Minors in Engineering

The course covers the following topics: a) Electrical Quantities and Circuit Variables (charge, current, voltage, resistance, power and energy units), b) Circuit Modelling (sources, circuit elements, Ohm’s law and Kirchhoff’s laws, c) Circuit Reduction Techniques (series, parallel, voltage divider, current divider, delta-star conversion, voltage and current source conversions), d) Circuit Analysis Techniques (mesh and loop current analysis, node voltage analysis), e) Circuit Theorems (maximum power transfer, superposition, Thevenin and Norton), f) Energy Storage Circuit Elements, g) Complex Number Theory (complex plane, polar forms, conversions), h) AC Circuits (sinusoidal waveforms, phase, R.M.S. average values, phasors, analysis using node voltages, loop currents and branch currents). Prerequisite(s): None Credits: 4

Provides an introduction to active electronic devices and focuses on the design of analog electronic circuits. More specifically, course subjects include introductory semiconductor physics, p-n junctions, bipolar junction transistors (BJTs), field effect transistors (FETs), basic circuits and applications using transistors (differential amplifiers, digital logic, etc.), Laplace techniques for filter specification, amplification and filtering via linear operational amplifiers (op-amp) circuits.
Prerequisite(s): EL100 Credits: 4

Provides an introduction to the description of electric power systems and components. Review of three phase circuit theory. Magnetic fields and circuits. Transformers: principles of operation, equivalent circuit. Power system representation: single-line diagram, single-phase equivalent, per unit system. Electromechanical energy conversion: equations of force and torque, energy and co-energy, voltage equations, two-phase synchronous machine. Principles and characteristics of alternating current machines, pulsating and rotating magnetic field, pole number and synchronous speed. Synchronous and asynchronous machines. Load flow: statement of the problem and fundamental equations, bus types, application of the Gauss-Seidel method. Implementations and design of Electric Energy Systems based on Matlab SW. Prerequisite(s): EL100, MATH150, PH200 Credits: 3

Develops different mathematical techniques and investigates various examples and applications, emphasizing in techniques and applications of derivatives and integration, multiple integrals, limits, continuity, series and polar coordinates.
Prerequisite(s): MATH150 Credits: 3

Introduces programming using an object-oriented language. The course emphasizes problem solving and structured programming. Students completing the course should be able to: setup and use a visual software development environment; analyze and explain the behavior of simple programs involving the fundamental programming constructs covered by this unit; and modify and expand short programs that use standard conditional and iterative control structures and functions. Students design, implement, test, and debug a program that uses each of the following fundamental programming constructs: basic computation, simple I/O, standard conditional and iterative structures, and the definition of functions and write simple applications. Prerequisite(s): None Credits: 3

Topics covered include Maxwell’s equations, electrostatics and magnetostatics, fields of charge distributions, fields near conductors, method of images, material polarization and dielectrics, fields of current distributions, electric and magnetic dipoles, power and energy in electromagnetism, electromagnetic work, electrodynamics, electromagnetic waves, wave polarization, wave propagation in isotropic and anisotropic media, wave propagation in plasmas, reflection, transmission, and refraction of waves at media interfaces, wave propagation in periodic structures and photonic bandgaps, guided waves in transmission lines, microwave circuits and smith charts, transients in transmission lines, metallic waveguides, dielectric waveguides, radiation and antennas, wire antennas, antenna arrays, diffraction, and aperture antennas. Prerequisite(s): PH100 Credits: 3

Provides a description of Control Systems with differential and recursion equations, transfer functions, impulse responses, and state equations, for continuous and discrete time. Feedback, Sensitivity Steady State Errors, Disturbance Rejection. Definitions of Stability. Algebraic stability criteria: Routh, Hurtwitz, Continuous Fractions. Nyquist criterion. Root locus. Bode and Nichols diagrams. State space: Controllability and Observability, Canonical forms. Lyapunov stability. Lab – based examples of control design using Matlab. Prerequisite(s): MATH150 Credits: 3

Provides basic concepts on signals and systems both in analog and discrete time. Convolution, correlation, autocorrelation, sampling of sinusoidal signals, stationary and ergodic signals, Fourier transform. Linear, time-invariance systems, frequency response and system realization, z-transform, Discrete Fourier Transform, comparison in the continuous and discrete domains, characteristic signals and application domains. Hands – on examples and design on Lab based on Matlab SW.
Prerequisite(s): EL100, MATH150 Credits: 3