Search results for "Lecture" - Rhea

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Page title matches

• ECE 301 Fall 2007 mboutin Lecture 100
  *[[Image:ECE_301_Fall_2007_Lecture12_04.pdf|Lecture 100 - 12/04/08]]
  68 B (7 words) - 10:21, 5 December 2008
• Lecture Schedule (ECE438BoutinSpring09)
  6 KB (689 words) - 06:59, 2 August 2010
• Lecture Questions
  == [[ECE264]] Lecture Questions, Spring 2009, Prof. Lu ==
  2 KB (331 words) - 04:39, 11 July 2012
• Lecture 5 ECE302Fall2008sanghavi
  977 B (158 words) - 12:00, 22 November 2011
• Lecture 6 ECE302Fall2008sanghavi
  #REDIRECT [[Lecture 5_ECE302Fall2008sanghavi]]
  46 B (5 words) - 11:49, 8 September 2008
• 10/27 Lecture: Merkov and Chebyshev Inequalities ECE302Fall2008sanghavi
  1 KB (229 words) - 11:59, 22 November 2011
• Lecture 1 MA181Fall2008bell
  74 B (10 words) - 07:37, 25 September 2008
• Lecture Notes MA181Fall2008bell
  [http://www.math.purdue.edu/~bell/MA181/Lectures Bell's lecture notes] It would be great if people from class posted their lecture notes here from time to time too. --[[User:Bell|Bell]] 12:07, 2 October 20
  753 B (128 words) - 10:13, 2 October 2008
• Math Club Lecture TODAY MA375Fall2008walther
  Math Club lecture
  180 B (29 words) - 05:55, 11 December 2008
• Math Club Lecture TODAY MA453Fall2008walther
  Math Club lecture
  108 B (17 words) - 08:46, 9 December 2008
• Lecture 17 - Nearest Neighbors Clarification Rule and Metrics Old Kiwi
  =Lecture 17, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (938 words) - 07:38, 17 January 2013
• Lecture 1 - Introduction Old Kiwi
  =Lecture 1, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  3 KB (468 words) - 07:45, 17 January 2013
• Lecture 2 - Decision Hypersurfaces Old Kiwi
  =Lecture 2, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (737 words) - 07:45, 17 January 2013
• Lecture 3 - Bayes classification Old Kiwi
  =Lecture 3, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (843 words) - 07:46, 17 January 2013
• Lecture 4 - Bayes Classfication Old Kiwi
  #REDIRECT: [[Lecture 4 - Bayes Classification_Old Kiwi]]
  56 B (7 words) - 10:37, 17 March 2008
• Lecture 5 - Discriminant Functions Old Kiwi
  =Lecture 5, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (916 words) - 07:47, 17 January 2013
• Lecture 6 - Discriminant Functions Old Kiwi
  =Lecture 6, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  9 KB (1,586 words) - 07:47, 17 January 2013
• Lecture 7 - MLE and BPE Old Kiwi
  =Lecture 7, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  10 KB (1,488 words) - 09:16, 20 May 2013
• Lecture 8 - MLE, BPE and Linear Discriminant Functions Old Kiwi
  =Lecture 8, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (792 words) - 07:48, 17 January 2013
• Lecture 9 - Linear Discriminant Functions Old Kiwi
  =Lecture 9, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,307 words) - 07:48, 17 January 2013
• Lecture 10 - Batch Perceptron and Fisher Linear Discriminant Old Kiwi
  =Lecture 10, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (755 words) - 07:48, 17 January 2013
• Lecture 11 - Fischer's Linear Discriminant again Old Kiwi
  =Lecture 11, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (907 words) - 07:49, 17 January 2013
• Lecture 12 - Support Vector Machine and Quadratic Optimization Problem Old Kiwi
  =Lecture 12, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,235 words) - 07:49, 17 January 2013
• Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi
  =Lecture 13, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,354 words) - 07:51, 17 January 2013
• Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) Old Kiwi
  =Lecture 14, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  13 KB (2,073 words) - 07:39, 17 January 2013
• Lecture 15 - Parzen Window Method Old Kiwi
  =Lecture 15, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  7 KB (1,212 words) - 07:38, 17 January 2013
• Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate Old Kiwi
  [[Category:Lecture Notes]] =Lecture 16, [[ECE662]]: Decision Theory=
  10 KB (1,607 words) - 07:38, 17 January 2013
• Lecture 2 Old Kiwi
  #REDIRECT: [[Lecture 2 - Decision Hypersurfaces_Old Kiwi]]
