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 Applied Probability

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InstructorTina Kapur and Rajeev Surati

Course Description | Lectures and Courseware | Student Evaluations

Lecture Notes

lecture1.ppt
lecture2.ppt
lecture3.ppt
lecture4.ppt
Lecture_05.pdf
Lecture_05.ppt

Lecture Videos

07-02-01: Introduction, Algebra of Events, Conditional Probability
07-03-01: Independence, Bayes Theorem, Probability Mass Functions
07-05-01: Conditional PMFs, Probability Density Functions
07-06-01: PDFs and Image Guided Surgery
07-09-01: Bayesian Segmentation of MRI Images

Problem Sets

ground_truth_test_img
MRI.tar
MRI_Link
mri_read.m
mri_test_img
Problem_Set_04.txt
Problem_Set_05.txt
pset01.txt
pset04.txt
SEG.tar
SEG_Link

Handouts

tutorial-problems.txt

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Site last updated: May 14, 2013
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