Today's technological world is driven by the electronics and electronic systems, developed and advanced by electrical engineers, that are found embedded in a large portion of today's commercial and consumer products. The electronic systems and subsystems (including both hardware and software components) are increasing exponentially in complexity and sophistication each year. The familiar expectation that next year's computer and communications products will be far more powerful than today's is common to all products incorporating electronics. The high (and increasing) complexity and sophistication of these electronic products may not be seen by the casual user, but they are understood, delivered and advanced by electrical engineers. The field of electrical engineering encompasses areas such as telecommunications, data networks, signal processing, digital systems, embedded computing, intelligent systems, electronics, optoelectronics, solid-state devices and many others. The Department's program is designed to provide our electrical engineering graduates with the tools and skills necessary to understand and apply today's technologies and to become leaders in developing tomorrow's technologies and applications.
The principles and practices of electrical engineering rest upon the broad base of fundamental science and mathematics that defines the School of Engineering's core program. A sequence of electrical engineering courses provides the student with an understanding of the major themes defining contemporary electronic systems as well as depth in the mathematics and principles of today's complex electronic systems. Students select elec
tive courses to develop depth in areas of personal interest. In addition to electrical engineering elective courses, the student can draw upon computer engineering and other Stevens' courses to develop the skills appropriate for their career objectives. In the senior year, students complete a significant, team-based engineering design project through which they further develop their skills.
The Electrical Engineering program is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET).
Mission
The mission of the undergraduate electrical engineering program in the Department of Electrical and Computer Engineering is to provide a balanced education in fundamental principles, design methodologies and practical experiences in electrical engineering and in general engineering topics through which the graduate can enter into and sustain a lifelong professional career of innovation and creativity.
Objectives:
The overriding objective of the electrical engineering program is to provide the graduate with the skills and understanding needed to design and build innovative new products and services, which balance the rival requirements of competitive performance/cost and practical constraints imposed by available technologies.
Graduates of the Electrical Engineering program will
Understand the evolving electronic devices and systems from their underlying physical principles and properties.
Design electronic devices, circuits and systems by applying underlying mathematical principles, software principles and engineering models.
Perform effectively in team-based electronic engineering practice.
Be proficient in the systematic explorations of alternatives for electronic systems design.
Demonstrate compliance with professional ethics, for example, as stipulated in the IEEE Code of Ethics.
Be proficient in the use of communications (oral presentations and written reports) to articulate their ideas effectively.
Participate in continuing learning and self-improvement necessary for a productive career in computer engineering.
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry.
Laboratory work to accompany CH 115: experiments of atomic spectra, stoichiometric analysis, qualitative analysis, and organic and inorganic syntheses, and kinetics.
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants.
This is a two-semester course that consists of a set of engineering experiences such as lectures, small group sessions, on-line modules and visits. Students are required to complete a specified number of experiences each semester and are given credit at the end of the semester. The goal is to introduce students to the engineering profession, engineering disciplines, college success strategies, Stevens research and other engaging activities and to Technogenesis.
This course introduces students to the process of design and seeks to engage their enthusiasm for engineering from the beginning of the program. The engineering method is used in the design and manufacture of a product. Product dissection is exploited to evaluate how others have solved design problems. Development is started on competencies in professional practice topics, primarily: effective group participation, project management, cost estimation, communication skills and ethics. Co-Requisite: E 115 Introduction to Programming for Engineers
Engineering graphics: principles of orthographic and auxiliary projections, pictorial presentation of engineering designs, dimensioning and tolerance, sectional and detail views, assembly drawings. Descriptive geometry. Engineering figures and graphs. Solid modeling introduction to computer-aided design and manufacturing (CAD/CAM) using numerically-controlled (NC) machines.
An introduction to the use of an advanced programming language for use in engineering applications, using C++ as the basic programming language and Microsoft Visual C++ as the program development environment. Topics covered include basic syntax (data types and structures, input/output instructions, arithmetic instructions, loop constructs, functions, subroutines, etc.) needed to solve basic engineering problems as well as an introduction to advanced topics (use of files, principles of objects and classes, libraries, etc.). Algorithmic thinking for development of computational programs and control programs from mathematical and other representations of the problems will be developed. Basic concepts of computer architectures impacting the understanding of a high-level programming language will be covered. Basic concepts of a microcontroller architecture impacting the use of a high-level programming language for development of microcontroller software will be covered, drawing specifically on the microcontroller used in E121 (Engineering Design I).
