Electronic engineering

EE-340	Probability and Random Variables	3 + 0
Knowledge Area / Sub Area: Engineering Foundation
Objective: Introduce the basic concepts and engineering applications of probability and random variables.
Course Outline: Set theory, basic concepts of probability, conditional probability, independent events, Baye's formula, discrete and continuous random variables, distributions and density functions, probability distributions (binomial, Poisson, Hypergeometric, Gaussian, uniform and exponential) functions, mean, variance, standard deviations, moments and moment generating functions, linear regression and curve fitting, limits theorems, stochastic processes, first and second order characteristics, applications.
Recommended Books: Susan Milton and Jesse C Arnold, “Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences,” McGraw-Hill, 4^th Edition, 2003, ISBN: 007246836. William Mendenhall and Terry Sincich, “Statistics for Engineers and the Sciences,” Prentice Hall, 5^th Edition, 2007, ISBN: 0131877062.

EE-360	Electromagnetic Field Theory	3 + 0
Prerequisite: BH-213 Complex Variables and Transform
Knowledge Area / Sub Area: Engineering Foundation / Engineering Foundation-VIII
Objective: Introduce the concepts and mathematical methods to understand and analyze electromagnetic fields and waves.
Course Outline: Vector analysis, Coulombs law and electric field intensity, Gauss’s law, flux density and divergence, energy and potential, conductor dielectric and capacitance, Poisson’s and Laplace’s equations, steady-state magnetic field, magnetic forces, materials and inductance, time-varying fields and Maxwell’s equations, uniform plane waves.
Recommended Books: William Hayt and John A. Buck, “Engineering Electromagnetics,” McGraw-Hill, 7^th Edition, 2006, ISBN: 0073104639. Sadiku, Matthew N, “Elements of Electromagnetics,” Oxford University Press, 2^nd Edition, 1994, ISBN: 0195103688.

EE-341	Signals and Systems	3 + 1
Prerequisite: EE-211 Circuit Analysis-II
Knowledge Area / Sub Area: Major Based Course (Breadth) / Breadth-IV
Objective: Introduction to various types of signals and systems with an emphasis on fundamental tools for digital signal processing.
Course Outline: Introduction to signals and systems, classification of signals, classification of systems, complex number applications, time-domain analysis of LTI systems, BIBO stability, Laplace transform and its applications, continuous time Fourier series, Fourier transform, frequency domain, Z-transform and its applications, introduction to analog filter design.
Lab Outline: Developing and understanding signal systems and transforms using MATLAB.
Recommended Books: V. Oppenheim, A. S. Willsky and S. H. Nawab, "Signals and Systems," Prentice Hall, 2^nd Edition, 1996, ISBN: 0138147574. Simon Haykin and Barry Van Veen “Signals and Systems”, Wiley, 2^nd Edition, 2002, ISBN: 0471164747. Luis Chaparro, “Signals and Systems using MATLAB” Academic Press; 1^st Edition, 2010, ISBN: 0123747163.

EE-350	Electrical Machines	3 + 1
Prerequisite: EE-211 Electrical Network Analysis
Knowledge Area / Sub Area: Major Based Course (Breadth) / Breadth-V
Objective: Teach the concepts, construction, principles of operation, and characteristics of electrical machines.
Course Outline: Magnetic circuits and calculations: Single-phase and poly­phase circuits. Transformers: Principle of operation, construction, types, EMF equation and transformation ratio, equivalent values and equivalent power circuit diagram, impedance matching, operation and pha­sor diagram with and without load, measurement of losses and efficiency, parallel operation, cooling, three-phase connections, instrumentation transformers; DC machines: Construction, types, armature reaction, no load and on voltage characteristics of series, shunt generators, division of loads in parallel operation, torque speed characteristics, measurement of losses and efficiency. AC machines: AC machine armature winding, three-phase windings, MMF of distributed windings, speed and direction of rotating magnetic field. Induction motor: Types, construction, principle of operation, induced EMF, relation between stator and rotor quantities, phasor diagram, equivalent circuit diagram, torque slip power relations. Synchronous generator. Brushless DC motor. Switched-reluctance motor. Stepper motor.
Lab Outline: Characteristics of DC series and shunt motors, DC series and shunt generators, AC induction motor, synchronous generator, induction generator, universal motor, brushless DC motor and switched reluctance motor; transformer theory and testing.
Recommended Books: Stephen Umans “Fitzgerald & Kingsley's Electric Machinery” McGraw-Hill Science/Engineering/Math; 7^th Edition, 2013, ISBN: 0073380466. Stephen Chapman “Electric Machinery Fundamentals” McGraw-Hill Science/Engineering/Math; 5^th Edition, 2011, ISBN:0073529540. Theodore Wildi “Electrical Machines, Drives and Power Systems” Prentice Hall; 6^th Edition, 2005, ISBN:0131776916.

