Course Code & Number
MATH 240
Course Title
Introduction to Probability and Statistics for Engineers
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 101 OR MATH 114-O
Co-requisites: NONE
Catalog Description
Basic concepts of probability, Discrete and continuous random variables, their probability distributions, expected value, variance. Discrete probability distributions, Jointly distributed and independent Random Variables. Covariance and correlation. Sampling, estimation. Hypothesis Testing and Regression.
Course Learning Outcomes
1) Compute probabilities by modeling sample spaces and applying rules of permutations and combinations, independency and conditional probability
2) Construct the probability distribution of a discrete random variable, based on a real-world situation
3) Identify the random variable(s) of interest in a given scenario
4) Find expected values and variances of both discrete and continuous random variables
5) Demonstrate knowledge of joint probability distributions
6) Find estimators for unknown parameters of distribution using mathematical methods; such as the Method of Moments and the Method of Maximum Likelihood
7) Demonstrate ability to do interval estimation for parameters of distribution/population
8) Demonstrate ability to interpret regression and ANOVA results
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Peer Teaching
Problem Solving
Inquiry
Collaborating
Assessment Methods and Criteria:
Test / Exam
Quiz
Presentation (Oral/Poster)
Assessment Methods and Criteria Others:
Recommended Reading
Supplementary Text Books:
Probability and Statistics for Engineering and the Sciences by Jay. L. Devor
Ross, S. M., Introduction to Probability Models.
Montgomery, D. C., Runger, G. C., Applied Statistics and Probability for Engineers.
Required Reading
Textbook: Probability and Statistics for Engineers and Scientists by : Walpole, R. E., Myers, R. H., Myers S. L., Ye, K. (9th edition)
Supplementary Text Books:
Probability and Statistics for Engineering and the Sciences by Jay. L. Devor
Ross, S. M., Introduction to Probability Models.
Montgomery, D. C., Runger, G. C., Applied Statistics and Probability for Engineers.
Learning Activities and Teaching Methods Others:
Course & Program Learning Outcome Matching:
