MPPSC Mains Electrical Engineering Syllabus, MPPSC Mains Complete syllabus, Download MPPSC Electrical engineering syllabus

Madhya-Pradesh P.S.C. Examinations

MPPSC Mains Syllabus

MPPSC Mains Electrical Engineering Syllabus

Electrical Engineering (Code No. 10) Paper - I

1. Circuit theory

• Circuit Components, Network graphs, KCL, KVL, Circuit analysis methods: Nodal analysis, mesh analysis, basic network theorems; transient analysis : RL, RC and RLC Circuits; sinusoidal steady state analysis, resonance, Quality factor, balanced three phase circuit analysis. Frequency domain analysis Laplace's transform, Fourier series (trigonometric & exponential). two port networks and their various parameters; Poles and Zeros driving point & transfer function. Passive filter design theory.

2. Electro Magnetic field Theory and Materials

• Electrostatic and Magneto static field Laplace's and Poisson's equations, Boundary value problems and solutions; Maxwell's equation, Electromagnetic wave propagation : Reflection and refraction of plane waves. Poynting vector, wave propagation through dielectrics and conductors. Electrical/electronic behaviour of materials : conductivity; free-electrons and band-theory; intrinsic and extrinsic semi-conductor, p-n junction; solar cells, super-conductivity. Dielectric behaviour of materials : polarization phenomena; piezoelectric phenomena. Magnetic material:, superconductivity.

3. Measurement and Instrumentation

• Error analysis, Measurement of current, voltage, power, energy, power factor, resistance, inductance, capacitance and frequency Analysis of Bridges. Electronic measuring instruments: Multimeter, CRO, digital volt meter, frequency counter, Q-meter. transducers, measurements of non-electrical quantities by electrical methods, measurement of displacement, temperature, velocity, pressure, Signal conditioning, Date acquisition system.

4. Analog and Digital Electronics

• Characteristics and equivalent Circuits (for small & large signals) of Diode, BJT, JFET & MOSFET Clipping, clamping and rectifier circuits, Biasing and bias stability. Amplifiers : single and multi-stage, differential,operational, feedback & power. Analysis of amplifiers; frequency-response of amplifiers. OPAMP circuits. Filters; sinusoidal oscillators : criterion for oscillation; single-transistor & OP-AMP configurations. Function generators & wave-shaping circuits. Power supplies. Boolean Algebra, Boolean function minimization. Logic gates, Combinatorial Circuits : arithmetic circuits, code converters. multiplexers & decoders, sequential circuit : latches & flip flops, Counters, Shift registers, Comparators, timers, multivibrators, Sample and hold circuits, ADCs and DACs. Semiconductor memories, logic implementation using programmable devices (ROM, PLA etc.)

5. Power Electronics

• Semiconductor power devices: diode, transistor, SCR, triac, GTO, MOSFET & IGBT, triggering circuits. Phase Control rectifiers. bridge converters : fully Controlled and half Controlled, principles of choppers and inverters.

6. Signals and Systems

• Representation and continuous time and discrete time signals and systems; Linear ime Invariant systems; Convolution, impulse response; time domain analysis of LTI systems based on convolution and differential equations, Fourier transform, Laplace transform, Z transform, transferfunction, sampling of signals, DFT, FFT, processing of analog signals through discrete time systems.

Electrical Engineering (Code No. 10) Paper - II

PART -I

1. Control System

• Fundamental of control systems, block diagram algebra, Signal flow graph and Mason's gain formulae, Linear Time Invariant Systems; Time domain and frequency response. Proportional, PI and PID Control strategies. Stability analysis; Routh Hurwitz Criterion, Nyquist criterion, Design of lead-lag compensators. State Space models, Controllability and observability. Principles of discrete Control systems.

2. Microprocessors and Microcomputers

• 8 bit microprocessor 8085 : Architecture, CPU, module design, memory interfacing and I/O, interrupts, PPI 8255.

PART -II  Heavy Currents

1. Electromechanical energy Conversion

• Principles of electromechanical energy conversion, Torque & emf in rotating machines, characteristics and performance analysis of DC machines and their starting and speed control. Transformers: Principles of operation and analysis, regulation, Three phase transformer,3-phase induction machines, & sychronous machines:Their characteristics and performance analysis, speed control. Special machines : Stepper motors, Brushless DC motors, switched reluctance motors, permanent magnet motors, Single phased induction motor (FHP motors) : Performance and analysis;

2. Industrial Drives & Utilization

• Basic Concepts of speed control of dc and ac motor drives. Applications of Variable speed drives V/f control, Quadrant operation of drives, Concept of Cycloconverts & Dual Converts fed AC & DC drive. Rating & characteristic of traction motors, dielectric & induction heating.