Semester VI

BH-302	Technical Report Writing and Presentation Skills	3 + 0
Knowledge Area / Sub Area: Humanities / English
Course Outline: Annex “A”

BH-351	Social Sciences –II	2 + 0
Knowledge Area / Sub Area: Humanities / Social Sciences
Course Outline: Courses such as, but not limited to, Sociology, Psychology, Society and Culture, Introduction to Anthropology, Fine Arts, and Inter-Regional Languages or any other course. Details at Annex “B”

EE-3XX	Digital Signal Processing	3 + 1
Prerequisite: EE-341 Signals and Systems
Knowledge Area / Sub Area: Major Based Course (Depth) / Depth-I
Objective: Students will be able to analyze signals and systems in both temporal and spectral domain. The students will be able to design digital filters for practical applications and calculate the computational efficiency of systems using DFT based algorithms.
Course Outline: The purpose of this course is to develop physical and mathematical significance of Digital Signal Processing from theoretical, application and implementation perspectives. The topics include a quick review of Discrete-Time signals and systems, z-transform and Discrete-Time Fourier transform (DTFT) and bandlimited sampling. An introduction to multirate systems will then be covered with some applications. Discrete Fourier Transform (DFT) is then introduced as a practical spectral analysis tool followed by algorithms for efficient computation of DFT (such as FFT and Goertzel Algorithm). A good portion of the course focuses on the frequency domain analysis of systems and the structures for system implementation. Different techniques for filter design against given specifications are then introduced with their practical significance.
Lab Outline: Review of MATLAB and Complex Exponentials, Introduction to DSP KIT, Audio Processing using DSP Kit, A/D and D/A Conversion : Digital Images, DFT and Spectral Leakage, Sampling, Quantization and Aliasing Using DSK, DFT Properties and Block Convolution, Frequency Response, Bandpass And Nulling Filters, Frequency Response and Pole Zero Plots of FIR/IIR Filters, Delays And FIR Filtering (DSK), FIR Filter Design Using Windowing, IIR Filter Design using Analog Design Techniques
Recommended Books: Alan V. Oppenheim, Ronald W. Schafer “Discrete-Time Signal Processing”, Prentice Hall, 3^rd Edition, 2009, ISBN: 0131988425 Richard G. Lyons “Understanding Digital Signal Processing” 3^rd Edition, 2010, ISBN: 0137027419

EE-380	Analog and Digital Communications	3 + 1
Prerequisite: EE-201 Electronic Circuit Design EE-341 Signals and Systems
Knowledge Area / Sub Area: Inter-Disciplinary Engineering Breadth (Electives)
Objective: Develop a fundamental understanding of communication systems, signal modulation techniques (Analog & Digital) and effects of noise & interference.
Course Outline: Introduction to communication systems, Amplitude modulation, Angle modulation, Pulse modulation, PCM, Delta-Sigma Modulation, DPCM and ADPCM, Transmission of Digital signals, Sampling theory and Nyquist Criterion, ASK, BPSK, QPSK, DPSK, FSK and MSK), Coherent and Non coherent detection, Performance analysis in terms of BER & bandwidth, Matched Filters and Correlator, Introduction to ISI.
Lab Outline: Study of different modulation techniques including amplitude modulation, frequency and pulse modulation, study of demodulation techniques; use of training modules/simulation tools (e. g MATLAB/ Simulink); a mini project.
Recommended Books: B. P. Lathi and Zhi Ding, “Modern Digital and Analog Communication Systems” Oxford University Press, 4^th Edition, 2009, ISBN: 0195331451. Wayne Tomasi, “Electronic Communication System, Fundamentals Through Advanced,” Prentice Hall, 5^th Edition, 2003, ISBN-10: 0130494925. Simon Haykin and Michael Moher, “Communication Systems,” Wiley; 5^th Edition, 2009, ISBN: 0471697907. Leon W. Couch, “Digital and Analog Communication Systems,” Prentice Hall; 8^th Edition, 2012, ISBN: 0132915383

