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Curriculum of B. Sc. in EEE

Introduction to language and writing skills, Anatomy of sentences, Types of sentences, Tense, Use of verbs, Nouns, Pronouns,  Punctuation; Paragraphing, Reading comprehension, Developing a good speaking style.

Credits: 3.00

Prerequisite: none

Suggested References:

  1. Understanding and using English Grammar- By Betty Schrampfer Azar
  2. Intermediate English Grammar- By Raymond and Murphy
  3. The Good Grammar Book-By Michael & Catherine Walter
  4. Oxford Practice Grammar-By John Eastwood
  5. Writing Effective Paragraphs- By M. Shahidullah

Voice, Prepositions, Use of modifiers and connectives, Correct and effective expression; Writing brief expository essays, Principles of common expository writing.

Credits: 3.00

Prerequisite: ENG 101

Suggested References:

  1. Understanding and using English Grammar- By Betty Schrampfer Azar
  2. Intermediate English Grammar- By Raymond and Murphy
  3. The Good Grammar Book-By Michael & Catherine Walter
  4. Oxford Practice Grammar-By John Eastwood
  5. Writing Effective Paragraphs- By M. Shahidullah
  6. From Paragraph to Essay- By Imhoof, M

Co-ordinate Geometry:
Two-dimensional geometry: Set of coordinates for a plane, straight line in a plane. Increments, distance of two lines, slope of a line, tangent and normal on a curve, pair of straight lines, basic properties of Circle, Parabola, Ellipse and Hyperbola. Change of coordinates and axes, invariant. General equation of second degree, Reduction of general equation of second degree to standard form and identification of Conic. Polar and parametric equations of conic., poles, polars, chords in terms of middle points, director circle, eccentric angles and conjugate diameters of conic. Coordinates in three dimensions: Different systems of coordinates and transformations of coordinates, direction cosine, direction ratios, planes and straight lines in three dimensions, general equation of second degree in three variables, reduction to standard forms and identification of conicoids, sphere, cylinder, cone, ellipsoid, paraboloid and hyperboloid.

Linear Algebra:
System of Linear Equations, Matrix: Introduction to matrices, addition and multiplication of matrices, determinant of matrix, H. sc. typs adjoint and inverse of a matrix, elementary row operations and echelon forms of matrix, rank, row rank, column rank of a matrix and their equivalence, use of rank and echelon form in solving system of homogeneous and non-homogeneous equations. Vector space and subspace over real numbers and direct sum, linear combination, linear dependence and independence of vectors, basis and dimension of vector space, quotient space and isomorphism theorems. Linear transformations, kernel, rank and nullity, matrix representation, change of basis, eigenvalues and eigenvectors, characteristic equations and Caley-Hamilton theorem, diagonalization of matrices, similar matrices, canonical forms. Orthogonal and Hermitian matrices, inner product, orthogonal vectors and orthonormal basis, Gram-Schmidt orthogonalization process, bilinear and quadratic forms.

Credits: 3.00

Suggested References:

  1. Smith, C.: The Analytical Geometry of Conic Sections
  2. F. M. Abdur Rahman and P. K. Bhattacharjees : A Text Book on Coordinate Geometry (Two and Three Dimensions) with Vector Analysis
  3. Robert J T Bell: An Elementary Treatise on Coordinate Geometry of Three Dimensions (Fourth Edition)
  4. Hamilton, A. G.: Linear Algebra
  5. Anton, H. and Rorres, C. Elementary Linear algebra with Applications.
  6. Kolman, B.: Elementary Linear Algebra
  7. Nering, E. D.: Linear Algebra and Matrix Theory
  8. Lipschutz, S.: Linear Algebra

Differential Calculus: Function, Domain, Range, One-one function, onto function, Inverse function, Limit, Continuity and Differentiability, Libenitz’s theorem. Rolle ’s Theorem, Mean value theorem. Taylor’s theorem in finite and infinite forms. Maclaurine’s theorem. LaGrange’s form of remainders. Cauchy’s form of remainder’s. Expansion of functions. Partial differentiation. Euler’s theorem. Tangent and Normal. Determination of maximum and minimum values of functions and points of inflexion, Center of curvature.

Integral Calculus: Integration by the method of substitution. Integration by parts. Standard integrals. Definite integrals, its properties and use in summing series. Beta function and Gamma function. Area under a plane curve in Cartesian and polar co-ordinates. Arc lengths of curve in Cartesian and polar co-ordinates, Volumes of solides of revolution. Volume of hollow solids of revolutions by shall method. Area of surface of revolution

Credits: 3.00

Prerequisite: MAT 101

Suggested References:

  1. Spiegel, M. R.: Advanced Calculus
  2. Thomas and Finney: Calculus and Analytic Geometry
  3. Stewart : Calculus
  4. Swokowski, E. W.: Calculus with Analytic Geometry
  5. Howard Anton, Irl Bevens and Stephen Davis: Calculus (7th Edition)

Ordinary Differential Equations: Introduction to differential equations. Ordinary differential equations of first order and first degree, ordinary differential equations of 1st order but of higher degree, initial value problem, orthogonal trajectories, general solution of linear ordinary differential equations (homogeneous and non-homogeneous) with constant coefficients, methods of undetermined coefficients and variation of parameters, reduction of order, solution in series, simple cases of non-linear differential equations, system of linear ordinary differential equations.

Partial Differential Equations: Langrange’s method (linear first order PDE),  Charpit’s method(used for non-linear 1st order PDE), total differential equations of three variables. Theory of PDEs: Cauchy problem, characteristics, characteristics surface, existence and uniqueness, typical well-posed problems for hyperbolic and parabolic equations, elliptic equations, Dirichlet problem. Variational principles for non-homogeneous problems: Minimum potential energy theorem, quadratic functionals and complementary variational principles. Green’s functions: Influence functions, causal solution, Green’s functions and its properties. Modified Green’s functions. Non-linear DEs-I: Second-order DEs in the phase plane: Phase diagram for the pendulum equations, autonomous equations in the phase plane, conservative systems, the damped linear oscillator and non-linear damping. Non-linear DEs-II: First-order systems in two variables and linearization: The general phase plane, some population models, linear approximation at equilibrium points, the general solution of a linear system, classifying equilibrium points, constructing a phase diagram, transition between types of equilibrium points.

