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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo
Egypt
Faculty of Engineering & Technology

List of Courses

Probability and Statistics (Math 6)

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

Instructor information :

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.

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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.

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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


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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

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Probability and Statistics (Math 6)

Teaching And Learning Methodologies:

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

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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

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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.

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