EE-390	Control Systems	3 + 1
Prerequisite: EE-211 Circuit Analysis-II EE-341 Signals and Systems
Knowledge Area / Sub Area: Major Based Course (Breadth) / Breadth-VI
Objective: Study and understand the principle of system modeling, analysis and feedback control design.
Course Outline: Introduction to control systems; open-loop and closed-loop systems, transfer functions, block diagrams, signal flow graphs; introduction to modeling; formation of differential equations of electrical, mechanical and other systems, transfer functions; performance analysis of closed-loop system; stability, Routh’s stability criterion, types and analysis of feedback control systems; root locus, Bode plots, polar plots, Nyquist stability criterion, gain and phase margins, Nichol’s chart; steady-state and transient response of first-order, second-order and higher-order systems; introduction to state-space concepts and design techniques, formation and solution of state equations, eigenvalues and eigenvectors, transfer function matrices; Controller design using frequency response and root locus methods.
Lab Outline: Familiarization with MATLAB Control System toolbox and MATLAB/SIMULINK tool box; Modeling and simulation of armature-controlled and field-controlled DC motors, simulation of step response and impulse response with unity feedback using MATLAB; system analysis using rootlocus, Bode plot, and Nyquist plot using MATLAB; PI, PD and PID controller design, analysis of servo system and higher order systems.

Recommended Books: Katsuhiko Ogata, “Modern Control Engineering,” Prentice Hall, 5^th Edition, 2009, ISBN: 0136156738. Norman S. Nise, “Control Systems Engineering,” Wiley, 6^th Edition, 2010, ISBN: 9780470547564. A. Anand Kumar, “Control Systems”, Prentice-Hall of India Pvt. Ltd, 2007, ISBN: 8120331974.

Semester VII

MS-XXX	Engineering Economics	3 + 0
Knowledge Area / Sub Area: Management Electives
Objective: Introduce the concepts of economics that engineers need to know to carry out engineering tasks and projects.
Course Outline: Fundamentals of engineering economics, measures of financial effectiveness, no monetary values. Economic environment: Consumer and producer goods, measures of economic worth, price, supply and demand relationships. Selection between alternatives: Present economy, selection among materials and designs, basic investment philosophy, alternatives having identical lives, alternatives having different lives. Value analysis: Important cost concepts, cost-benefit analysis, feasibility studies, value analysis in designing and purchasing. Linear programming: Mathematical statement of linear programming problems, graphic solution, simplex procedure, duality problem. Depreciation and valuation: Types of depreciation, economic life, profit and interest, returns to capital, discrete and continuous compounding, discounting, sinking and fund problems. Capital financing and budgeting: Types of ownership, types of stock, partnership and joint stock companies, banking and specialized credit institution. Theory of production: Factors of production, laws of returns, break-even charts and relationships. Industrial relationship: Labor problems, labor organizations, prevention and settlement of disputes.
Recommended Book: Leland T. Blank and Anthony J. Tarquin, “Engineering Economy,” McGraw-Hill Science/Engineering/Math; 7^th Edition, 2011, ISBN: 0073376302

EE/CS-4XX	Elective I	3 + 0
Knowledge Area / Sub Area: Major Based Course (Depth) / Depth-I

EE/CS-4XX	Elective II	3 + 0
Knowledge Area / Sub Area: Major Based Course (Depth) / Depth-II

XX-4XX	Inter-Disciplinary Engineering Elective	3 + 0/3
Knowledge Area / Sub Area: Inter-Disciplinary Engineering Breadth (Electives)

EE-499A	Electronic Engineering Project	0 + 3
Knowledge Area / Sub Area: Senior Design Project / -
Course Outline: This course enables the students to enhance their technical capabilities by implementing their theoretical and practical knowledge in the field of research and development. Students should complete background study and simulation/design of the project.

Semester VIII

MS-4XX	Management Sciences (Elective)	3 + 0
Knowledge Area / Sub Area: Management