Archive of Electrical Engineering Course Notes and Exams
- ECE 486 - Digital Signal Processing
- Course description: A study of discrete-time signals and systems, Z-transforms, discrete Fourier series and transforms. Efficient implementations of discrete-time system and design of IIR, FIR and multirate digital filter structures.
- ECE 512 - Linear Systems Analysis
- Course description: Analysis of linear dynamic systems using matrices and linear vector spaces, internal and external models, state variable analysis, controllability and observability, stability.
- ECE 515 - Random Variables and Stochastic Processes
- Course description: Engineering applications of probability theory. Analysis of random variables, random processes and stochastic models. Introduction to the analysis and optimization of linear systems with random inputs.
- ECE 523 - Mathematical Methods in Electrical Engineering
- Course description: Application of mathematical and numerical methods to Electrical Engineering problems. Topics include: systems of linear equations, sparse matrices, nonlinear equations, optimization, interpolation, numerical integration and differentiation, ordinary differential equations, error analysis, application to linear and nonlinear circuit analysis.
- ECE 543 - Microelectronic Devices I
- Course description: Physics, engineering, modelling, and design of deep-submicron Si devices used in microelectronic circuits; non-Si devices used for Photonics; and novel quantum-mechanical single-electron devices.
- ECE 550 - Electromagnetic Theory
- Course description: Reviews of Maxwell's Equations and waves in dielectric and lossy unbounded and layered media. Covers plane cylindrical and spherical wave functions; reflection and transmission properties of layered media, electromagnetic radiation and antenna theory.
- ECE 565 - Solid State Device Theory I
- Course description: A study of physical principles underlying solid state devices. Topics include: crystalline structure, x-ray diffraction, reciprocal space, lattice vibrations, phonons, specific heat and introduction to quantum mechanics.
- ECE 581 - Estimation and Detection Theory
- Course description: Mathematical fundamentals of optimal signal-processing strategies. Neyman-Pearson and Bayes Detectors applied to radar and sonar systems. Maximum Likelihood and Bayes Estimators and applications.
- ECE 590 - Neural Networks
- Course description: Introduces artificial neural networks. Provides supervised and unsupervised learning in single and multi-layer networks, software implementation, hardware overview. Applications in pattern recognition and image analysis.
- ECE 643 - Microelectronic Devices II
- Course description: Physics, engineering, modelling, and design of deep-submicron Si devices used in microelectronic circuits; non-Si devices used for Photonics; and novel quantum-mechanical single-electron devices.
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Last Update: 01/25/2008
