List of Courses

Information
Description
Outcomes
Contents
Methodologies
Assessment
Books

Probability and Statistics (Math 6)

Course Code :
MTH 312
Level :
Undergraduate
Course Hours :
3.00 Hours
Department :
Department of Electrical Engineering

Instructor information :

Title:Lecturer
Name: Basma Magdy Ahmed Mohamed
Office hours:2-Hours

Title:Teaching Assistant
Name: Salma Motaz Fouad Ali El Sherif
Office hours:-Hours

Area of Study :

Demonstrate a conscious understanding of the concepts of mathematical expressions of statistical Science Develop students’ mathematical skills for basic inferential statistical studies. Acquire skills for the application of statistic methods to the solution of electrical engineering problems.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Descriptive statistics and data analysis, Introduction to probability theory, conditional probability, Bayes theorem, Random variables and probability distribution, Discrete and continuous random variables, Mathematical expectation of random variables and some special expectation, Some discrete probability distribution (Binomial and poisson). Some continuous distribution (Normal distribution, t-distribution), Introduction to estimation and tests of hypothesis. Correlation analysis, applied statistics.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Course outcomes:

a. Knowledge and Understanding:

1-	Describe random variables, discrete and continuous distributions.
2-	Define samples and population measures (point and interval estimate).
3-	Recognize the fundamental features of the probability theory, and other statistical topics.
4-	Distinguish the meaning of conditional probability and its application.

b. Intellectual Skills:

1-	Summarize Statistical concepts essential and necessary for applications in electrical engineering problems.
2-	Think logically and creatively to apply random theory in the solution of Electrical Engineering Problems.
3-	Analyze the appropriate method for the solutions of statistical engineering problems using convenient methods.

c. Professional and Practical Skills:

1-	Use the different data to obtain objective conclusions.
2-	Apply a mathematical technique to solve electrical engineering problems.

d. General and Transferable Skills:

1-	Communicate effectively.
2-	Effectively manage tasks, time and resources

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Course topics and contents:

Topic	No. of hours	Lecture	Tutorial/Practical
Descriptive statistics and data analysis. Definitions and concepts.	10	6	4
Probability Introduction to probability theory, conditional probability, Bayes theorem	10	6	4
Random variables and probability distribution: Discrete and continuous random variables	10	6	4
Mathematical expectation of random variables and some special expectation.	10	6	4
Some discrete probability distribution (Binomial and Poisson).	10	6	4
Some continuous distribution (Normal distribution).	10	6	4
Introduction to Estimation and Tests of Hypothesis	10	6	4
Correlation analysis	5	3	2

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lecture
Discussion
Problem-based Learning
Report

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Course Assessment :

Methods of assessment	Relative weight %	Week No.	Assess What
Assignment	10.00	1	To assess lecture material comprehension
Final Exam	40.00	16	To assess understanding and problem solving skills
Mid- Exam I	15.00	7	To assess understanding and problem solving skills
Mid- Exam II	15.00	12	To assess understanding and problem solving skills
Quizzes	10.00	2

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Probability and Statistics (Math 6)

Books:

Book	Author	Publisher

Course notes :

Handout

Recommended books :

• WARREN S. WRIGHT, DENNIS G. ZILL, “Advanced Engineering Mathematics “, Jones &Bartlett Learning Publisher Fifth Edition. • EARL W. SWOKOWSKI, “Calculus with Analytic Geometry”, PWS Publishers, alternate Edition, 1983.