  58 B (7 words) - 17:07, 6 March 2008
• Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) Old Kiwi
  =Lecture 18, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (1,066 words) - 07:40, 17 January 2013
• Lecture 3 Old Kiwi
  #REDIRECT: [[Lecture 3 - Bayes classification_Old Kiwi]]
  56 B (7 words) - 10:33, 17 March 2008
• Lecture 4 Old Kiwi
  #REDIRECT:[[Lecture 4 - Bayes Classification_Old Kiwi]]
  55 B (7 words) - 10:34, 17 March 2008
• Lecture 4 - Bayes Classification Old Kiwi
  =Lecture 4, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,360 words) - 07:46, 17 January 2013
• Lecture 7 Old Kiwi
  #redirect: [[Lecture 7 - MLE and BPE_Old Kiwi]]
  47 B (8 words) - 11:09, 17 March 2008
• Lecture 8 Old Kiwi
  #redirect:[[Lecture 8 - MLE, BPE and Linear Discriminant Functions_Old Kiwi]]
  77 B (11 words) - 11:10, 17 March 2008
• Lecture 11 Old Kiwi
  #redirect: [[Lecture 11 - Fischer's Linear Discriminant again_Old Kiwi]]
  72 B (9 words) - 15:20, 25 March 2008
• Lecture 19 - Nearest Neighbor Error Rates Old Kiwi
  =Lecture 19, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  5 KB (1,003 words) - 07:40, 17 January 2013
• Lecture 20 - Density Estimation using Series Expansion and Decision Trees Old Kiwi
  =Lecture 20, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (1,047 words) - 07:42, 17 January 2013
• Lecture 21 - Decision Trees(Continued) Old Kiwi
  =Lecture 21, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (1,012 words) - 07:42, 17 January 2013
• Lecture 22 - Decision Trees and Clustering Old Kiwi
  =Lecture 22, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  6 KB (806 words) - 07:42, 17 January 2013
• Lecture 23 - Spanning Trees Old Kiwi
  =Lecture 23, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  7 KB (1,060 words) - 07:43, 17 January 2013
• Lecture 24 - Clustering and Hierarchical Clustering Old Kiwi
  =Lecture 24, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,254 words) - 07:43, 17 January 2013
• Lecture 25 - Clustering Algorithms Old Kiwi
  =Lecture 25, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,259 words) - 07:43, 17 January 2013
• Lecture 26 - Statistical Clustering Methods Old Kiwi
  =Lecture 26, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,244 words) - 07:44, 17 January 2013
• Lecture 27 - Clustering by finding valleys of densities Old Kiwi
  =Lecture 27, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  8 KB (1,337 words) - 07:44, 17 January 2013
• Lecture 28 - Final lecture Old Kiwi
  =Lecture 28, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[us
  10 KB (1,728 words) - 07:55, 17 January 2013
• Lecture 2 - Decision Hypersurfaces OldKiwi
  [[Category:lecture notes]] =Lecture 2 Lecture notes=
  5 KB (744 words) - 10:17, 10 June 2013
• Lecture 1
  [[Category:ECE301]] [[Category:Programming]] [[Category:Matlab]] [[Category:lecture notes]] =Lecture 1, [[ECE301]], Summer 2009, Landis Huffman=
  2 KB (232 words) - 04:30, 11 July 2012
• MA 598R pweigel Summer 2009 Lecture 1
  =Lecture 1, MA598R, Weigel, Summer 2009=
  295 B (35 words) - 04:49, 11 June 2013
• MA 598R pweigel Summer 2009 Lecture 2
  =Lecture 2, MA598R, Weigel, Summer 2009=
  314 B (38 words) - 04:50, 11 June 2013
• MA 598R pweigel Summer 2009 Lecture 3
  =Lecture 3, MA598R, Weigel, Summer 2009=
  294 B (35 words) - 04:50, 11 June 2013

Page text matches

• ECE 301 (BoutinFall2007)
  === Lecture Notes and Class Feedback=== * [[ECE 301 Fall 2007 mboutin Lecture 100|Lecture 100 (12/04/08)]]
  2 KB (238 words) - 15:54, 23 April 2013
• ECE661Fall2008Kak
  ==Other Course Material (from handouts and lecture)==
  14 KB (2,253 words) - 11:21, 9 January 2009
• Ideas for Instructors
  ...example catching some mistakes or misconceptions. An alternative to typing lecture notes is to set up a page where students can offer to trade notes with each
  6 KB (1,060 words) - 12:12, 6 May 2012
• Rhea Course Template 1
  === Lecture Notes and Class Feedback=== * [[XYZ 123 professor jsmith Semester Year Lecture 1|Lecture 1]]
  2 KB (337 words) - 06:30, 5 January 2009
• Rhea Portal
  *[[:Category:lecture_notes|Lecture Notes]]: taken by students and neatly typed.
