Eugene Kanzieper

probability and statistics 4 ee - 20019

 

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[ options: schedule | announcements | lecture notes | exam collection | more ]
       

 

 

 

Probability theory: a branch of mathematics concerned with analysis of random phenomena  (Encyclopaedia Britannica)

 

"The theory of probability is at bottom common sense reduced to calculation"  (Pierre Simon Laplace, 1749-1827)

 
     
     
 

Schedule [2011/12, fall term] 

 
           
 

Group 20019-01

  • Lectures / Prof. Eugene Kanzieper

    Sun 13:00-14:00 [112/5]

    Wed 11:00-13:00 [112/5]

     

  • Classes / Prof. Eugene Kanzieper

    Sun 14:00-15:00 [217/5]

     

  • Classes / Mr. Mark Israel

    Sun 14:00-15:00 [220/5]

 

Group 20019-02

  • Lectures / Prof. Eugene Kanzieper

    Sun 11:00-13:00 [216/5]

    Wed 13:00-14:00 [216/5]

     

  • Classes / Prof. Eugene Kanzieper

    Wed 14:00-15:00 [216/5]

     

  • Classes / Mrs. Louiza Mallaev

    Thu 13:00-14:00 [214/5]

 
   
Tigburim
  • Sun 15:00-16:00 [112/5] new

  • Thu 10:00-11:00 [200/8] new

   
  • Midterm Exam 20019-01 [Dec 14, 11:00--12:00]

  • Midterm Exam 20019-02 [Dec 14, 13:00--14:00]

   
  • Office Hours

    [please notify by email if you

    decide to come]

     

    Prof. Eugene Kanzieper

    eugene (dot) kanzieper (at) gmail (dot) com

    Sun 15:00-16:00 [418/8]

Mr. Mark Israel

markisr (at) walla (dot) com

Fri 09:00-11:00 [106/1]

 

Mrs. Louiza Mallaev

louizamal (at) walla (dot) com

Thu 14:00-15:00 [409/8]

   
  Announcements  New  
     

[02.11.2011] There is a Google platform based discussion group for the students of Prof. Eugene Kanzieper. The discussion group is the right place to ask any course related question and/or discuss various course topics with your student fellows.

 
[16.12.2011] The Quiz will be posted here on Tuesday, Dec 20, at 12:00. Simultaneously, all participants of discussion group will automatically receive an email notification.
 
     

Copyright Notice

 

     
 

Whatever his or her university is, a student is allowed to use all course materials from this webpage for free provided the author's copyright notice is kept. No part of the lecture notes and other accompanying materials may be reproduced or stored in a retrieval system other than this homepage, or transmitted, in any form or by any means, without the prior permission of the author.

 
     
     

Lecture Notes with In-Classes Exercises, Homeworks and Solutions

 

     
 

General Course Information

 

Official Syllabus Formulae and Tables  NEW VERSION !!

               

Additional Handouts

  Series       
           
  Brief History of Probability Lecture 00          
Algebra of Events       Lecture 01 Classes 01 Homework 01 Solutions 01  
Conditional Probability       Lecture 02 Classes 02 Homework 02 Solutions 02  
Combinatorics       Lecture 03 Classes 03 Homework 03 Solutions 03  
Single Discrete RV       Lecture 04 Classes 04 Homework 04 Solutions 04  
Special Discrete Distributions       Lecture 05 Classes 05 Homework 05  Solutions 05  
                 
Midterm Exam       Midterm A  Midterm B        Midterm C 
           
Bi-variate Discrete RV and Regression       Lecture 06 Classes 06 Homework 06 Solutions 06  
Continuous RV       Lecture 07 Classes 07 Homework 07 Solutions 07  
Central Limit Theorem       Lecture 08 Classes 08 Homework 08 Solutions 08  
  Estimation Theory, I       Lecture 09 Classes 09 Homework 09 Solutions 09    
Estimation Theory, II       Lecture 10 Classes 10 Homework 10 Solutions 10  
  Hypotheses Testing (Computer Science Track)      

Lecture 11

Classes 11

Homework 11

Solutions 11    
                 

Remarks: (c) - corrected file;  (n) - new (recently added) file

             
                 
 

This Year Final Examination

 
           
         
         
         
                   
         
 

Collection of Midterm Exams

 
               

Applied Maths & CS Track

  Midterm A     (2008/2009 - summer)

Applied Maths & CS Track

  Midterm A     (2008/2009)

Applied Maths & CS Track

  Midterm A     (2008/2009)

Applied Mathematics Track

  Midterm A     (2007/2008)

Applied Mathematics Track

        (2006/2007)

Applied Mathematics Track

  Midterm A     (2005/2006)

Applied Mathematics Track

  Midterm A     (2004/2005)
           

Electrical Engineering Track

  Midterm A Midterm B   (2008/2009)

Electrical Engineering Track

  Midterm A     (2007/2008)

Electrical Engineering Track

        (2006/2007)

Electrical Engineering Track

  Midterm A Midterm B   (2005/2006)

Electrical Engineering Track

  Midterm A Midterm B    (2004/2005)
               
                 
 

Collection of Final Exams from Previous Years

 
               

Applied Maths & CS Track

  Final Exam A Final Exam B   (2008/2009 - summer)

Applied Maths & CS Track

  Final Exam A Final Exam B   (2008/2009)

Applied Mathematics Track

  Final Exam A     (2007/2008)

Applied Mathematics Track

  Final Exam A Final Exam B   (2006/2007)

Applied Mathematics Track

  Final Exam A Final Exam B (none) (2005/2006)

Applied Mathematics Track

  Final Exam A Final Exam B (none) (2004/2005)
           

Electrical Engineering Track

  Final Exam A Final Exam B Final Exam C (2010/2011)

Electrical Engineering Track

  Final Exam A Final Exam B   (2008/2009)

Electrical Engineering Track

  Final Exam A Final Exam B   (2007/2008 - summer)

Electrical Engineering Track

  Final Exam A Final Exam B Final Exam C (2007/2008)

Electrical Engineering Track

  Final Exam A   Final Exam C (2006/2007)

Electrical Engineering Track

  Final Exam A Final Exam B Final Exam C  (2005/2006)

Electrical Engineering Track

  Final Exam A Final Exam B  (none) (2004/2005)

Electrical Engineering Track

  Final Exam A Final Exam B  Final Exam C  (2003/2004)

Electrical Engineering Track

  Final Exam A Final Exam B Final Exam C

(2002/2003)

               
               
 

Other Web Resources

 
     

J. Aldrich

  Figures from the History of Probability and Statistics (extensive online resource)

P. J. Cameron

  Notes on Probability (course for maths students at Queen Mary, London)

C. M Grinstead and J. L. Snell

  Introduction to Probability (more advanced course) 

D. Piele

  Mathematica (R) Notebooks for the Grinstead-Snell Course (software needed)

Applets on the web

  Virtual Laboratories in Probability and Statistics (highly recommended) 
     
     
 

Department of Applied Mathematics, Faculty of Sciences, H.I.T. - Holon Institute of Technology, Holon 58102, Israel

 
     

Eugene Kanzieper (c) 2004-2011