



13930410 
July 01, 2014 09:10 PM


For those of you who have asked, the final grades have been calculated as follows:
Homework: Hw \in [0,4]
Lecture note: Ln \in [0,1.5]
Quiz: Qz \ in [0,2+0.2]
Midterm: Mt \in [0,6+0.6]
Final exam: Fn \in [0,8+0.8]
X is your raw grade which is from 23.1:
X = Hw + Ln + Qz + Mt + Fn ===> X \in [0,20+3.1]
Let "Min" and "Max" be the minimum and maximum raw grade of the whole class, respectively.
Your final grade 'FG' is calculates by the following formula:
FG = X + 2.28 * (Max  X)/(Max  Min) + (20  Max)
The minimum amount of addition to 'X' is 0.8 and the maximum amount of addition which corresponds to the minimum grade of class is about 3.1. 


13930403 
June 24, 2014 04:23 PM


Now you can see the final exam grades in the 'Grade' folder of the 'Resource' area. 


13930403 
June 24, 2014 12:51 AM


For those of you who would like to see your final exam, you could come to either my office (room CE820) or CE627 on Wednesday, 4th of Tir, between 18 and 20 o'clock. 


13930331 
June 21, 2014 12:06 AM


Apparently, one of your friends, Mr. Sabbaghian, with help of his friends, have prepared some notes for the lectures that can be found in the following links:
http://jozvejoo.ir/booklet/45/
http://jozvejoo.ir/booklet/46/
I have not checked them, but they may be helpful for you.
Good luck! 


13930321 
June 11, 2014 09:18 AM


The materials covered in the lecture from the second reference.
Ref. 2 (Ross):
Ch.1: Introduction to Probability Theory
1.1: Introduction, 1.2: Sample Space and Events, 1.3: Probabilities Defined on Events, 1.4: Conditional Probabilities, 1.5: Independent Events, 1.6 Bayesâ€™ Formula
Ch.2: Random Variables
2.1: Random Variables, 2.2: Discrete Random Variables (2.2.1: The Bernoulli Random Variable, 2.2.2: The Binomial Random Variable, 2.2.3: The Geometric Random Variable, 2.2.4: The Poisson Random Variable), 2.3: Continuous Random Variables (2.3.1: The Uniform Random Variable, 2.3.2: Exponential Random Variables, 2.3.4: Normal Random Variables), 2.4: Expectation of a Random Variable (2.4.1: The Discrete Case, 2.4.2: The Continuous Case, 2.4.3: Expectation of a Function of a Random Variable), 2.5: Jointly Distributed Random Variables (2.5.1: Joint Distribution Functions, 2.5.2: Independent Random Variables, 2.5.3: Covariance and Variance of Sums of Random Variables, 2.5.4: Joint Probability Distribution of Functions of Random Variables), 2.6: Moment Generating Functions (*), 2.8: Limit Theorems (*)
Ch.3: Conditional Probability and Conditional Expectation
3.1: Introduction, 3.2: The Discrete Case, 3.3: The Continuous Case, 3.4: Computing Expectations by Conditioning (3.4.1: Computing Variances by Conditioning) (*), 3.5: Computing Probabilities by Conditioning (*)
(*): Not completely covered but it is suggested for the reading. 


13930321 
June 11, 2014 09:20 AM


The materials covered in the lecture from the first reference.
Ref. 1 (Papoulis):
Ch.1: The Meaning of Probability
11: Introduction, 12: The Definitions, 13 Probability and Induction, 14 Causality Versus Randomness
Ch.2: The Axioms of Probability
21: Set Theory, 22: Probability Space, 23: Conditional Probability
Ch.3: Repeated Trials
31: Combined Experiments, 32: Bernoulli Trials, 33: Bernoulli's Theorem and Games of Chance(*)
Ch.4: The Concept of a Random Variable
41: Introduction, 42: Distribution and Density Functions, 43: Specific Random Variables, 44: Conditional Distributions, 45: Asymptotic Approximations for Binomial Random Variable
Ch.5: Functions of One Random Variable
51: The Random Variable g(x), 52: The Distribution of g(x), 53: Mean and Variance, 54: Moments(*), 55: Characteristic Functions
Ch.6: Two Random Variables
61: Bivariate Distributions, 62: One Function of Two Random Variables, 63: Two Functions of Two Random Variables, 64: Joint Moments, 65: Joint Characteristic Functions, 66 Conditional Distributions, 67: Conditional Expected Values
Ch.7: Sequences of Random 'Variables 243
71: General Concepts, 72: Conditional Densities, Characteristic Functions, and Normality(*), 73: Mean Square Estimation(*), 74 Stochastic Convergence and Limit Theorems(*)
Ch.8: Statistics
81: Introduction, 82: Estimation(*), 83 Parameter Estimation(*)
(*): Not completely covered but it is suggested for the reading. 


13930309 
May 30, 2014 08:55 PM


You can find some extra exercise with solutions (from Dr. Sameti's lectures) in the "Resources" area. 


13930229 
May 19, 2014 03:00 PM


For those of you who would like to see your midterm correction, you could come to my office (room 820) on Wednesday, 31st of Ordibehest, 46 pm. 


13930226 
May 16, 2014 09:36 PM


Homework #5 is now available in the "Assignments" section.
Due: 93/03/05 


13930224 
May 14, 2014 07:23 PM


The midterm grades and the grades for two homeworks are uploaded in the "Grades" folder. 


13930213 
May 03, 2014 08:29 PM


Homework #4 is now available in the "Assignments" section.
Due: 93/02/22 


13930213 
May 03, 2014 03:54 PM


The solution to the midterm exam is uploaded to the "Resource" area. 


13930201 
April 21, 2014 03:08 PM


Important!
The midterm exam will be held on Thursday, 4th of Ordibehesh of 1393, 2pm.
It will take place in Classes 102 and 103 of our department. 


13930122 
April 11, 2014 08:13 PM


The deadline for the computer assignment will be extended until Tuesday (26 of Farvardin) , midnight. The deadline is sharp and no submission will be accepted (and graded) after this time. 


13930117 
April 06, 2014 12:03 PM


Happy new year to all of you! :)
As many of you have been asking, the "computer assignment" can be done by using MATLAB, C/C++, or Java. However, using MATLAB is preferred.
A short introduction to MATLAB (which is written in Persian) can be found in the "Resources" area. 


13921223 
March 14, 2014 01:45 PM


The first computer assignment is now available in the "Assignments" section.
Due: 93/01/22 midnight
The report should be sent to the address: course.mjs@gmail.com 


13921219 
March 10, 2014 06:24 PM


Important!
The midterm exam will be held on Thursday, 4th of Ordibehesh of 1392, 2pm.
The place will be announced later. 


13921210 
March 01, 2014 04:24 PM


The TA sessions will be held on Sundays, 1213:30, in CE007, and on Wednesdays, 1213:30, in CE103. 


13930213 
May 03, 2014 08:29 PM


Homework #2 is now available in the "Assignments" section.
Due: 92/12/21 


13930213 
May 03, 2014 08:30 PM


Homework #1 is now available in the "Assignments" section.
Due: 92/12/10 


13921125 
February 14, 2014 08:57 PM


Welcome to CE181: Engineering Probability & Statistics, I hope you enjoy this course.
Mahdi Jafari 