  6 KB (877 words) - 06:22, 21 March 2013
• ECE 301 (SanSummer2008)
  Lecture: M T W Th F 9:50 am - 10:50 am @ EE 117 #Lecture 1
  7 KB (921 words) - 05:08, 21 October 2011
• ECE301:SanSummer08:Exam II (ECE301Summer2008asan)
  Lecture 15 pg. 18 gives details of the properties for these types of functions.
  4 KB (815 words) - 09:57, 21 November 2008
• ECE 301 Fall 2007 mboutin Course Notes
  [[Category:lecture Notes]]
  2 KB (229 words) - 15:55, 23 April 2013
• ECE 301 Fall 2007 mboutin Lecture 100
  *[[Image:ECE_301_Fall_2007_Lecture12_04.pdf|Lecture 100 - 12/04/08]]
  68 B (7 words) - 10:21, 5 December 2008
• ECE438 (BoutinSpring2009)
  * [http://cobweb.ecn.purdue.edu/~allebach/ece438/lecture/ Prof. Allebach's Lecture Notes]
  9 KB (1,235 words) - 09:15, 11 January 2010
• Rhea Course Template 3
  === Lecture Notes and Class Feedback=== * [[XYZ 123 professor jsmith Semester Year Lecture 1|Lecture 1]]
  1 KB (202 words) - 06:35, 12 August 2009
• ECE 438 professor Boutin Spring 2009 Course Details
  * [[Lecture Schedule (ECE438BoutinSpring09)|Schedule]]
  558 B (80 words) - 08:55, 27 February 2009
• ECE201 (Spring2009)
  === Lecture Notes and Class Feedback===
  1 KB (178 words) - 08:11, 26 February 2009
• Main Page MA181Fall2008bell
  ==[[Lecture Notes_MA181Fall2008bell]]==
  3 KB (390 words) - 05:35, 10 August 2010
• MA453 (WaltherSpring2009)
  You may bring: lecture notes, homework assignments.
  4 KB (704 words) - 09:52, 16 December 2009
• Main Page ECE301Fall2008mboutin
  Lecture: '''MWF 4:30PM''' in EE129 === Lecture Notes and Class Feedback===
  5 KB (720 words) - 05:10, 16 September 2013
• Main Page MA375Fall2008walther
  ==Lecture Notes==
  10 KB (1,377 words) - 13:49, 20 September 2012
• ECE637 (BoumanSpring2009)
  = Lecture Notes = * [[Lecture1NotesECE637BoumanSpring09|Lecture 1: Introductions]]
  1 KB (200 words) - 07:03, 9 April 2013
• Lecture2ECE400S14
  =Lecture 2 Blog, [[ECE400]] Spring 2014, [[user:mboutin|Prof. Boutin]]= Quick link to lecture blogs: [[Lecture1_blog_ECE400S14|1]] [[Lecture2ECE400S14|2]] [[Lecture3ECE
  997 B (127 words) - 12:32, 23 January 2014
• ECE 438 Spring 2009 mboutin Course Notes
  [[Category:lecture notes]] =Lecture Notes for [[ECE438]] Spring 2009, [[user:mboutin|Prof. Boutin]]=
  865 B (78 words) - 05:37, 16 September 2013
• Lecture Questions
  == [[ECE264]] Lecture Questions, Spring 2009, Prof. Lu ==
  2 KB (331 words) - 04:39, 11 July 2012
• ECE302 (ChihwSpring2009)
  * [http://cobweb.ecn.purdue.edu/~chihw/ECE302_09S.html Lecture Notes and HW pdfs]
  2 KB (279 words) - 20:17, 31 March 2009
• MA 375 Spring 2009 Walther Definitions
  [[Category:lecture notes]]
  5 KB (850 words) - 07:41, 20 May 2013
• CourseNotes1 (BoutinSpring2009)
  [[Category:lecture notes]]
  3 KB (532 words) - 05:43, 16 September 2013
• CourseNotes2 (BoutinSpring2009)
  [[Category:lecture notes]]
  3 KB (508 words) - 05:43, 16 September 2013
• CourseNotes3 (BoutinSpring2009)
  [[Category:lecture notes]]
  2 KB (408 words) - 05:43, 16 September 2013
• CourseNotes4 (BoutinSpring2009)
  [[Category:lecture notes]] ...">Use of diagrams makes this difficult to add in, please see previous days lecture notes for the properties of Linearity and Time-Invariance.</font>
  2 KB (359 words) - 05:43, 16 September 2013
• Chapter 3: Problem 10
  ...ty that aren't factors of 20? I think this is correct from what he said in lecture and since 2 is a multiple of 20 then that can't be used along with examples
  1 KB (184 words) - 12:10, 4 February 2009
• MA 375 Spring 2009 Walther Week 2
  [[Category:lecture notes]]
  2 KB (407 words) - 07:43, 20 May 2013
• CourseNotes6 (BoutinSpring2009)
  [[Category:lecture notes]]
  769 B (105 words) - 05:44, 16 September 2013
• Program for U Groups
  [[Category:lecture notes]]
