Not available at this time

Properties of complex numbers. Rectangular, exponential, and graphical representations of complex numbers. Euler's identity and translating between representations. Basic and advanced operations with complex numbers, such as adding, subtracting, multiplying, and dividing, as well as exp(z), ln(z), a^z, and z^a. Applying knowledge of complex numbers to linear algebra and differential equations using MATLAB.

The Internet age of universal electronic connectivity is vital for every aspect of our lives and our economy. It enables businesses, transportation, electronic banking, health records, as well as entertainment. To maintain the integrity of the Internet, it is vital to protect and defend this infrastructure from malicious viruses, worms, eavesdropping, electronic fraud, denial-of-service attacks etc.

Quantitative study of pipelined processor architectures, memory hierarchy, cache memory, Input/Output, RISC processors and vector machines. Prerequisite: E&C-ENG 232.

This course will teach students basic experimental methodologies in electrical and computer engineering required by graduate students. The course will involve hands-on experimentation and and lectures which train students in these areas. A student completing the course will be prepared to complete advanced graduate courses in electrical and computer engineering.

Continuous-time signal and system representations. Linear time invariant systems, impulse responses, convolution. Frequency-domain analysis of continuous-time signals and systems: Fourier series, Fourier Transforms, frequency responses, filtering. Laplace Transforms for systems analysis: transient responses, transfer functions, stability. Sampling, aliasing, reconstruction. Applications: modulation, filter design, feedback systems.

Continuous-time signal and system representations. Linear time invariant systems, impulse responses, convolution. Frequency-domain analysis of continuous-time signals and systems: Fourier series, Fourier Transforms, frequency responses, filtering. Laplace Transforms for systems analysis: transient responses, transfer functions, stability. Sampling, aliasing, reconstruction. Applications: modulation, filter design, feedback systems.

Continuous-time signal and system representations. Linear time invariant systems, impulse responses, convolution. Frequency-domain analysis of continuous-time signals and systems: Fourier series, Fourier Transforms, frequency responses, filtering. Laplace Transforms for systems analysis: transient responses, transfer functions, stability. Sampling, aliasing, reconstruction. Applications: modulation, filter design, feedback systems.

Introduction to the physical foundations of electronics, including electrostatic and magnetostatic fields and basic properties of classical dielectrics and magnetic materials; electron behavior as described by quantum theory, classical and quantum pictures of current flow in electrical conductors, and semiconductor materials (composition, structure, electronic and optical properties). Practical examples will draw from electromagnetics and contemporary materials and device applications.

Introduction to the physical foundations of electronics, including electrostatic and magnetostatic fields and basic properties of classical dielectrics and magnetic materials; electron behavior as described by quantum theory, classical and quantum pictures of current flow in electrical conductors, and semiconductor materials (composition, structure, electronic and optical properties). Practical examples will draw from electromagnetics and contemporary materials and device applications.