Overview of the electrical and computer engineering field, including introduction to various subdisciplines and the corresponding upper-level ECE courses.

No Lab. Mathematical models for analog circuit elements such as resistors, capacitors, op-amps, and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations. Computer projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

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.

Supplemental course for students who have completed ECE 242 (Data Structures and Algorithms) or COMPSCI 187 (Programming with Data Structures). Homework assignments and projects within Fast Fourier Transforms and Algorithms needed for Machine Learning. Python required.

Not available at this time

Not available at this time

Not available at this time

Not available at this time

Not available at this time