Best Probability Course |افضل شرح احتمالات اسلام عبد المقصود
4.3 (320 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
833 students enrolled

Best Probability Course |افضل شرح احتمالات اسلام عبد المقصود

هتفهم يعني هتفهم :D
4.3 (320 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
833 students enrolled
Last updated 12/2017
Arabic
Current price: $69.99 Original price: $99.99 Discount: 30% off
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This course includes
  • 13.5 hours on-demand video
  • 14 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Solve different sets of problems in the probability course
Requirements
  • Basic Mathematics
Description

طلاب كتير في الكليات بيواجهوا مشكلة في كورس الاحتمالات .. مشكلة في الفهم والقدرة على الحل .. في الكورس ده هتلاقي طرق شرح توصلك المعلومة عشان تفهم بعضها مش هتلاقيها في أي كورس تاني عربي أو اجنبي 

اThe course covers the following: 

- The concept of probability & laws of probability

- Counting Techniques

- Conditional Probability

- Discrete & Continuous Random Variables

- Understanding Some Known Probability Distributions (Binomial - Geometric - Exponential - Erlang - Normal)

- Bivariate Random Variables

Who this course is for:
  • Different university students studying the Probability Course
Course content
Expand all 171 lectures 13:22:33
+ Class Lecture 1- Introduction to Probability Theory
11 lectures 01:03:00
The concept of Probability
05:42
Examples of finding the sample space
09:19
A new way to calculate probability for specific problems
08:52
Exercise
02:40
Combining Events
03:04
Laws of Probability
03:53
Axioms of Probability
08:23
Exercise
06:36
+ Class Lecture 2 - Counting Techniques
17 lectures 49:06
1-Motivation to Counting Techniques
04:31
2-Multiplication Law
02:21
3-Addition Law
02:08
4-Two Types of Problems
01:17
5-Rearrangement 1
05:35
6-Rearrangement 2
04:43
7-Rearrangement 3
03:50
8-Rearrangement 4
01:43
9-Rearrangement Summary
00:41
10-Sampling With Replacement
03:34
11-Difference between Ordered & Unordered Problems
03:27
12-Ordered Rule
03:24
13-Unordered Rule
03:29
14-Ordered Revisited
03:26
15-Exercise
01:33
16-Exercise
03:22
+ Class Lecture 3 - Counting Techniques (Cont.)
11 lectures 50:51
1-Summary of Counting Techniques
07:47
pdf of Class Lecture 3
00:02
2-A note about sampling without replacement
03:42
3-Multi-source Sampling
04:54
4-Exercise
06:37
5-A note
05:36
6-The Code Problem
02:59
7-The Code Problem Extended
02:59
8-Exercise
02:03
9-Exercise
11:05
10-Exercise
03:07
+ Class Lecture 4 - Conditional Probability
9 lectures 49:36
1- Motivation 1 - Filtering of Spam Messages
07:19
2- Motivation 2 - We need a new way to calculate probabilities
03:53
pdf of Class Lecture 4
00:02
3- Law of Conditional Probability
04:27
4- Multiplication Law
05:05
5- Using Multiplication Law to Calculate Probabilities
02:07
6- Exercise
11:47
7- Independent Events
08:55
8- Exercise
06:01
+ Class Lecture 5 - Conditional Probability (Cont.)
10 lectures 56:59
1
03:40
2
00:46
3
06:11
4
12:18
5
08:58
6
05:38
7
04:49
8
05:40
9 - Reliability Circuits
08:57
+ Class Lecture 6 - Discrete Random Variables
20 lectures 01:02:40
1- Meaning of a Random Variable
02:25
2- Probability Mass Function (pmf)
08:58
3- Cumulative Distribution Function (cdf)
04:00
4- Exercise
05:01
5- Exercise
01:16
6- Mean of a Random Variable
04:56
7- Variance of a Random Variable
06:31
8- E(X) Properties (1)
02:46
9- E(X) Properties (2)
01:16
10- E(X) Properties (3)
00:57
11- E(X) Properties (4)
01:14
12- Simplification of Var(X)
02:13
13- Exercise
02:19
14- Rules for E(X), Var(X) and Std(X)
05:09
15- Exercise (i)
03:25
16- Exercise (ii)
04:24
17- Exercise (iii)
02:35
18- Exercise (iv)
00:56
19- Exercise (v)
02:17
+ Descriptive Review
9 lectures 01:03:21
1
07:51
2
18:04
3
05:20
4
02:35
5
06:45
6
03:47
7
10:05
8
03:26
9
05:28
+ Revision - Solving problems
20 lectures 01:15:39
pdf of Revision Problems
00:01
1
05:51
2
07:13
3
08:53
4
03:30
5
04:05
6
02:28
7
05:26
8
01:21
9
02:55
10
05:52
11
04:33
12
01:30
13
03:58
14
04:37
15
03:01
16
02:01
17
04:27
18
01:35
19
02:22
+ Class Lecture 7 - Special Discrete Distributions
11 lectures 45:22
Quick Review
02:00
Motivation to Two Basic Distributions
08:51
Binomial Distribution
07:06
4- Exercise
04:18
5- Geometric Distribution
07:04
6- Exercise
02:32
7- Exercise
04:20
8- Continue last exercise
02:30
9- Exercise
02:38
10- Bernoulli Distribution
04:01
+ Class Lecture 8 - Poisson Distribution + Continuous R.Vs
7 lectures 42:29
1- Motivation to Poisson Distribution
12:21
2- Expectation & Variance + Exercise
09:08
3- Exercise
05:27
4- Using Poisson as Approximation to Binomial
04:28
5- Superposition of Poisson
08:38
6- Poisson Distribution Discrete or Continuous ??
02:25