Semiconductor Devices

In-depth examination of semiconductor devices. The physics of semiconductors, p-n junction diodes, bipolar transistors, Schottky barriers, JFETs, MFSFETs, MIS diodes, CCDs, and MOSFETs. Prerequisite: E&C-Eng 344, or introductory semiconductor theory course.

Signal Theory

Unified treatment of techniques for representation of signals and signal processing operations. Emphasis on physical interpre-tation of vector spaces, linear operators, transform theory, and digital signal processing with wavelet filter banks. Prerequisite: graduate standing.

Algorithms

Introduction to the design and analysis of algorithms. Topics include basic algorithmic paradigms (e.g. divide-and-conquer, dynamic programming, the greedy approach and randomization), their application to core problems in graph theory and optimization, as well as analysis of time and space complexity.

Probability and Statistics

Probability: Experiments, models and probabilities; conditional probability and independence; single discrete and single continuous random variables; Gaussian random variables; expectation; pairs of random variables; random vectors; sums of random variables and the Central Limit Theorm. Statistics: Parameter estimation and confidence intervals; hypothesis testing, estimation of random variables.
Subscribe to