This is a two-semester course that consists of a set of engineering experiences such as lectures, small group sessions, on-line modules and visits. Students are required to complete a specified number of experiences each semester and are given credit at the end of the semester. The goal is to introduce students to the engineering profession, engineering disciplines, college success strategies, Stevens research and other engaging activities and to Technogenesis.
Techniques of integration, infinite series and Taylor series, polar coordinates, double integrals, improper integrals, parametric curves, arc length, functions of several variables, partial derivatives, gradients and directional derivatives.
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton’s law of gravity, simple harmonic motion, wave motion and sound.
This course continues the freshman year experience in design. The engineering method introduced in Engineering Design I is reinforced. Further introduction of professional practice topics are linked to their application and testing in case studies and project work.
Ordinary differential equations of first and second order, homogeneous and non-homogeneous equations; improper integrals, Laplace transforms; review of infinite series, series solutions of ordinary differential equations near an ordinary point; boundary-value problems; orthogonal functions; Fourier series; separation of variables for partial differential equations.
Coulomb’s law, concepts of electric field and potential, Gauss’ law, capacitance, current and resistance, DC and R-C transient circuits, magnetic fields, Ampere’s law, Faraday’s law of induction, inductance, A/C circuits, electromagnetic oscillations, Maxwell’s equations and electromagnetic waves.
Pre-Requisite: MA 115 Calculus I , PEP 111 Mechanics
Fundamental concepts of particle statics, equivalent force systems, equilibrium of rigid bodies, analysis of trusses and frames, forces in beam and machine parts, stress and strain, tension, shear and bending moment, flexure, combined loading, energy methods, statically indeterminate structures.
Pre-Requisite: MA 115 Calculus I , PEP 111 Mechanics
Ideal circuit elements; Kirchoff laws and nodal analysis; source transformations; Thevenin/Norton theorems; operational amplifiers; response of RL, RC and RLC circuits; sinusoidal sources and steady state analysis; analysis in frequenct domain; average and RMS power; linear and ideal transformers; linear models for transistors and diodes; analysis in the s-domain; Laplace transforms; transfer functions. Co-Requisite: MA 221 Differential Equations, PEP 112 Electricity and Magnetism
This course continues the experiential sequence in design. Design projects are linked with Mechanics of Solids topics taught concurrently. Core design themes are further developed. Co-Requisite: E 126 Mechanics of Solids
Pre-Requisite: E 122 Engineering Design II
Introduction to logic, methods of proof, proof by induction and the pigeonhole principle with applications to logic design. Analytic functions of a complex variable, Cauchy-Riemann equations, Taylor series. Integration in the complex plane, Cauchy Integral formula, Liouville's theorem, maximum modulus theorem. Laurent series, residues, the residue theorem. Applications to system theory, Laplace transforms, and transmission lines.
This course continues the experiential sequence in design. Design projects are in, and lectures address the area of Electronics and Instrumentation. Core design themes are further developed.
Pre-Requisite: E 245 Circuits and Systems, E 231 Engineering Design III
Concepts of heat and work, First and Second Laws for closed and open systems including steady processes and cycles, thermodynamic properties of substances and interrelationships, phase change and phase equilibrium, chemical reactions and chemical equilibrium, representative applications.
Pre-Requisite: CH 115 General Chemistry I , MA 115 Calculus I , PEP 111 Mechanics
A study of the implementation of digital systems using microprocessors. The architecture and operation of microprocessors is examined in detail along with I/O interfacing, interrupts, DMA and software design techniques. Specialized controller chips for interrupts, DMA, arithmetic processing, graphics and communications are discussed. The laboratory component introduces hardware and software design of digital systems using microprocessors. Design experiments include topics such as bus interfacing, memory decoding, serial communications and programmable ports.
Design of differential amplifiers using BJTs or FETs, design of output stages (class B and class AB), output and input impedance of differential amplifiers, frequency response. Feedback amplifiers, Nyquist criteria, Nyquist plots and root loci, bode plots, gain/phase margins and application in compensation for operational amplifiers, oscillators, tuned amplifiers and filters (passive and active). A suitable circuit analysis package is used for solving many of the problems.