  2 KB (269 words) - 07:38, 20 May 2013
• CourseNotes16 (BoutinSpring2009)
  [[Category:lecture notes]]
  2 KB (376 words) - 05:44, 16 September 2013
• MA 375 Spring 2009 Walther Week 5
  [[Category:lecture notes]]
  576 B (70 words) - 08:18, 20 May 2013
• HW 5 Question 1
  ...re/module_1/1.5_z_transform/1.5.4_zt_and_ccf_diff_eq.pdf Allebach's useful lecture note] for this problem.--[[User:Kim415|Kim415]] 16:07, 1 March 2009 (UTC)
  2 KB (295 words) - 12:44, 2 March 2009
• CourseNotes20 (BoutinSpring2009)
  [[Category:lecture notes]]
  3 KB (522 words) - 05:45, 16 September 2013
• CourseNotes30 (BoutinSpring2009)
  [[Category:lecture notes]] ...sources of digital interference in camera systems that we didn't get to in lecture but i'll go ahead and point out a few of them that you have actually seen i
  2 KB (324 words) - 05:45, 16 September 2013
• Course evaluation (ECE438BoutinSpring2009)
  ...ful, but there should be a balance between theory and concrete examples in lecture. --[[User:Leedj|Leedj]] 17:03, 3 May 2009 (UTC)
  4 KB (709 words) - 12:42, 3 May 2009
• Reading guide (ECE438BoutinSpring2009)
  .... Allebach's lecture notes on [http://dynamo.ecn.purdue.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.5_complex_variables.pdf complex variables] .... Allebach's lecture notes on [http://dynamo.ecn.purdue.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.1_signal_types.pdf Signal Types]
  8 KB (1,226 words) - 10:40, 1 May 2009
• ECE301 (HuffmalmSummer2009)
  * The Final will be held Wednesday, August 5, 8-9:30AM. The location is the lecture room. Exam information posted on the [[Exams/Quizzes]] page. '''Note that
  2 KB (389 words) - 06:32, 7 September 2010
• ECE301
  [[ECE301_signals_systems_lecture_notes|Lecture Notes]]
  720 B (90 words) - 11:11, 27 March 2015
• ECE438 (BoutinFall2009)
  * [[ECE_438_Fall_2009_mboutin_DFT_lecture_material|Some material for the lecture on DFT (re:leakage effect)]] * [http://cobweb.ecn.purdue.edu/~allebach/ece438/lecture/ Prof. Allebach's Lecture Notes]
  7 KB (1,067 words) - 11:05, 25 June 2010
• Main Page ECE302Fall2008sanghavi
  * [[Lecture 5_ECE302Fall2008sanghavi|Lecture 5: Independence]] * [[10/27 Lecture: Merkov and Chebyshev Inequalities_ECE302Fall2008sanghavi]]
  5 KB (663 words) - 12:02, 22 November 2011
• Lecture 6 ECE302Fall2008sanghavi
  #REDIRECT [[Lecture 5_ECE302Fall2008sanghavi]]
  46 B (5 words) - 11:49, 8 September 2008
• 5.1 - Virgil Hsieh ECE302Fall2008sanghavi
  Hey, way to point out something that wasn't mentioned in lecture! It's not like that stuff was directly out of the notes or anything. Note m
  449 B (84 words) - 03:09, 6 October 2008
• 7.4 Katie Pekkarinen ECE302Fall2008sanghavi
  ...two independent random variables is the convolution of the two PDFs. The lecture notes from 10/10 are helpful.
  133 B (23 words) - 18:13, 19 October 2008
• Spencer Mitchell 8.4 ECE302Fall2008sanghavi
  Something small that I didn't pick up on in lecture.
  227 B (40 words) - 07:42, 4 November 2008
• Problem 4 - Junzhe Geng ECE302Fall2008sanghavi
  This problem is quiet similar with the lecture example, except for the [-a,a] instead of [0,a]
  309 B (65 words) - 11:32, 10 November 2008
• Problem 2 - Steven Streeter ECE302Fall2008sanghavi
  I was looking back at the 11-05-08 lecture and noticed the coin w/ unknown bias example where Pr[H] = P in n tosses.
  601 B (122 words) - 17:42, 10 November 2008
• Map Estimation ECE302Fall2008sanghavi
  [[Category:lecture notes]]
  4 KB (671 words) - 08:23, 10 May 2013
• Lecture Notes MA181Fall2008bell
  [http://www.math.purdue.edu/~bell/MA181/Lectures Bell's lecture notes] It would be great if people from class posted their lecture notes here from time to time too. --[[User:Bell|Bell]] 12:07, 2 October 20
  753 B (128 words) - 10:13, 2 October 2008