Credits: 3.00

Prerequisite: MAT 102

Suggested References:

Books Recommended:

  1. Ayres, F.: Differential Equations
  2. Piaggio, H. T. H.: Differential Equations
  3. Forsyth: Differential Equations
  4. Ross, L.: Introduction to Differential Equations
  5. Boyce and D’Prima: Differential Equations
  6. Sneddar : Elements of Partial Differential Equations
  7. Stakgold : Green’s Functions and Boundary Value Problems
  8. Roach : Green’s Functions
  9. Jordan & Smith : Non-Linear Differential Equations
  10. Struble : Non-Linear Differential Equations
  11. Snneddon : Partial Differential Equations

Vectors and Scalars, The Dot and Cross Product, Vector Differentiation, Gradient, Divergence and Curl, Vector Integration, the Divergence Theorem, Stokes’ Theorem and related Integral Theorems

The Complex Number ,Limits, Continuity, Uniform Continuity, Complex Differentiation and The Cauchy Riemann Equations, Complex Integration and Cauchy’s Theorem, Cauchy’s Integral Formulae and Related Theorems, Infinite Series, Taylor’s and Laurents Series, The Residue Theorem, Evaluation of Integrals and Series, Conformal Beta and Gamma Function, the Laplace Transform, Fourier series and Fourier Analysis.

Credits: 3.00

Prerequisite: MAT 103

Suggested References:

  1. Spiegel, M.R. Vector Analysis an Introduction to Tensor Analysis
  2. Churchill and Brown: Complex Variables and Applications
  3. Stewart and Tall: Complex Analysis
  4. Spiegel, M. R.: Complex Variable
  5. Copson, E. I.: Theory of Function of Complex Variables
  6. Stephenson   : Mathematical Methods
  7. Courant and Hilbert: Methods of Mathematical Physics
  8. Churchill, R. V.: Fourier Series and Boundary Value Problems
  9. Mackies, A. G.: Boundary Value Problems
  10. Spiegel, M. R.: Laplace Transform
  11. Rajput: Mathematical Physics

Basic concepts of statistics, Data, Collection of data variables population and sample, representation of statistical data, Tabulation of data, Class intervals, Frequency distribution, discrete continuous and cumulative distributions, Histograms and frequency polygons, Graphical representation data.

Statistical Measures, Measures of central tendency, measure of dispersion-range, Standard deviation, Variance, Coefficient of variation, Moments skewness, Kurtosis.

Correlation Theory, Linear correlation, Measures of correlation and significance, Regression and Curve Fitting, Linear and non-linear regression, Methods of least squares curve fitting.

Probability, Definition of Probability and related concepts, Laws of Probability, Discrete and continuous random variables, Mathematical expectation, Conditional probability.

Credits: 3.00

Prerequisite: none

Suggested References:

  1. Introduction to Probability & Statistics for Engineers & Science- Sheldon M. Ross, Third edition.
  2. Probability & Statistics for engineer & science –Uaplole, Myers, 7th edition
  3. Probability & Statistics for engineers- Richard A. Johnson

Concepts of Economic Analysis: Economy, Economics, Security, Opportunity Cost, Basic Economic Decisions, Micro and Macroeconomics, Positive and Normative Economics, Economic Variables. Economic Models, Production:  Possibility Curve.

Supply and Demand Analysis, Elasticity of Supply and Demand Consumer Choice and The Theory Demand, Indifference Curve Analysis, Production and Cost.  Isoquant Analysis,  Different Forms of Market, MonopolyInput Market Analysis, Government as a regulator and Provider of Service in Markets- An Overview.

Macro-Economics Fundamentals, Goals and Accounts: , The National Income Model: Stabilization policy, oney and Financial Systems, Fundamentals of Interest Rates, Money Supply Process, Conduct of Monetary Policy, Monetary Theory:

Credits: 3.00

Prerequisite: none

Suggested References:

  1. Hyman, David  N. Microeconomics. Second Edition, Richard D. Irwin Inc.
  2. Samuelson, Paul A. And William D. Nordhouse. Microeconomics.
  3. Browing, E.K. & J. M. Browning. Microeconomic Theory and Applications.
  4. Handerson & Poole. Principles of Microeconomics.
  5. Mishkin, Frederic, S. The Economics of Money, Banking and Financial Markets. Harper Collins, New York.
  6. IMF Reading materials.

Financial Accounting: Objectives and importance of accounting; Accounting as an information system; computerized system and applications in accounting. Recording system: double entry mechanism; accounts and their classification; Accounting equation; Accounting cycle: journal, ledger, trial balance; Preparation of financial statements considering adjusting and closing entries; Accounting concepts (principles) and conventions. Financial statements analysis and interpretation: ratio analysis.

Credits: 3.00

Prerequisite: none

Introduction to Programming Languages, Generations of Programming languages, algorithms, flowchart and concept of structured programming. Problem solving technique, Different components related to C programming language. Real life unique project to the individual student.

 

Credits: 3.00

Prerequisite: CSE 101

Sessional works based on PHY 103

 

Credits: 1.50

Prerequisite: CSE 101

This course depicts the socioeconomic profile of Bangladesh. Topics include descriptions of agriculture, industry, and service sector; Market –based reforms and Good Governance in Bangladesh; Demographic patterns; Social and physical infrastructures; Social stratification and power; Government and NGO activities in socioeconomic development; National issues and policies; and changing society of Bangladesh  This course covers the fundamental concept of social sciences-

 

Credits: 3.00

Prerequisite: None

Definition and scopes of Ethics. Different branches of Ethics. Social change and the emergence of new technologies. History and development of Engineering Ethics. Science and Technology- necessity and application. Study of Ethics in Engineering. Applied Ethics in engineering.

 

Human qualities of an engineer. Obligation of an engineer to the clients. Attitude of an engineer to other engineers. Measures to be taken in order to improve the quality of engineering profession.

 

Ethical Expectations: Employers and Employees; inter-professional relationship: Professional Organization- maintaining a commitment of Ethical standards. Desired characteristics of a professional code. Institutionalization of Ethical conduct.

 

Credits: 3.00

Prerequisite: None

Introduction to sources of energy: Steam generating units with accessories and mountings; steam turbines. Introduction to internal combustion engines and their cycles, gas turbines. Refrigeration and air conditioning: applications; refrigerants, different refrigeration methods. Fluid machinery: impulse and reaction turbines; centrifugal pumps, fans, blowers and compressors. Basics of conduction and convection: critical thickness of insulation.

 

Credits: 3.00

Prerequisite: none

Introduction, evolution, management function, organization and environment.

 

Organization: Theory and structure, coordination, span of control, authority delegation, groups, committee and task force, manpower planning.

 

Personnel management: Scope, importance, need hierarchy, motivation, job redesign, leadership, participative management, training, performance appraisal, wages & incentives, informal groups, organizational change and conflict.

 

Cost & financial management: Elements of costs of products, depreciation, break-even analysis, investment analysis, benefit cost analysis.

