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Course Content
Chapter 1 – Combinatorial Analysis
The basic principle of counting
0/2
Lecture 1 – Part_1
37:08
Lecture 1 – Part_2
22:23
Chapter 2 – Introduction to Probability
The objective of this chapter is studying the main concepts of probability.
0/3
Lecture 2 – Axioms of Probability
01:31:06
Lecture 3 _Part I – Conditional Probability and Independents of Events.
36:14
Lecture 3_Part II – Total Probability Rule and Bay’s Rule.
37:53
Chapter 3 – Random Variable
This chapter discuses the concept of random variable and expectation value.
0/8
Lecture 4_Part I – Discreet Random Variable.
38:06
Lecture 4_Part II – Continuous Random Variable
35:10
Lecture 5_Part 1-Expection Value of R.V
30:48
Lecture 5_Part 2-Variance and Covarince
34:03
Lecture 6_Part 1-Special Distribution
33:33
Lecture 7 – Part 1 – Special Continues Distbuation
26:27
Lecture 7 – Part 2 – Special Continues Distbuation
33:12
Lecture 7 – Part 3 – Special Continues Distbuation
27:46
Chapter 4 – Joint R.V
0/8
Lecture 8 – Part 1
37:02
Lecture 8 – Part 2
10:51
Lecture 8 – Part 3
24:37
Lecture 9 – Part 1
36:50
Lecture 9 – Part 2
11:05
Lecture 10 – Part 1
05:23
Lecture 10 – Part 2
37:06
Lecture 11
31:29
MAT3027 – PROBABILITY AND RANDOM VARIABLES – BAU – Fall 24/25
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Introduction and Basic Counting Techniques

Exercise Files
LectureSlides#1.pdf
Size: 1.61 MB
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