Optical Engineering

Calendar

LEC #	TOPICS	KEY DATES
1	Introduction: Statistical Optics, Inverse Problems	Homework 1 Posted (Fourier Optics Overview)
2	Fourier Optics Overview
3	Random Variables: Basic Definitions, Moments	Homework 1 Due  Homework 2 Posted (Probability I)
4	Random Variables: Transformations, Gaussians
5	Examples: Probability Theory and Statistics	Homework 2 Due  Homework 3 Posted (Probability II)
6	Random Processes: Definitions, Gaussian, Poisson
7	Examples: Gaussian Processes	Homework 3 Due  Homework 4 Posted (Random Processes)
8	Random Processes: Analytic Representation
9	Examples: Complex Gaussian Processes	Homework 4 Due Project 1 Begins
10	1st-Order Light Statistics
11	Examples: Thermal and Laser Light
12	2nd-Order Light Statistics: Coherence
13	Example: Integrated Intensity	Project 1 Report Due Project 2 Begins
14	The van Cittert-Zernicke Theorem
15	Example: Diffraction from an Aperture
16	The Intensity Interferometer Speckle
17	Examples: Stellar Interferometer, Radio Astronomy, Optical Coherence Tomography
18	Effects of Partial Coherence on Imaging	Project 2 “Lecture-Style” Presentations (2 Hours)
19	Information Theory: Entropy, Mutual Information
20	Example: Gaussian Channels
21	Convolutions, Sampling, Fourier Transforms Information-Ttheoretic View of Inverse Problems
22	Imaging Channels Regularization
23	Inverse Problem Case Study: Tomography Radon Transform, Slice Projection Theorem
24	Filtered Backprojection
25	Super-Resolution and Image Restoration
26	Information-Theoretic Performance of Inversion Methods