(Helpful Examples)
 
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=ECE 302 Fall 2008 Professor Sanghavi=
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[[Category:ECE302Fall2008_ProfSanghavi]]
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[[Category:probabilities]]
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[[Category:ECE302]]
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=[[ECE302|ECE 302: "Probabilistic Methods in Electrical and Computer Engineering "]], Fall 2008 Professor Sanghavi=
  
  
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* [[homework8_ECE302Fall2008sanghavi|Homework 8]]
 
* [[homework8_ECE302Fall2008sanghavi|Homework 8]]
 
* [[homework9_ECE302Fall2008sanghavi|Homework 9]]
 
* [[homework9_ECE302Fall2008sanghavi|Homework 9]]
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* [[homework10_ECE302Fall2008sanghavi|Homework 10]]
  
 
==Lectures==
 
==Lectures==
 
* [[Lecture 5_ECE302Fall2008sanghavi|Lecture 5: Independence]]
 
* [[Lecture 5_ECE302Fall2008sanghavi|Lecture 5: Independence]]
 
* [[10/27 Lecture: Merkov and Chebyshev Inequalities_ECE302Fall2008sanghavi]]
 
* [[10/27 Lecture: Merkov and Chebyshev Inequalities_ECE302Fall2008sanghavi]]
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* [[Map Estimation_ECE302Fall2008sanghavi|11/17 Map Estimation w/ Landis]]
  
 
== Cheat Sheets ==
 
== Cheat Sheets ==
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* [[cheat2_ECE302Fall2008sanghavi|Cheat Sheet 2]]
 
* [[cheat2_ECE302Fall2008sanghavi|Cheat Sheet 2]]
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* [[cheat3_ECE302Fall2008sanghavi|Cheat Sheet 3]]
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* [[cheat4_ECE302Fall2008sanghavi|Cheat Sheet 4]]
  
 
== Helpful Examples ==
 
== Helpful Examples ==
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* [[Estimator - coin w/ unknown bias_ECE302Fall2008sanghavi]]
 
* [[Estimator - coin w/ unknown bias_ECE302Fall2008sanghavi]]
 
* [[ML Extimate explanation_ECE302Fall2008sanghavi]]
 
* [[ML Extimate explanation_ECE302Fall2008sanghavi]]
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* [[Confidence Interval Bernoulli RV_ECE302Fall2008sanghavi]]
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* [[Confidence Interval Example 11/07/08_ECE302Fall2008sanghavi]]
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* [[Confidence Interval Explanation_ECE302Fall2008sanghavi]]
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* [[MSE Example_ECE302Fall2008sanghavi]]
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* [[Linear MMSE Estimator Example (12/1)_ECE302Fall2008sanghavi]]
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* [[ Binary Hypothesis Testing (12/3)_ECE302Fall2008sanghavi]]
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* [[ Hypothesis testting example 12/8_ECE302Fall2008sanghavi]]
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* [[ More on Hypothesis Testing 12/8_ECE302Fall2008sanghavi]]
  
 
== Random Stuff ==
 
== Random Stuff ==
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The [http://www.youtube.com/watch?v=mhlc7peGlGg Monty Hall video] Sujay showed in class.
 
The [http://www.youtube.com/watch?v=mhlc7peGlGg Monty Hall video] Sujay showed in class.
  
Look! The students in MA375 are also studying this problem. They call it [http://kiwi.ecn.purdue.edu/MA375Fall2008walther/index.php/Week3#THE_GAME_SHOW_HOST_PROBLEM.21 The game show host problem]--[[User:Mboutin|Mboutin]] 11:23, 25 September 2008 (UTC)
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<youtube>mhlc7peGlGg</youtube>
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*Look! The students in [[MA375]] are also studying this problem. They call it [http://kiwi.ecn.purdue.edu/MA375Fall2008walther/index.php/Week3#THE_GAME_SHOW_HOST_PROBLEM.21 The game show host problem]--[[User:Mboutin|Mboutin]] 11:23, 25 September 2008 (UTC)
  
  
 
The Athena Scientific page from which [http://www.athenasc.com/probbook.html Introduction to Probability, 2nd Edition] can be ordered.
 
The Athena Scientific page from which [http://www.athenasc.com/probbook.html Introduction to Probability, 2nd Edition] can be ordered.
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[[List_of_Course_Wikis|Back to list of Course Wikis]]
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[[ECE302|Back to ECE302 page]]

Latest revision as of 12:02, 22 November 2011


ECE 302: "Probabilistic Methods in Electrical and Computer Engineering ", Fall 2008 Professor Sanghavi

Getting started

Inserting Formulas

This is to address students not know how to put formulas into their wiki pages. MediaWiki uses a markup language based on Latex to produce it's mathematical equations. Anything that goes between the <math> </math> tags will be rendered as mathematical equations. All the symbols needed to produce the desired equations can be found at the following site.

Another handy way to learn how to write a math equation is to go to the real Wikipedia and find a good math article that has a bunch of formulas and just click "view source" or "edit".

Homeworks

Lectures

Cheat Sheets

Helpful Examples

Random Stuff

The Monty Hall video Sujay showed in class.


The Athena Scientific page from which Introduction to Probability, 2nd Edition can be ordered.


Back to list of Course Wikis

Back to ECE302 page

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman