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.

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Not available at this time

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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.