 

Marketing management: Concepts, startegy, sales promotion, patent laws.

 

Technology management: Management of innovation and changes, technology life cycle. Case studies.

 

Credits: 3.00

Prerequisite: none

Atomic Structure, quantum numbers, electronic configuration, periodic table. Properties and uses of noble gases. Different types of chemical bonds and their properties. Molecular structures of compounds. Selective organic reactions. Different types of solutions and their compositions. Phase rule, phase diagram of monocomponent system. Properties of dilute solutions. Thermochemistry, chemical kinetics, chemical equilibria. Ionization of water and pH concept. Electrical properties of solution.

 

Credits: 3.00

Prerequisite: none

Introduction to Heat: Concept of Heat and Temperature, Heat transfer Mechanisms, Mean Free Path, Atomic Heat of Solids, Radiation, Black Body Radiation, Plank Radiation, Liquification of gases, Low and high temperature measurement.

Thermodynamics: Thermal equilibrium and Zeroth law, The first law of thermodynamics, Some consequences of first law, The second law of thermodynamics and its application, Entropy, Enthalpy, Combined first and second law, Heat engines, Carnot’s Theorem, Clayperon equation, Application of energy concept.

Structure of Matter: Crystalline & non-crystalline solids, single crystal and polycrystal solids, Unit cell, crystal systems, Various defects in solids. Introduction to band theory: distinction between metal, semiconductor and insulator.

Wave and Oscillation: Differential Equation of a simple harmonic oscillator, total energy and average energy, combination of simple harmonic oscillation, lissajous figures, Damped oscillation, undamped oscillation, Resonance.

Nature of light: Corpuscular theory, Wave theory, Huygen’s principles, Reflection and Refraction law in Huygen’s Principles.

Interference: Youngs Experiments, Coherent sources, Analysis of interference, Fringes, Fresnel’s biprism, Newtons ring, Michelson interferometer and its application.

Diffraction: Diffraction by single slit, Position of maxima-minima, Circular aperture, Diffraction at circular aperture, Resolving power of telescope and microscope, Double slit Fraunhoffer diffraction, Diffraction grating, Resolving power of grating, Fresnel diffraction by circular aperture, Cornu’s spiral.

Polarization: Light wave vs EMT, Polarization by reflection, Polarizing angle and Brewster’s law, Polarization of transverse wave, Polarization by reflection and pile of plates, Types of polarization, Nicol prism, Laws of Molus, Scattering of light and blue sky, The red sunset.

 

Credits: 3.00

Prerequisite: none

Sessional works based on PHY 101

Credits: 1.50

Prerequisite: none

Electricity and Magnetism: Electric charge and Coulomb’s law, Electric field, concept of electric flux and the Gauss’s law- some applications of Gauss’s law, Gauss’s law in vector form, Electric potential, relation between electric field and electric potential, capacitance and dielectrics, gradient, Laplace’s and Poisson’s equations, Current, Current density, resistivity, the magnetic field, Ampere’s law, Biot-Savart law and their applications, Laws of electromagnetic induction- Maxwell’s equation.

 

Modern Physics: Galilean relativity and Einstein’s special theory of relativity; Lorentz transformation equations, Length contraction, Time dilation and mass-energy relation, photoelectric effect, Compton effect; De Broglie matter waves and its success in explaining Bohr’s theory, Pauli’s exclusion principle, Constituent of atomic nucleus, Nuclear binding energy, different types of radioactivity, radioactive decay law; Nuclear reactions, nuclear fission, nuclear fusion, atomic power plant.

 

Mechanics: Linear momentum of a particle, linear momentum of a system of particles, conservation of linear momentum, some applications of the momentum principle; Angular momentum of a particle, angular momentum of a system of particles, Kepler’s law of planetary motion, the law of universal Gravitation, the motion of planets and satellites, introductory quantum mechanics; Wave function; Uncertainty principle, postulates, Schrodinger time independent equation, expectation value, Probability, Particle in a zero potential, calculation of energy.

 

Credits: 3.00

Prerequisite: PHY-101

Sessional works based on PHY 103

Credits: 1.50

Prerequisite: PHY 102

Numerical solution of algebraic and transcendental equations. Matrices. Interpolation. Curve fitting by least squares. Numerical differentiation and integration. Finite differences. Numerical solution of differential equations.

 

Credits: 3.00

Prerequisite: MAT 210, CSE 103

In this course the students will solve the theories and concepts learned in EEE 205 by programming in C++.

 

Credits: 1.50

Prerequisite: CSE 104

Introduction to Automatic Control System, Basic Elements of Servo Mechanism. Linear System Models: Transfer function, block diagram and signal flow graph (SFG). State Variables: SFG to state variables, transfer function to state variable and state variable to transfer function. Feedback Control System: Closed loop systems, parameter sensitivity, transient characteristics of control systems, effect of third pole and zero on the system response and system types and steady state error. Routh stability criterion. Root locus method and frequency response method. Design of Feedback Control System: Controllability and observability, root locus, frequency response and state variable methods. Digital Control Systems: Introduction, sampled data systems, stability analysis in Z-domain. Electronic Control of Heating and Welding.

 

Credits: 3.00

Prerequisite: EEE 207, EEE 209

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 315.

Credits: 1.50

Prerequisite: EEE 208, EEE 210

The human body; an overview, forms of mammalian cells, bioelectricity; Electro conduction system of the heart; Bio-electric amplifiers; carrier amplifiers; optically coupled amplifiers; current loading type isolation amplifiers; chopper amplifiers; differential chopper amplifiers, Electrocardiograph (ECG) waveform; ECG preamplifiers, defibrillator, blood pressure measurements and electronic manometry pressure transducers, pressure amplifiers, systolic, diastolic and mean director circuits, practical problems in pressure monitoring; Blood flow measurements; plethysmography, vector cardiography, cardioverter and pacemakers; Measurement of human brain parameters; cerebral angiography, cronical X-ray, brain scans; Tomography and ultra sonogram; Electroencephalography (EEG); electrode, frequency bands, EEG patterns and EEG preamplifiers, ICU/ CCU central monitoring system.

