertensive drugs, Hypoglycemic agents, Antilipedmic agents, Coagulants, Anticoagulants,
Antlplatelet agents. Chemotherapeutic agents - Antibiotics, Antibacterials, Sulphadrugs. Antiproliozoal drugs,
Antiviral, Antitubercular, Antimalarial, Anticancer, Antiamoebic drugs. Diagnostic agents..
Pharmaceutics:
Formulation, Development and Storage of different dosage forms and new drug delivery systems.
Biopharmaceutics and Pharmacokinetics and their importance in Pharmaceutical calculations. Study of
physical properties of drugs: Particle size and shape, pKa, solubility, partition coefficient, crystallinity,
polymorphism and hygroscopicity. Study of chemical properties of drugs: Hydrolysis, oxidation, reduction,
recimization, polymerization and their influence on formulation and stability of drug products.
Pharmacology General pharmacological principles including Toxicology. Drug interaction and Pharmacology
of drugs acting on Central nervous system, Cardiovascular system, Autonomic nervous system, Gastro intestinal
system and Respiratory System Pharmacology of Autocoids, chemotherapeutic agents including anticancer
drugs, Bioassays, Immuno Pharmacology. Drugs acting on the blood & blood forming organs. Clinical
Pharmacy Therapeutic Drug Monitoring Dosage regimen in Renal and hepatitic impairment. Drug - Drug
interactions and Drug -food interactions, Adverse Drug reactions. Medication History, interview and Patient
counseling
Pharmaceutical Analysis and quality assurance:
Concepts of qualitative and quantitative analysis, fundamentals of volumetric analysis, methods-of expressing
concentration, primary and secondary standards; concept of error, precision, accuracy, specificity, sensitivity,
detection limit, linearity and range. Ruggedness, standards, standardization, calibration of analytical
equipments. Principles, instrumentation and applications of the following: Absorption spectroscopy (UV,
visible &IR). Fluorimetry, Flame photometry, Potentiometry. Conductometry and Plarography.
Pharmacopoeial as says and chromatography methods. Quality assurance and quality control methods,
concepts of GMP and GLP and forensic pharmacy.
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 Tags Entrance Exam, PGCET