Bachelor's Degree in Electrical Engineering

This course provides an introduction to the fundamental concepts of inorganic chemistry, including atomic and molecular structure, bonding types, reactions, equation and stoichiometry (a mathematical approach to solving problems involving chemical phenomena).

The study of calculus is continued with the differentiation and integration of transcendental functions (exponential, logarithmic, inverse trigonometric, and hyperbolic).  Applications of the definite integral include finding volumes of solids of revolution by the disk and shell methods, and the length of plane curves and surfaces of revolution.  Integration techniques include integration by parts, partial fractions, trigonometric substitution, and use of tables and technology.  Additional topics covered include improper integrals, and Taylor polynomials. The course concludes with an introduction to multivariable functions, partial derivatives, and double and triple integrals. A graphing calculator or equivalent technology is required.

This course provides the foundation for the study of computer system security. The course centers around the ten domains comprising the Information Security Common Body of Knowledge. Topics include access control systems, telecommunications and network security, cryptography, operations security and business continuity and disaster recovery planning. Students will be exposed to security management practices as well as security architecture and models security laws, investigations and ethics.

This course provides the beginning engineer with fundamental knowledge and skills associated with the electrical or computer engineering professions. It will introduce common electronic components, basic circuit configurations, and laboratory instruments. Bench practices and lab reports will be introduced along with computer aided analysis.

This calculus-based course introduces analysis and relationships of voltage, current, resistance and power. Series, parallel and complex circuits are analyzed with Ohm’s Law. Kirchhoff’s voltage and current laws and network theorems are studied. Laboratory circuit construction, tests and measurements are performed using the appropriate components and equipment. Circuit simulation tools used in industry are also introduced.

EE252 is an introduction to the analysis and design of combinational and sequential digital systems. Number systems, Boolean switching algebra and Karnaugh mapping are presented as basic tools used in the design of digital systems using SSI and MSI level components. Lab activity, using TTL ICs, emphasizes the design and analysis techniques presented in lectures.

Embedded microcontroller development processes and tools are introduced. The hardware and software architecture of a contemporary off-the-shelf microcontroller is analyzed to determine its functional role as an embedded controller in the design of a digital system. An assembly language program development and simulation system introduces students to embedded system development environments.

This calculus-based course covers circuit analysis related to AC and transient signals. Resistance, reactance and impedance parameters are analyzed in series, parallel and complex circuits. Trigonometrics functions, AC network theorems, transformer and passive filter theories are applied. Laboratory circuit construction, test and measurements are performed using the appropriate components and equipment. Laboratory emphasis is placed on the knowledge and use of test and measurement instruments. Circuit simulation tools used in industry are employed.

The purpose of Advanced Engineering Math is to present and use mathematical techniques that provide alternative, simpler methods of solving engineering problems. This advanced applied math course investigates the areas of Vector Calculus (including gradient, divergence, and curl), Partial Differential Equations (including Separation of Variables), and Complex Analysis (including graphical representation with conformal mapping). Techniques are presented in the three most used coordinate systems: Cartesian, cylindrical, and spherical.

This course provides fundamental analysis tools in preparation for the Communications System courses. Includes the classification of continuous-time and discrete-time signals and basic operations on these signals. Investigates the behavior of continuous and discrete-time systems by use convolution, differential and difference equations, block diagrams, and state-variable methods. Emphasizes Fourier analysis to characterize signals in the frequency domain and to determine linear time-invariant system frequency response.

A continuation of the study of digital system design emphasizing the use of programmable logic devices and modern design methods. Contemporary logic families are reviewed along with practical design limitations. Computer simulation tools are introduced in the design process.

This course provides a foundational knowledge for analyzing and designing electronic circuits as well as an intuitive approach to the design process. Discrete components and circuits are analyzed and designed to develop an understanding of how these components and circuits have lead to the fabrication of integrated circuits (ICs). Computer aided circuit stimulation, as well as hands-on applications of analysis and design theory, validates theoretical concepts.

Single and multiple stage amplifiers are analyzed and modeled in terms of amplifier parameters such as gain, input and output impedances and frequency response. Lab projects require designing, constructing and demonstrating circuits to meet selected specifications and objectives. Lab projects must be satisfactorily completed to meet course requirements. Circuit performance is measured against the design objectives and specifications.

This course investigates the extended analysis of feedback effects in circuits as a basis for the design of amplifier systems, filters and analog systems. Designs are modeled and then implemented in the laboratory. Circuit performance is measured against the design objectives and specifications.

This is an introductory course in communications theory emphasizing the correlation between signal information in the time domain and frequency domain. Basic signal filters are developed and applied. Basic principles of linear and angle modulation and demodulation are presented. Concepts of analog communication systems are introduced.

A continuation of basic communications theory and principles, emphasizing digital communications. Concepts in representing digital signals are studied along with techniques for digital modulation and multiplexing. Spread spectrum system fundamentals are introduced. Use of a contemporary software application for system modeling and simulation is expected. Student research on a contemporary communications system culminating with a professional paper and presentation is required.

This is the first course of a two-course capstone design sequence that integrates students into product design teams comprising engineering, engineering technology and logistics students. Each team is given a conceptual problem to be solved by the creation of a new product. This practicum exposes the team to current product development methods and issues beyond functionality, such as human factors, safety, engineering economics, maintenance and manufacturing. Students completing EE490 are expected to take the follow-on course, EE491 in the next term.

This is the completion of a two-course series capstone, design sequence. Student enrolled in EE491 are expected to have completed EE490 in the previous term.

In this course methods are studies to solve differential equations and then apply them to application problems. Solution methods of specific types of first order differential equations are followed by their application to growth and decay, heating and cooling, and voltage and current response to R-L and R-C circuits. Solution methods for solving higher order linear differential equations are followed by their application to predicting the motion of masses under free and damped conditions. Analogous electronic filter and control circuits are modeled and their time domain behavior is predicted, especially for sinusoidal inputs. The final technique studied is the use of Laplace transforms to solve linear equations, and their application to second order differential equations from simple circuits.

This course is an introductory course in linear algebra that balances computation and theory. Topics include the solution of systems of linear equations using Gaussian and Gauss-Jordan elimination, matrices and determinants. Other topics covered are vector spaces, inner product spaces, linear transformations, eigenvalues, and eigenvectors. Also introduced is the Gram-Schmidt orthonormalization process, and Least Squares and Fourier approximations. The course is divided between lecture and hands on work in a computer lab using a symbolic math software package.

This is an introductory electromagnetic fields course that covers Electro- and Magnetostatics, Maxwell’s equations, capacitance, inductance, dielectric and magnetic materials, and plane wave propagation. Concepts are applied to practical applications in transmission lines and antennas.