 

Credits: 3.00

Prerequisite: EEE 103, EEE 303

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 325

Credits: 1.50

Prerequisite: EEE 104, EEE 304

DC Circuits: Fundamental electrical concepts and measuring units, D.C. voltage, current, resistance and power. Introduction to circuit theory and Ohm's law, Kirchhoff's current and voltage laws. Simple resistive circuits: Series and parallel circuits, voltage and current division, Wye-Delta transformation. Various techniques for solving circuit problems: loop and node analysis. Network theorems: Superposition theorem, Source transformation, Thevenin's and Norton's theorems with their applications in circuits having independent and dependent sources; maximum power transfer and reciprocity theorem. Energy storage elements: Inductors and capacitors, series parallel combination of inductors and capacitors. Responses of RL, RC and RLC circuits to natural and step responses. Magnetic Circuits: Magnetic quantities and variables: Flux, permeability and reluctance, magnetic field strength, magnetic potential, flux density, magnetization curve. Laws of magnetic circuits: Ohm's law and Ampere's circuital law. Magnetic circuits: series, parallel and series-parallel circuits. Electrical safety.

 

Credits: 3.00

Prerequisite: PHY 103

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 101

Credits: 1.50

Prerequisite: PHY 104

Periodic functions: period and frequency. Sinusoidal functions: Instantaneous and effective (r.m.s.) values of current, voltage, power. Complex quantities, phasor representation of sinusoidal quantities. Impedance, real and reactive power, average power and power factor. Single phase ac circuit analysis: Series and parallel RL, RC and RLC circuits, nodal and mesh analysis, application of network theorems in ac circuits, circuits simultaneously excited by sinusoidal sources of several frequencies, transient response of RL and RC circuits with sinusoidal excitation. Resonance in ac circuits: Series and parallel resonance. Magnetically coupled circuits. Analysis of three phase circuits: Three phase supply, balanced and unbalanced circuits, power calculation.

 

Credits: 3.00

Prerequisite: EEE 101

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 103.

 

Credits: 1.50

Prerequisite: EEE 102

Ideal diode. p-n junction diode: operating principle, current-voltage characteristics, DC and AC models. Diode circuits: Half and full wave rectifiers, rectifier with capacitor filter, clipping and clamping circuits. Zener diode and zener shunt regulator. Bipolar junction transistor (BJT): structure and physical operation, BJT characteristics, BJT as an amplifier, biasing BJT amplifiers, small signal equivalent circuit models, BJT as a switch. Single-stage mid-band frequency BJT amplifiers with different configurations: voltage and current gain, input and output resistances. Metal-oxide-semiconductor field-effect-transistor (MOSFET): structure and physical operation of enhancement type MOSFETs, current-voltage characteristics, threshold voltage and body effect, biasing MOSFET amplifiers, small signal operation and models, single-stage mid-band frequency MOSFET amplifiers with different configurations

 

Credits: 3.00

Prerequisite: EEE 101

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 201.

 

Credits: 1.50

Prerequisite: EEE 102

Basics of electromechanical energy conversion: Faraday's law of electromagnetic induction, Fleming's rule and Lenz's law. Elementary generator: electromagnetic force, left hand rule. Ideal transformer - transformation ratio, no-load and load vector diagrams; Actual transformer - construction, equivalent circuit, regulation, short circuit and open circuit tests, parallel operation; Auto transformer. Three phase induction motor: construction, rotating magnetic field, equivalent circuit, vector diagram, torque-speed characteristics, motor torque and developed rotor power, no-load test, blocked rotor test, starting and braking and speed control. Single phase induction motor: principle of operation, equivalent circuit and starting

 

Credits: 3.00

Prerequisite: EEE 103

Operational amplifiers (Op-Amp): properties of ideal Op-Amp, inverting, non-inverting and differential amplifiers, integrator and differentiator, weighted summer and other Op-Amp circuits, effects of finite open-loop gain and bandwidth, large signal operation, DC imperfections. Differential and multistage amplifiers: basic operation of differential amplifier, large signal analysis of BJT and MOS differential pairs, basic analysis of multistage amplifiers. Frequency response: amplifier transfer functions, diode and transistor high-frequency small signal models, techniques of determining 3 dB frequencies of amplifier circuits, frequency responses of single-stage, multistage and differential amplifiers. Negative feedback: properties, basic topologies, analysis of feedback amplifiers with different topologies, stability.

 

Credits: 3.00

Prerequisite: EEE 201

In this course the students will perform experiments to verify practically the theories and oncepts learned in EEE 207.

Credits: 1.50

Prerequisite: EEE 202

DC generator: Operating principle, construction, classification, no-load voltage characteristics, build-up of a self excited shunt generator, critical field resistance, load-voltage characteristic, effect of speed on no-load and load characteristics and voltage regulation. DC motor: Operating principle, classification, torque, back emf, speed, torque-speed characteristics, starting and speed regulation. Synchronous Generator: excitation systems, equivalent circuit, vector diagrams at different loads, factors affecting voltage regulation, synchronous impedance, synchronous impedance method of predicting voltage regulation and its limitations. Parallel operation: necessary conditions, synchronizing, circulating current and vector diagram. Synchronous motor: Operation, effect of loading under different excitation condition, effect of changing excitation, V-curves.

 

Credits: 3.00

Prerequisite: EEE 203

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 209.

Credits: 1.50

Prerequisite: EEE 204

Review of Vector Analysis; Gauss's theorem and its application, electrostaic potential, Lap lace's and Poisson's equations, method of images, energy of an electrostatic system, conductor and dielectrics. Magnetostatics: Concept of magnetic field, Ampere's Law, Biot-Savart law, vector magnetic potential, energy of magneto static system, mechanical forces and torques in electric and magnetic fields, Curvilinear co-ordinates, rectangular, cylindrical and spherical co-ordinates, solutions to static field problems; Graphical field mapping with applications, solution to Laplace's equations, rectangular, cylindrical and spherical harmonics with applications. Maxwell's equations: Their derivations, continuity of charges, concepts of displacement current. Boundary conditions for time-varying systems. Potentials used with varying charges and currents. Retarded potentials, Maxwell's equations in different coordinate systems. Relation between circuit theory and field theory: Circuit concepts and the derivation from the field equations. High frequency circuit concepts, circuit radiation resistance. Skin effect and circuit impedance. Concept of good and perfect conductors and dielectrics. Current distribution in various types of conductors, depth of penetration, internal impedance, power loss, calculation of inductance and capacitance. Propagation and reflection of electromagnetic waves in unbounded media: Plane wave propagation, polarization, power flow and Polyinting's theorem. Transmission line analogy, reflection from conducting and conducting dielectric boundary; Display lines ion in dielectrics, liquids and solids, plane wave propagation through the ionosphere. Introduction to radiation.

 

Credits: 3.00

Prerequisite: PHY 103

Continuous-time and discrete-time signals; commonly encountered signals; unit impulse and unit step functions; sampling and aliasing; continuous-time and discrete-time systems; basic properties. Linear Time-Invariant (LTI) Systems: The convolution sum; the convolution integral; properties; difference and differential equations. Fourier series representation of periodic signals: Continuous and discrete-time periodic signals; properties of continuous and discrete-time Fourier series; Fourier series and LTI systems. Continuous-Time Fourier Transform: Properties; convolution and multiplication properties. Discrete-Time Fourier Transform: Properties; convolution and multiplication properties. Laplace Transform: Region of convergence; inverse Laplace transform; properties; analysis of LTI systems using the Laplace transform. Z-Transform: Region of convergence; inverse z-transform; properties; analysis of LTI systems using the z-transform.

 

Credits: 3.00

Prerequisite: PHY 101

Switching Theory: Boolean algebra, Demorgan’s theorem, Truth table, Logic Circuit simplification, Logic gates, Combinational circuits, Circuits design using NAND or NOR gates only. Minimization of switching functions, Algebraic simplification using Karnaugh map, Quina Mc-cluskey method.

 

Fundamental on Combinational Logic and Sequential Logic circuit:

Arithmetic Circuits, The half adder and full adder, Parallel adders, IC parallel adders. The 2’S complement addition and subtraction, The BCD adder, Binary multiplier.

 

Flip-flop & register, Latches, S-R, J-K, D, T flip-flops, masters slave FF. Flip-flops applications, Frequency division and counting, Astable and Monostable. Pulse transformers, Pulse transmission, Pulse generator – monostable, bistable and astable multivibrators,

 

Counters, Introduction, synchronous and asynchronous ripple up and down counters, Frequency counter, digital clock.

Encoder, Decoder (BCD to decimal, BCD-to-7-segment decoder/drivers), Multiplexer, Demultiplexer and their application.

 

Basic in D/A and A/D Conversions, Successive approximation, Fash and tri-state ADC, Digital to analog conversion circuits, specification, applications, Data acquisition, digital voltmeter, Sample and hold circuits,

Integrated circuits logic families, TTI series, TTL loading rules, TTL open collector outputs, TTL, The BCL families, Digital MOSFET circuits, Characteristics, CMOS circuits, CMOS trusted logic, TTL driving CMOS, CMOS driving TTL.

 

Semiconductor Memory, Basic in Semiconductor memory technologies.

 

Credits: 3.00

Prerequisite: EEE 207

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 303.

 

Credits: 1.50

Prerequisite: EEE 208

Line representation: Equivalent circuit of short, medium and long transmission line. Network representation: Single line and reactance diagram of power system and per unit representation. Load flow: Gauss-Seidel method. Power flow control: Tap changing transformer, phase shifting, booster and regulating transformer and shunt capacitor. Fault analysis: Short circuit current and reactance of a synchronous machine. Symmetrical fault calculation methods: symmetrical components, sequence networks and unsymmetrical fault calculation. Power system stability: swing equation, equal area criterion, methods of improving transient stability. Protection: Introduction to relays, differential protection and distance protection. Circuit breakers. Load curves: Demand factor, diversity factor, load duration curves, energy load curve, load factor, capacity factor and plant factor.

Credits: 3.00

Prerequisite: EEE 209

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 305.

Credits: 1.50

Prerequisite: EEE 208

Elements of communication systems, necessity of modulation, system limitations, message source, bandwidth requirements, transmission media types, bandwidth and transmission capacity. Noise: Source, characteristics of various types of noise and signal to noise ratio. Amplitude Modulation and Demodulation: Double side band, single side band, vestigial side band. Spectral analysis of each type, envelope and synchronous detection; angle modulation instantaneous frequency, frequency modulation (FM) and phase modulation (PM), spectral analysis, demodulation of FM and PM. Pulse modulation: Sampling - sampling theorem, Nyquist criterion. Pulse code modulation (PCM) - quantization principle, quantization noise, demodulation of PCM. Frequency and time division multiplexing and their applications. Radio Wave Propagation: Effects of ionosphere and earth's curvature. Introduction to Satellite and Optical Communication. Introduction to telephony: Different types of switching, SPC and digital switching systems, time and space switching.

 

Credits: 3.00

Prerequisite: EEE 207

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 307.

 

Credits: 1.50

Prerequisite: EEE 208

Introduction to solid: The concept of solids, Unit cell and Bravis lattice, Planes and directions, Diamond lattices, Miller Indices, Classification of Solids, Some simple crystal structure, Brag’s law, Experimental methods of x-ray diffraction, Diffraction of electrons and Neutrons by crystals, Reciprocal lattice concept. Introduction to Quantum Mechanics: Wave nature of electrons, Schrodinger's equation, one-dimensional quantum problems - infinite quantum well, potential step and potential barrier; Heisenberg's uncertainty principle and quantum box. Band Theory of Solids: qualitative description energy bands, effective mass, density-of-states. Carrier Statistics: Maxwell-Boltzmann and Fermi-Dirac distributions, Fermi energy. Modern Theory of solids: Determination of Fermi energy and average energy of electrons in metals, energy band diagrams of intrinsic and extrinsic semiconductors, electron and hole concentrations in semiconductors at equilibrium, Dielectric Properties of Materials: Dielectric constant, polarization - electronic, ionic and orientational; internal field, Clausius-Mosotti equation, spontaneous polarization, frequency dependence of dielectric constant, dielectric loss and piezoelectricity. Magnetic Properties of Materials: Magnetic moment, magnetization and relative permittivity, different types of magnetic materials, origin of ferromagnetism and magnetic domains. Superconductivity: Zero resistance and Meissner effect, Type I and Type II superconductors and critical current density.

 

Credits: 3.00

Prerequisite: PHY 103

Introduction to Digital Signal Processing (DSP): Continuous and Discrete-time signals and systems, analog to digital conversion, impulse response, finite impulse response (FIR) and infinite impulse response (IIR) of discrete-time systems, difference equation, convolution, transient and steady state response. Discrete Transformations: Discrete Fourier series, discrete-time Fourier series, discrete Fourier transform (DFT) and properties, fast Fourier transform (FFT), inverse fast Fourier transform. Z-transformation: Properties, transfer function, poles and zeros and inverse Z transform. Correlation: Circular convolution, auto-correlation and cross correlation. Digital Filters: FIR filters - linear phase filters, specifications, design using window, optimal and frequency sampling methods; IIR filters - specifications, design using impulse invariant, bi-linear z-transformation, least-square methods and finite precision effects. Discrete Random Signals: Discrete time random process, spectrum representation of infinite energy signals. Response of linear systems to random signals. Adaptive Filters: Introduction to adaptive algorithms, All-zero, Pole-zero and lattice adaptive filters, Application of adaptive filters, LMS algorithm.

 

Credits: 3.00

In this course the students will perform Mathlab simulations to verify practically the theories and concepts learned in EEE 313.

Credits: 1.50

Prerequisite:

Introduction to microprocessors. Intel 8086 microprocessor: Architecture, addressing modes, instruction sets, assembly language programming, system design and interrupt. Interfacing: programmable peripheral interface, programmable timer, serial communication interface, programmable interrupt controller, direct memory access, keyboard and display interface. Introduction to micro-controllers.

 

Credits: 3.00

Prerequisite: EEE 303

This course consists of two parts. In the first part, students will perform experiments to verify practically the theories and concepts learned in EEE 401. In the second part, students will design simple systems using the principles learned in EEE 401.

 

Credits: 1.50

Prerequisite: EEE 304

Students have to complete a Project/Thesis work, which will be assigned by the department based on their previous academic records. 3/4 students may work in a group that might be approved by the department.

 

Students have to prepare a project proposal in consultation with the supervisor and that will be presented to the project committee. Finally students have to face the project pre-defense and project defense viva.

 

The Starting semester of the project will be ten and it takes minimum three semesters to complete the project.

 

Credits: 6.00

Prerequisite: All courses of English, GED, Basic Science, Program core and Interdisciplinary  engineering courses.

Crystal Growth: Electronic Grade Si, Czochralski method; Si shaping, Processing consideration. Fundamentals on Epitaxy, Deposition, Etching and Metallizations. VLSI Technology: Top down design approach, technology trends and design styles. Review of MOS transistor theory: Threshold voltage, body effect, I-V equations and characteristics, latch-up problems, NMOS inverter, CMOS inverter, pass-transistor and transmission gates. CMOS circuit characteristics and performance estimation: Resistance, capacitance, rise and fall times, delay, gate transistor sizing and power consumption. CMOS circuit and logic design: Layout design rules and physical design of simple logic gates. CMOS subsystem design: Adders, multiplier and memory system, arithmetic logic unit. Programmable logic arrays. I/O systems. VLSI testing.

Credits: 3.00

Prerequisite: EEE 303

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 429.

 

Credits: 1.50

Prerequisite: EEE 304

Differential Amplifier: Introduction, large and small signal analysis, common mode analysis and differential amplifier with active load. Band-gap references: Supply voltage independent biasing, temperature independent biasing, proportional to absolute temperature current generation and constant transconductance biasing. FET amplifiers: Passive and active loads and frequency limitation. Current mirror: Basic, cascade and active current mirror. Switch capacitor circuits: Sampling switches, switched capacitor circuits including unity gain buffer, amplifier and integrator. Phase Locked Loop (PLL): Introduction, basic PLL and charge pumped PLL. Major building blocks, Lock and capture range, Application of PLL: FM Demodulation, FSK Demodulation, AM detector, Frequency synthesizer. Noise: Introduction to noise, types, representation in circuits, noise in single stage and differential amplifiers and bandwidth.

 

Credits: 3.00

Prerequisite: EEE 207

Semiconductors in equilibrium: Energy bands, intrinsic and extrinsic semiconductors, Fermi levels, electron and hole concentrations, temperature dependence of carrier concentrations and invariance of Fermi level. Carrier transport processes and excess carriers: Drift and diffusion, generation and recombination of excess carriers, built-in-field, Einstein relations, continuity and diffusion equations for holes and electrons and quasi-Fermi level. PN junction: Basic structure, equilibrium conditions, contact potential, equilibrium Fermi level, space charge, non-equilibrium condition, forward and reverse bias, carrier injection, minority and majority carrier currents, transient and AC conditions, time variation of stored charge, reverse recovery transient and capacitance. Bipolar Junction Transistor: Basic principle of pnp and npn transistors, emitter efficiency, base transport factor and current gain, diffusion equation in the base, terminal currents, coupled-diode model and charge control analysis, Ebers-Moll equations and circuit synthesis. Metal-semiconductor junction: Energy band diagram of metal semiconductor junctions, rectifying and ohmic contacts. MOS structure: MOS capacitor, energy band diagrams and flat band voltage, threshold voltage and control of threshold voltage, static C-V characteristics, qualitative theory of MOSFET operation, body effect and current-voltage relationship of a MOSFET. Junction Field-Effect-Transistor: Introduction, qualitative theory of operation, pinch-off voltage and current-voltage relationship.

 

Credits: 3.00

Prerequisite: EEE 309

Historical development of Communication Systems: General and Optical, Advantages. Optical properties in semiconductor: Direct and indirect band-gap materials, radiative and non-radiative recombination, optical absorption, photo-generated excess carriers, minority carrier life time, luminescence and quantum efficiency in radiation. Properties of light: Particle and wave nature of light, polarization, interference, diffraction and blackbody radiation. Light emitting diode (LED): Principles, materials for visible and infrared LED, internal and external efficiency, loss mechanism, structure and coupling to optical fibers. Stimulated emission and light amplification: Spontaneous and stimulated emission, Einstein relations, population inversion, absorption of radiation, optical feedback and threshold conditions. Semiconductor Lasers: Population inversion in degenerate semiconductors, laser cavity, operating wavelength, threshold current density, power output, hetero-junction lasers, optical and electrical confinement. Introduction to quantum well lasers. Semiconductor Photodiode, PIN photodiode, Avalanche photodiode and phototransistors. Photoconductive Detectors PN and PIN photodiode Receiver. Avalanche photodiode (APD) receiver. Thermistor, Photo FET, LASCR, Alphanumeric display, LED matrix display, LCD, 7-segment display. Solar cells: Solar energy and spectrum, silicon and Schottkey solar cells. Modulation of light: Phase and amplitude modulation, electro-optic effect, acousto-optic effect and magneto-optic devices. Optical Amplification and Integrated Optics: Optical Amplifiers, Semiconductor Laser Amplifiers, Integrated Optical Devices, and Optoelectronic Integration.

 

Credits: 3.00

Prerequisite: EEE 207, EEE 309

Technological trends and design flow for digital design, design styles: Modeling of digital design using Hardware Description Language(HDL):

Verilog and VHDL: types,  syntax, primitives, operators, control construct, timing controls. Modeling Combinational logic circuits using HDL.

 Designing sequential Logic circuits: Static Sequential Circuits, dynamic Sequential circuits, modeling sequential circuits using HDL. Designing

Arithmetic building blocks: Adder, Multiplier, Shifter. Timing Issues in digital circuits. Design methodologies : Design analysis and simulation,

Design verification, Implementation approach, design synthesis, validation and testing of manufactured circuits.