Introduction to the underlying phenomena and operation of solid state electronic, magnetic and optical devices essential in the functioning of computers, communications and other systems currently being designed by engineers and scientists. Charge carrier concentrations and their transport are analyzed from both microscopic and macroscopic viewpoints, carrier drift due to electric and magnetic fields in solid state devices is formulated and optical energy absorption and emission are related to the energy levels in solid-state materials. Diffusion, generation and recombination of charge carriers are combined with carrier drift to produce a continuity equation for the analysis of solid state devices. Explanations and models of the operation of PN, metal-oxide, metal-oxide-semiconductor and heterostructure junctions are used to describe diode, transistor, photodiode, laser, integrated circuit and other device operation.
An introduction is provided to the important engineering properties of materials, to the scientific understanding of those properties and to the methods of controlling them. This is provided in the context of the processing of materials to produce products.
This course includes both experimentation and open-ended design problems that are integrated with the Materials Processing course taught concurrently. Core design themes are further developed.
Descriptive statistics, pictorial and tabular methods, measures of location and of variability, sample space and events, probability and independence, Bayes' formula, discrete random variables, densities and moments, normal, gamma, exponential and Weibull distributions, distribution of the sum and average of random samples, the central limit theorem, confidence intervals for the mean and the variance, hypothesis testing and p-values, applications for prediction in a regression model. A statistical computer package is used throughout the course for teaching and for project assignments.
An introduction to the mathematical methods used in the study of communications systems with practical applications. Discrete and fast Fourier transforms. Functions of a complex variable. Laplace and Z transforms.
Pre-Requisite: EE 250 Mathematics for Electrical Engineers, MA 227 Multivariate Calculus, E 245 Circuits and Systems
Development of deterministic and non-deterministic models for physical systems, engineering applications and simulation tools for deterministic and non-deterministic systems. Case studies and projects.
This course covers the basics of cost accounting and cost estimation for engineering projects. Basic engineering economics topics include mathematics of finance, time value of money and economic analyses using three worths, internal rate of return and benefit cost figures of merit. Advanced topics include after tax analysis, inflation, risk analysis and multi attribute analysis. Laboratory exercises include introduction to the use of spreadsheet and a series of labs that parallel the lecture portion of the course. The student is introduced to an economic model (Spreadsheet to Determine the Economics of Engineering of Design and Development - SEED), which is used to design and provide typical venture capital financials. These financials are income statement, balance sheet, break-even analysis and sensitivity analysis. Junior standing required.
This course addresses the general topic of selection, evaluation and design of a project concept, emphasizing the principles of team-based projects and the stages of project development. Techniques to acquire information related to the state-of-the-art concepts and components impacting the project, evaluation of alternative approaches and selection of viable solutions based on appropriate cost factors, presentation of proposed projects at initial, intermediate and final stages of development and related design topics. Students are encouraged to use this experience to prepare for the senior design project courses. Co-Requisite: EE 345 Modeling and Simulation, E 355 Engineering Economics Pre-Requisite: E 321 Engineering Design V
Introduction to the theory and design of digital signal processing systems. Include sampling, linear convolution, impulse response, and difference equations; discrete-time Fourier transform, DFT/FFT, circular convolution, and Z-transform; frequency response, magnitude, phase and group delays; ideal filters, linear-phase FIR filters, all-pass filters, minimum-phase and inverse systems; digital processing of continuous-time signals.
Review of probability, random processes, signals and systems; continuous-wave modulation including AM, DSB-SC, SSB, FM and PM; superheterodyne receiver; noise analysis; pulse modulation including PAM, PPM, PDM and PCM; quantization and coding; delta modulation, linear prediction and DPCM; baseband digital transmission, matched filter and error rate analysis; passband digital transmission including ASK, PSK and FSK.
Senior design course. The development of design skills and engineering judgment, based upon previous and current course and laboratory experience, is accomplished by participation in a design project. Projects are selected in areas of current interest such as communication and control systems, signal processing and hardware and software design for computer-based systems. To be taken during the student's last fall semester as an undergraduate student.
A continuation of EE 423 in which the design is implemented and demonstrated. This includes the completion of a prototype (hardware and/or software), testing and demonstrating performance and evaluating the results. To be taken during the student's last spring semester as an undergraduate student.
Basic Science electives – note: engineering programs may have specific requirements
- one elective must have a laboratory component
- two electives from the same science field cannot be selected
(3)
Credit applied in E101 & 102.
(4)
Core option – specific course determined by engineering program
(5)
Core option – specific course determined by engineering program
(6)
Discipline specific courses
(7)
General Education Electives – chosen by the student
- can be used towards a minor or option
- can be applied to research or approved international studies
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