3. Power Systems Analysis and control

• Performance evaluation of overhead transmission lines and cables, fundamentals of active and reactive power transfer, voltage control and power factor correction, per unit representation, Bus admittance and impedance matrices, Load flow study, Economic operation of power system, Symmetrical components, Analysis of symmetrical and unsymmetrical faults, concept of stability, swing curve and equal area criterion, static VAR systems, basic concepts of HVDC transmission, series & shunt compensation, FACTS. speed control of generators, tie line control and frequency control.

4. Switch gear and protection

• Principle of over current, differential and distance protection, concept of solid state relays and circuit brakers various protection scheme for transmission lines, generator and transformer.Protection against surges.

PART - III  Light Current

1. Analog communication

• Random variables - continuous, discrete, probability density functions, statistical averages, random signals, and noise, noise equivalent bandwidth, signal transmission with noise, signal to noise ratio, amplitude modulation, DSB, DSB-SC and SSB, modulators and demodulator, phase and frequency modulation, PM and FM signals, narrow-band FM, generation and detection of FM and PM.

2. Digital communication

• Pulse code modulation (PCM), differential pulse code modulation (DPCM), Delta modulation (DM), Digital modulation and demodulation schemes : Amplitude phase and frequency, keying schemes, (ASK, PSK, FSK), Error control coding, error detection and correction, linear block codes, convolution codes.

3. Satellite Communication, Radar and TV

• Satellite communication, general overview and technical characteristics earth station equipments, satellite link design, CNR of satellite systems, Radar : basic principles, pulsed systems : CW Doppler radar, FMCW radar, Phase array radar, television systems and standards, colour TV transmission and receiver systems.

4. Microwaves & Antenna

• Electromagnetic radiation, Propagation of waves - ground waves, sky wave, space wave, tropospheric scatter propagation. Extraterrestrial communications. Antenna : Various types, gain, resistance, bandwidth, beam width and polarization, effect of ground. Antenna coupling; high frequency antennas; microwave antennas; special purpose antennas. Microwave Services : Klystron, magnetron, TWT, gun diodes, Impatt, Bipolar and FETs, Microwave integrated circuits. Microwave measurements.

5. Fiber Optic Systems

• Multiplexing - Time division multiplexing, frequency division multiplexing, optical properties of materials, refractive index absorption and emission of light, optical fibers lasers and optoelectronic materials, fiber optic links.

Read More

Madhya-Pradesh P.S.C. Examination MPPSC Mains Statistics Syllabus

Madhya-Pradesh P.S.C. Examination

MPPSC Mains Syllabus

MPPSC Mains Statistics Syllabus

Statistics ( Code No. 08 ) Paper – I

PART - I

1. Descriptive Statistics

• Types of data - Concepts of a Statistical population and sample from a population ; qualitative and quantitative data ; nominal and ordinal data ; cross sectional and time series data; discrete and continuous data; frequency and non-frequency data. different types of scales –nominal, ordinal , ratio and interval. Collection and Scrutiny of data ;Primary data – designing a questionnaire and a schedule; checking their consistency. Secondary data – its major sources including some government publications. Complete enumeration, controlled experiments, observational studies and sample survery. Scrutiny of data for internal consistency and detection of errors of recording. Ideas of cross- validation. Presentation of Data ; construction of tables with one or more factors of classification. Diagrammatic and graphical representation of grouped data. Frequency distributions, cumulative frequency distributions and their graphical representation, histogram, frequency polygon and ogives. Stem and leaf chart. Box plot. Analysis of Quantitative Data; Univariate data- Concepts of central tendency, dispersion and relative dispersion, skewness and kurtosis and their measures Sheppard's corrections for moments for grouped data (without derivations). Bivariate Data ; Scatter diagram. Product moment correlation coefficient and its properties. coefficient of determination. Correlation ratio. Concepts of error in regression. Principle of least squares. Fitting of linear regression and related results. fitting of curves reducible to polynomials by transformation. Rank correlation - Spearman's and Kendall's measures. Multivariate data; Multiple regression, multiple correlation and partial correlation in three variables, their measures and related results. Analysis of Categorical Data; Consistency of categorical data. Independence and association of attributes. Various measures of association for two-way and three-way classified data.