 

Credits: 3.00

Prerequisite: EEE  429

Review of Basic VLIS Design : CMOS technology and process flow, Layout Design Rules, MOSIS scaleable CMOS design rules, CMOS process Enhancements. Technology related CAD issues: Design rule checking, Manufacturing Issues: Antenna rules, Layer density rules, Circuit and parasitic extraction and annotation to the circuit.  Design Margin, design corners. Sequential circuit design: Sequencing Static Circuits, Circuit Design of Latches and flip-flops. Design of Finite State Machines using CAD tools: HDL  codes for Moore Type and Melay type FSMs. Data Path  Subsystem : Adder, Multiplier and Shifter design. Timing Issues in Digital Circuits : Clock skew and sequential circuit performance,  Clock Generation and Synchronization. Designing Memory and Array structure: Read-Only Memories, Non-volatile read write Memory, Random Access Memories, Memory Peripheral circuitry. Application specific integrated circuit design.

 

Credits: 3.00

Prerequisite: EEE 311

In this course students will design circuits and VLSI system using CAD tools with concepts learned in EEE 443.

 

Credits: 1.50

Prerequisite: EEE 312

Discrete Random Signals: Discrete time random process, Spectrum representation of infinite Energy signals, Response of linear systems to random signals. Probability and random variables. Distribution and density functions and conditional probability. Expectation: moments and characteristic functions. Transformation of a random variable. Vector random variables. Joint distribution and density. Independence. Sums of random variables. Random Processes. Correlation functions. Process measurements. Gaussian and Poisson random processes. Introduction to discrete time processes, Mean-square error estimation, Detection and linear filtering. Noise models. Stationarity and Ergodicity. Spectral Estimation. Correlation and power spectrum. Cross spectral densities. Response of linear systems to random inputs.

 

Credits: 3.00

Prerequisite: EEE 313

Introduction: History of Cellular Systems, Necessity of cellular mobile, A basic cellular system, Cellular system infrastructure. Analog and digital cellular systems. Cellular Radio System: Cell area, Signal strength and cell parameters, Cell capacity, Frequency reuse, co-channel interference, cell splitting and components. Mobile radio propagation: Propagation characteristics, models for radio propagation, antenna at cell site and mobile antenna. Frequency Management and Channel Assignment: Fundamentals, spectrum utilization, fundamentals of channel assignment, fixed channel assignment, non-fixed channel assignment, traffic and channel assignment. Handoffs and Dropped Calls: Reasons and types, forced handoffs, mobile assisted handoffs and dropped call rate. Diversity Techniques: Concept of diversity branch and signal paths, carrier to noise and carrier to interference ratio performance. Digital cellular systems: Global system for mobile, time division multiple access and code division multiple access. Switching and Traffic: General description, cellular Analog switching equipment, Cellular digital switching equipment, Special features for handling traffic, MTSO interconnection, small switching systems, System enhancement.

 

Credits: 3.00

Prerequisite: EEE 307

Introduction of Fiber optics. Light propagation through optical fiber, Optical Fiber Waveguides: Ray Theory Transmission, Electromagnetic mode Theory, Cylindrical Fiber, Step-index Fibers, Graded index Fibers and Single-mode Fibers, Types and characteristics, transmission characteristics, Optical Fiber Cables and Connection: Fiber Splices Connectors, and couplers, Light sources: Light emitting diodes and laser diodes. Detectors: PIN photo-detector and avalanche photo-detectors. Receiver analysis: Direct detection and coherent detection, noise and limitations. Transmission Characteristics of Optical Fibers: Attenuation, Material Absorption and Scattering Losses, Dispersion, four wave mixing and laser phase noises. Optical amplifier: Laser and fiber amplifiers, applications and limitations. Multi-channel optical system: Frequency division multiplexing, wavelength division multiplexing and co-channel interference. Optical Fiber Systems: Optical Transmitter Circuit, Optical Receivers Circuit, System Design Considerations, Component choice.

 

Credits: 3.00

Prerequisite: EEE 307

 

Spectral estimation: Nonparametric methods : discrete random processes, autocorrelation sequence, periodogram; parametric method : autoregressive modeling, forward/backward linear prediction, Levinson-Durbin algorithm, minimum variance method and Eigenstructure method I and II. Adaptive signal processing: Application, equalization, interference suppression, noise cancellation, FIR filters, minimum mean-square error criterion, least mean-square algorithm and recursive least square algorithm. Multirate DSP: Interpolation and decimation, poly-phase representation and multistage implementation. Perfect reconstruction filter banks: Power symmetric, alias-free multi-channel and tree structured filter banks. Wavelets: Short time Fourier transform, wavelet transform, discrete time orthogonal wavelets and continuous time wavelet basis.

 

Credits: 3.00

Prerequisite: EEE 313

Introduction: Communication channels, mathematical model and characteristics. Probability and stochastic processes. Source coding: Mathematical models of information, entropy, Huffman code and linear predictive coding. Digital transmission system: Base band digital transmission, inter-symbol interference, bandwidth, power efficiency, modulation and coding trade-off. Receiver for AWGN channels: Correlation demodulator, matched filter demodulator and maximum likelihood receiver. Channel capacity and coding: Channel models and capacities and random selection of codes. Block codes and conventional codes: Linear block codes, convolution codes and coded modulation. Spread spectrum signals and system.

 

Credits: 3.00

Prerequisite: EEE 307, EEE 313

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 461

 

Credits: 1.50

Prerequisite: EEE 314

Transmission lines: Voltage and current in ideal transmission lines, reflection, transmission, standing wave, impedance transformation, Smith chart, impedance matching and lossy transmission lines. Waveguides: general formulation, modes of propagation and losses in parallel plate, rectangular and circular waveguides. Microstrips: Structures and characteristics. Rectangular resonant cavities: Energy storage, losses and Q. Radiation: Small current element, radiation resistance, radiation pattern and properties, Hertzian and halfwave dipoles. Antennas: Mono pole, horn, rhombic and parabolic reflector, array, and Yagi-Uda antenna.

 

Credits: 3.00

Prerequisite: EEE 307

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 463.

 

Credits: 1.50

Prerequisite: EEE 308

Definition and measure of information, information capacity. Fundamentals of error control coding.  Source coding: Uniquely

decodable codes,  Instantaneous code.  Optimal codes: Binary Huffman Codes.  Error-correcting Codes:  Minimum

distance, Hamming’s Sphere-packing bound, Hadamard matrices and codes.  Forward error correction (FEC) and automatic repeat

request, construction of binary compact codes, algebra of linear block codes, error correction and detection using block codes, transmission

line codes.

