MAT3026-PROBABILITT AND STATISTICS-BAU-Fall 24/25

About Course

Topics in probability and statistics are introduced through their definitions leading to the development of basic probabilistic and statistical tools. Emphasis is placed on using these tools to solve engineering problems and to make informed decisions. The students who have succeeded in this course will have a basic understanding of the fundamental concepts of probability and statistics, will gain mathematical tools and procedures for solving problems and decision-making in science, engineering, production and finance.

Course Content

Chapter 1 – Introduction to counting and probability
The main objective of this chapter is to knowing the main concepts of couniting and probability.

Lecture 1 – Introduction / Counting / Probability

01:10:35
Lecture 2&3 -(Rules of Probability / Independence) & (The Reliability Block Diagram)

01:39:54
Lecture 4 _Part I – Conditional Probability and Independents of Events.

27:08
Lecture 4_Part II – Total Probability Rule and Bay’s Rule.

38:07

Chapter 2 – Random Variable and Special Distributions
The objective of this chapter is to study the definition of random variable with two types which is discreet random variable and continuous random variable, then discussion of pmf and pdf with CDF. Finaly this chapter discuss the expectation values and variance, then we apply all these topics on special distributions.

Revision for Midterm
Revision on all topics before midterm.

Sampling and Confidence intervals

Lecture 10 _Patr 1 – Sampling

32:47
Lecture 10 _Patr 2 – Sampling Distrbuation

35:56
Lecture 11 _Patr 1 – Testing Hypotheses

31:28
Lecture 11 _Patr 2 – Testing Hypotheses

23:53
Lecture 12 _Patr 1

37:31
Lecture 12 _Patr 2

00:00
Lecture 13 _Patr 1

36:32
Lecture 13 _Patr 2

21:11
Lecture 14 _Patr 1

34:14
Lecture 14 _Patr 2

16:10

Revision for Final

Student Ratings & Reviews

No Review Yet

MAT3026-PROBABILITT AND STATISTICS-BAU-Fall 24/25

About Course

Course Content

Chapter 1 – Introduction to counting and probability
The main objective of this chapter is to knowing the main concepts of couniting and probability.

Lecture 1 – Introduction / Counting / Probability

Lecture 2&3 -(Rules of Probability / Independence) & (The Reliability Block Diagram)

Lecture 4 _Part I – Conditional Probability and Independents of Events.

Lecture 4_Part II – Total Probability Rule and Bay’s Rule.

Lecture 5_Part I – Discreet Random Variable.

Lecture 5_Part II – Continues Random Variable.

Lecture 6 _Patr 1 – Geometric Distribution

Lecture 6 _Patr 2 – Hypergeometric Distribution

Lecture 7 – Part_1-Binomial Dist.

Lecture 7 _Patr 2-Poisseoin Dist.

Lecture 9 _Patr 1 – Special Continuous Distrubutions

Lecture 9 _Patr 2 – Special Continuous Distrubutions

Revision for Midterm
Revision on all topics before midterm.

Lecture 8 _ Revision 1

Lecture 8 _ Revision 2

Lecture 8 _ Revision 3

Sampling and Confidence intervals

Lecture 10 _Patr 1 – Sampling

Lecture 10 _Patr 2 – Sampling Distrbuation

Lecture 11 _Patr 1 – Testing Hypotheses

Lecture 11 _Patr 2 – Testing Hypotheses

Lecture 12 _Patr 1

Lecture 12 _Patr 2

Lecture 13 _Patr 1

Lecture 13 _Patr 2

Lecture 14 _Patr 1

Lecture 14 _Patr 2

Revision for Final

Revision-Part_1

Revision-Part_2

About Course

Course Content

Chapter 1 – Introduction to counting and probability The main objective of this chapter is to knowing the main concepts of couniting and probability.

Lecture 1 – Introduction / Counting / Probability

Lecture 2&3 -(Rules of Probability / Independence) & (The Reliability Block Diagram)

Lecture 4 _Part I – Conditional Probability and Independents of Events.

Lecture 4_Part II – Total Probability Rule and Bay’s Rule.

Lecture 5_Part I – Discreet Random Variable.

Lecture 5_Part II – Continues Random Variable.

Lecture 6 _Patr 1 – Geometric Distribution

Lecture 6 _Patr 2 – Hypergeometric Distribution

Lecture 7 – Part_1-Binomial Dist.

Lecture 7 _Patr 2-Poisseoin Dist.

Lecture 9 _Patr 1 – Special Continuous Distrubutions

Lecture 9 _Patr 2 – Special Continuous Distrubutions

Revision for Midterm Revision on all topics before midterm.

Lecture 8 _ Revision 1

Lecture 8 _ Revision 2

Lecture 8 _ Revision 3

Sampling and Confidence intervals

Lecture 10 _Patr 1 – Sampling

Lecture 10 _Patr 2 – Sampling Distrbuation

Lecture 11 _Patr 1 – Testing Hypotheses

Lecture 11 _Patr 2 – Testing Hypotheses

Lecture 12 _Patr 1

Lecture 12 _Patr 2

Lecture 13 _Patr 1

Lecture 13 _Patr 2

Lecture 14 _Patr 1

Lecture 14 _Patr 2

Revision for Final

Revision-Part_1

Revision-Part_2

Student Ratings & Reviews

Chapter 1 – Introduction to counting and probability
The main objective of this chapter is to knowing the main concepts of couniting and probability.

Revision for Midterm
Revision on all topics before midterm.