To introduce the basic concepts and engineering applications of probability and statistics. The course introduces the set theory, basic concepts of probability, conditional probability, independent events, Bayes’ theorem, discrete and continuous random variables, distributions and density functions, probability distributions (binomial, poisson, geometric, hyper geometric, N.B, poisson, uniform, normal and exponential), mean, variance , standard deviations, moments and moment generating functions. Linear regression, correlation and Curve fitting.
Catalog Data: Course Code: STAT22
Course Title: Engineering Probability and Statistics
Credit Hours: 3+0 (3)
No of Sessions per week: 2 (Total 32 sessions)
Session Duration: 90 min
Textbook:
References:
Course Learning Outcome (CLO): Upon successful completion of this course, the student will be able to:
CLO No 
Course Learning Outcome (CLO) Statements 
Assessment Tool 
CLO1 
Understand the purpose of statistics, set theory, and probability theory in the engineering field. 
Assignment 1, Mid Term (8marks)

CLO2 
Understand the concept of Conditional probability, events, and discrete and continuous random variables. Also, they will be able to use Bayes’ theorem in different engineering fields. 
Mid Term (12 marks), Assignment, 2 , Quiz Final Term Part 1 
CLO3 
Compute the mean, variance, moments and moment generating functions of different discrete probability distributions (Binomial, Geometric, Hypergeometric, Poisson, and N.B) 
Mid Term (10 Marks), Assignment, 3, Quiz 1, Final Term Part 2 
CLO4 
Compute the mean, variance, moments and moment generating functions of different continuous probability distributions (normal and exponential). Also will be able to understand the uses of linear regression and curve fitting. 
Assignment, 4, Final Term Part 3 
Evaluation Criteria:
1. Assignments 15%
2. Quizzes 05%
3. MidTerm Exam 30%
4. Final Exam 50%