MAT3027 – PROBABILITY AND RANDOM VARIABLES – BAU

MAT3027 – PROBABILITY AND RANDOM VARIABLES – BAU – Fall 24/25

By Ahmed Saeed Categories: Engineering

About Course

The objective of this course is learning foundations of probability theory and modelling and analysis of random events encountered in (industrial) engineering applications.

Course Content

Chapter 1 – Combinatorial Analysis
The basic principle of counting

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.

Chapter 3 – Random Variable
This chapter discuses the concept of random variable and expectation value.

Chapter 4 – Joint R.V

Student Ratings & Reviews

No Review Yet

MAT3027 – PROBABILITY AND RANDOM VARIABLES – BAU – Fall 24/25

About Course

Course Content

Chapter 1 – Combinatorial Analysis
The basic principle of counting

Lecture 1 – Part_1

Lecture 1 – Part_2

Chapter 2 – Introduction to Probability
The objective of this chapter is studying the main concepts of probability.

Lecture 2 – Axioms of Probability

Lecture 3 _Part I – Conditional Probability and Independents of Events.

Lecture 3_Part II – Total Probability Rule and Bay’s Rule.

Chapter 3 – Random Variable
This chapter discuses the concept of random variable and expectation value.

Lecture 4_Part I – Discreet Random Variable.

Lecture 4_Part II – Continuous Random Variable

Lecture 5_Part 1-Expection Value of R.V

Lecture 5_Part 2-Variance and Covarince

Lecture 6_Part 1-Special Distribution

Lecture 7 – Part 1 – Special Continues Distbuation

Lecture 7 – Part 2 – Special Continues Distbuation

Lecture 7 – Part 3 – Special Continues Distbuation

Chapter 4 – Joint R.V

Lecture 8 – Part 1

Lecture 8 – Part 2

Lecture 8 – Part 3

Lecture 9 – Part 1

Lecture 9 – Part 2

About Course

Course Content

Chapter 1 – Combinatorial Analysis The basic principle of counting

Lecture 1 – Part_1

Lecture 1 – Part_2

Chapter 2 – Introduction to Probability The objective of this chapter is studying the main concepts of probability.

Lecture 2 – Axioms of Probability

Lecture 3 _Part I – Conditional Probability and Independents of Events.

Lecture 3_Part II – Total Probability Rule and Bay’s Rule.

Chapter 3 – Random Variable This chapter discuses the concept of random variable and expectation value.

Lecture 4_Part I – Discreet Random Variable.

Lecture 4_Part II – Continuous Random Variable

Lecture 5_Part 1-Expection Value of R.V

Lecture 5_Part 2-Variance and Covarince

Lecture 6_Part 1-Special Distribution

Lecture 7 – Part 1 – Special Continues Distbuation

Lecture 7 – Part 2 – Special Continues Distbuation

Lecture 7 – Part 3 – Special Continues Distbuation

Chapter 4 – Joint R.V

Lecture 8 – Part 1

Lecture 8 – Part 2

Lecture 8 – Part 3

Lecture 9 – Part 1

Lecture 9 – Part 2

Student Ratings & Reviews

Chapter 1 – Combinatorial Analysis
The basic principle of counting

Chapter 2 – Introduction to Probability
The objective of this chapter is studying the main concepts of probability.

Chapter 3 – Random Variable
This chapter discuses the concept of random variable and expectation value.