2. Probability Theory

• Important Concepts in Probability - Definition of probability – classical and relative frequency approach to probability, Richard von Mises, Cramer and Kolmogorov's approaches to probability, merits and demerits of these approaches . Random Experiment : Trial, sample point and sample space, definition of an event, operation of events, mutually exclusive and exhaustive events. Discrete sample space, properties of probability based on axiomatic approach, conditional probability, independence of events, Bayes theorem and its applications. Random Variables ; Definition of discrete random variables, probability mass function, idea of continuous random variable and its properties – moments, measures of location , dispersion, skewness and kurtosis, moment generating function, their properties and uses. Standard univariate discrete distributions and their properties : Discrete Uniform, Binomial, Poisson, Hypergeometric, Negative Binomial and Geometric distributions. Continuous univariate distributions- Uniform, normal , Cauchy, Laplace, Exponential, Chi-square, Gamma and Beta distributions.Bivariate normal distribution ( including marginal & conditional distributions) Chebyshev's inequality and applications, Statements and applications of weak law of large numbers and central limit theorems ( Lindeberg Leby, Liaponouv and De-Moiver's )

PART - II

1. Statistical Methods

• Sampling from a distribution ; Definition of a random sample, simulating random sample from standard distributions (Uniform, Exponential & Normal) . Concept of derived distribtutions of functions of random variables. Concept of a statistic and its sampling distribution . Point estimate of a parameter, Concept of bias and standard error of an estimate, Standard errors of sample mean & sample proportion, Sampling distributions of sum of binomial and Poisson distributions. Sampling distribution of mean of normal distribution. Independence of sample mean and variance in random sampling from a normal distribution ( without derivation ), 
• Statistical Tests and interval Estimation ; Null and alternative hypotheses, Types of errors, p-values . Statement of chi-square, t, and F statistics. Testing for the mean and variance of univariate normal distribution, testing of equality of two means and testing of equality of two variances of two univariate normal distributions. Related confidence intervals. Testing for the significance of sample correlation coefficient in sampling from bivariate normal distribution and for the equality of means and equality of variances in sampling from bivariate normal distribution. Large sample tests. Use of central limit theorem for testing and its applications to interval estimation of a single mean, a single proportion, difference of two means and two proportions. Fisher's Z-transformation and its uses .Pearson's chi-square test for goodness of fit. Contingency table and test of independence in a contingency table. Definition of order statistics and their distributions ( Without derivations ), Nonparametric tests; Sign test for univariate and bivariate distributions, Wilcoxon-Mann-Whitney test, Run test, Median test, and Spearman's rank correlation coefficient test.

Statistics (Code No. 08) Paper - II

PART - I

1. Sample Surveys

• Sample Surveys. Concepts of population and sample., need for sampling. Census and sample survey, basic concepts in sampling ,organizational aspects of survey sampling, sample selection and sample size . Some basic sampling methods- simple random sampling (SRS) with and without replacement. Stratified random sampling. systematic sampling, ratio and regression methods of estimation under SRS. Non sampling errors, acquaintance with the working (questionnaires, sampling design, methods followed in field investigation, principal findings etc.) of NSSO, and other agencies undertaking sample surveys.

2. Design of Experiments

• Analysis of variance for one way and two-way classifications ( with one observation per cell ) . Need for design of experiments, fundamental principles of design, basic designs – C.R.D., R.B.D. ,L.S.D. and their analysis. Factorial designs – 2n ( n £ 4 ) designs, illustrations, main effects and interaction effects and confounding in 23 design.

PART - II

1. Measurement of mortality and life table

• Crude death rate, infant mortality rates, death rate by casuse, standardized death rate, complete life table-its main features, mortality rate and probability of dying, use of survival tables. Measurement of fertility : crude birth rate, general fertility rate, total fertility rate, gross reproduction rate, net reproduction rate.

2. Economic Statistics

• Index number-its definition, applications of index numbers, price relatives and quantity or volume relatives of index numbers, use of averages, simple aggregative and weighted aggregative methods, Laspeyre's Paache's and Fisher's index numbers, time and factor reversal tests of index numbers. Consumer Price Index.

3. Time Series Analysis

• Economic time series, its different components. Illustrations , additive and multiplicative models, detemination of trend, growth curves, analysis of seasonal fluctuations, construction of seasonal indices.

4. Statistical Quality Control

• Importance of statistical methods in industrial research and practice,specification of items and lot qualities corresponding to visual gauging,count and measurements, types of inspection, determination of tolerance limits. General theory of control charts, causes of variation in quality, control limits, sub-grouping, summary of out-of control criteria, charts for attributes, np-chart, p-chart, c-chart, U-chart. Charts for variables ; `X and R charts, design of `X and R Charts versus p-charts, process capability studies. Principle of acceptance sampling - problems of lot acceptance, stipulation of good and bad lots, producer's and consumers risks, single and double sampling plans, their OC functions, concepts of AQL, LTPD, AOQL, average amount of inspection and ASN functions, rectifying inspection plans, Sampling inspection plans, Indian Standards Tables Part I ( including applications ).

Read More