 

Credits: 3.00

Prerequisite:

Set theory, Mathematical induction. Relations, Pictorial representations of relations, Graphs, Graph theory, Graphs and multigraphs, Matrices and graphs, Poets and lattices, partially ordered sets, supremum and infimum, Lattices.Proposition Calculus, Statements and compound statements conjunction, Disjunction, Negation, Truth tables, Tautologies and contradistinctions conditional and biconditional statements. Boolean Algebra, Basic definitions, Duality, Boolean algebra as lattices.

 

Credits: 3.00

Prerequisite: MAT 102

Study of architectural concepts in computer systems, Computer arithmetic and arithmetic logic unit design, Memories, memory hierarchies and dynamic address translation, CPU characteristics, performance factors, Control unit design, hardware and micro-program, micro-programming. Interrupt mechanism, DMA, Pipelining.

 

Credits: 3.00

Prerequisite: CSE 201

Recurrent problems; manipulation of sums; number theory; Special numbers; generating functions.Random Variables; Stochastic process; Markov Chains (discrete parameter, continuous parameter, birth-death process); Queuing models (birth-death model, Markovian model), open and closed queuing network; Application of queuing models.

 

Credits: 3.00

Prerequisite: MAT 201

Review of MSI logic design, Registers, Counters and memory units, Register transfer logic, Micro-operations, Processor logic design, Control logic design, Micro-programmed control, Pipeline and vector processing, Computer arithmetic, Microcomputer system design, Case study.

 

Credits: 3.00

Prerequisite: CSE 213, CSE 401

Concepts of object oriented programming, Object oriented programming with C++/Java language including different concept related to object oriented programming. The course teacher will assign a real life unique project to the individual student and students have to complete the project.

 

Credits: 3.00

Prerequisite: CSE 103

Sessional works based on CSE 105

 

Credits: 1.50

Prerequisite: CSE 104

Computer Network architecture, Protocol layers, Transmission media, Encoding system, error detection, Multiplexing, Switching data link, Multiple access channel protocols. Network security, Cryptography, DES, IDEA, public key algorithm, Privacy, Authentication, Digital signature, Applications including network management, Electronic mail, Virtual terminals, URL, HTTP, multimedia, Distributed operating system.

 

Credits: 3.00

Prerequisite: CSE 103, EEE 307

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 459

 

Credits: 1.50

Prerequisite: CSE 104

Introduction to different types of microprocessors (8 bits, 16 bits etc.) Instruction sets. Hardware organization. Microprocessor interfacing. Introduction to available microprocessor peripheral IC’s. Microprocessor applications. Design of digital computer subsystems, flow of information and logical flow diagram in timing and control signals. System organization. Hardware structures. Design of the control unit of a digital computer. Introduction to microprogramming. Multiprogramming, time-sharing and real time computer systems. Data and instructions. Data systems, addressing of operative memory. Machine instructions. Channel programs. Assembler program. Program execution. Interrupt systems. I/O systems. Interconnection of computers. Operating systems. Control program. File handler. Program  structure. Virtual memory.

 

Credits: 3.00

Prerequisite: EEE 317, EEE 401

Sessional works based on CSE 444

 

Credits: 1.50

Prerequisite: EEE 402

Transmission lines cables: overhead and underground. Stability: swing equation, power angle equation, equal area criterion, multi-machine system, step by step solution of swing equation. Factors affecting stability. Reactive power compensation. Flexible AC transmission system (FACTS). High voltage DC transmission system. Power quality: harmonics, sag and swell.

 

Credits: 3.00

Prerequisite:

Special machines: series universal motor, permanent magnet DC motor, unipolar and bipolar brush less DC motors, stepper motor and control circuits. Reluctance and hysteresis motors with drive circuits, switched reluctance motor, electro static motor, repulsion motor, synchros and control transformers. Permanent magnet synchronous motors. Acyclic machines: Generators, conduction pump and induction pump. Magneto hydrodynamic generators. Fuel Cells, thermoelectric generators, flywheels. Vector control, linear motors and traction. Photovoltaic systems: stand alone and grid interfaced. Wind turbine generators: induction generator, AC-DC-AC conversion.

 

Credits: 3.00

Prerequisite:

Power plants: general layout and principles, steam turbine, gas turbine, combined cycle gas turbine, hydro and nuclear. Power plant instrumentation. Selection of location: Technical, economical and environmental factors. Load forecasting. Generation scheduling: deterministic and probabilistic. Electricity tariff: formulation and types.

 

Credits: 3.00

Prerequisite:

Power semiconductor switches and triggering devices: BJT, MOSFET, SCR, IGBT, GTO, TRIAC, UJT and DIAC. Rectifiers: Uncontrolled and controlled single phase and three phase. Regulated power supplies: Linear-series and shunt, switching buck, buckboost, boost and Cuk regulators. AC voltage controllers: single and three phase. Choppers. DC motor control. Single phase cycloconverter. Inverters: Single phase and three phase voltage and current source. AC motor control. Stepper motor control. Resonance inverters. Pulse width modulation control of static converters.

 

Credits: 3.00

Prerequisite:

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 477

Credits: 1.50

Prerequisite:

Review of probability concepts. Probability distribution: Binomial, Poisson, and Normal. Reliability concepts: Failure rate, outage, mean time to failure, series and parallel systems and redundancy. Markov process. Probabilistic generation and load models. Reliability indices: Loss of load probability and loss of energy probability. Frequency and duration. Reliability evaluation techniques of single area system.

 

Credits: 3.00

Prerequisite:

Purpose of power system protection. Criteria for detecting faults: over current, differential current, difference of phase angles, over and under voltages, power direction, symmetrical components of current and voltages, impedance, frequency and temperature. Instrument transformers: CT and PT. Electromechanical, electronic and digital Relays: basic modules, over current, differential, distance and directional. Trip circuits. Unit protection schemes: Generator, transformer, motor, bus bar, transmission and distribution lines. Miniature circuit breakers and fuses. Circuit breakers: Principle of arc extinction, selection criteria and ratings of circuit breakers, types - air, oil, SF6 and vacuum.

 

Credits: 3.00

Prerequisite:

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 481

Credits: 1.50

Prerequisite:

High voltage DC: Rectifier circuits, voltage multipliers, Van-de-Graaf and electrostatic generators. High voltage AC: Cascaded transformers and Tesla coils. Impulse voltage: Shapes, mathematical analysis, codes and standards, single and multi-stage impulse generators, tripping and control of impulse generators. Breakdown in gas, liquid and solid dielectric materials. Corona. High voltage measurements and testing. Over-voltage phenomenon and insulation coordination. Lightning and switching surges, basic insulation level, surge diverters and arresters.

 

Credits: 3.00

Prerequisite:

In this course the students will perform experiments to verify practically the theories and concepts learned in EEE 483

 

Credits: 1.50

Prerequisite:


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