ISRO syllabus, ISRO syllabus for Electronics 

isro recruitment syllabus

Network Theory


Network analysis techniques.
Network theorems.
Transient response:-Steady-state sinusoidal response.
Network graphs and their applications in network analysis.
Tellegen's theorem. 
Two-port networks:- Z, Y, h, and transmission parameters. Combination of two ports, analysis of common two ports. 
Network functions:-parts of network functions, obtaining a network function from a given part. 
Transmission criteria:-delay and rise time, Elmore's and other definitions effect of cascading. Elements of network synthesis. 

Analog Electronic Circuits

Transistor biasing and stabilization. 
Small signal analysis. 
Power amplifiers. 
Frequency response. Wide banding techniques. 
Feedback amplifiers. Tuned amplifiers. Oscillators, Rectifiers and power supplies. 
Op Amp, PLL, other linear integrated circuits, and applications. 
Pulse shaping circuits and waveform generators. 

 Digital Electronic Circuits

Boolean algebra, simplification of a Boolean function.
The transistor as a switching element.
Karnaugh map and applications.
IC Logic gates and their characteristics.
IC logic families:-DTL, TTL, ECL, NMOS, PMOS and CMOS gates, and their comparison.
Combinational logic circuits-Half adder, Full adder. 
Digital comparator.
Multiplexer De-multiplexer.
ROM and their applications. 
Flip-flops:- R-S, J-K, D and T flip-tops
Different types of counters and registers. Waveform generators. 
A/D and D/A converters. Semi-conductor memories.  

Physical Electronics, Electron Devices, and ICs

Electrons and holes in semiconductors, Carner Statistics, Mechanism of current flow in a semiconductor, Hall effect, Power switching devices like SCRs, GTOs, power MOSFETs, Basics of ICs-bipolar, MOS and CMOS types, basic and OptoElectronics. Junction theory, Different types of diodes and their characteristics, Bipolar Junction transistor, Field effect transistors.

Signals and Systems

Classification of signals and systems. 
System modeling in terms of differential and difference equations.
State variable representation.
Fourier series; Fourier transforms and their application to system analysis.
Laplace transforms and their application to system analysis.
Convolution and superposition integrals and their applications.
Z-transforms and their applications to the analysis and characterization of discrete-time systems.
Random signals and probability. 
Correlation functions.
Spectral density.
The response of the linear system to random inputs.

Control Systems 

Transient and steady-state response of control systems; Effect of feedback on stability and sensitivity; Root locus techniques; Frequency response analysis. Concepts of gain and phase margins; Constant-M and Constant-N Nichol's Chart; Approximation of transient response from Constant-N Nichol's Chart; Approximation of transient response from closed-loop frequency response; Design of Control Systems; Compensators; Industrial controllers. 

Communication Systems

Basic information theory. Modulation and detection in analog and digital systems. Sampling and data reconstructions. Quantization and coding. Time-division and frequency division multiplexing. Equalization, 
Optical Communication:-in free space and fiber optic.
Propagation of signals at HF, VHF, UHF and microwave frequency.
Satellite Communication. 

Microwave Engineering 

Microwave Tubes and solid-state devices, Microwave generation and amplifiers, Waveguides and other Microwave Components and Circuits, Microstrip circuits, Microwave Antennas, Microwave Measurements, Masers, Lasers; Micro-wave propagation. Microwave Communication Systems-terrestrial and satellite-based. 


 Computer Engineering
Number Systems. 
Data representation; Programming.
Elements of a high-level programming language PASCAL/C.
Use of basic data structures. 
Fundamentals of computer architecture; Processor design, Control unit design, Memory organization, I/o System Organization. 

Microprocessors
Architecture and instruction set of Microprocessor's 8085 and 8086, Assembly language Programming. Microprocessor-Based system design, typical examples. Personal computers and their typical uses.

Electromagnetic Theory

Analysis of electrostatic and magnetostatic fields. 
Laplace's and Poisson's equations; Boundary value problems and their solutions. Maxwell's equations, application to wave propagation in bounded and unbounded media, 

Transmission lines: basic theory, standing waves, matching applications, microstrip lines; Basics of waveguides and resonators; Elements of antenna theory. 


Engineering Mathematics

Linear Algebra- Vector space, matrix algebra operation, calculation of eigenvalues and eigenvectors, rank, a solution of linear equations – consistency or not

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 a variety 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 variance, and standard deviation, combinatorial probability


Probability distribution functions – Binomial, and Poisson Equation, exponential and normal, Joint and conditional probability, Correlation and regression analysis.