MATH 240

Course Code & Number

MATH 240

Course Title

Introduction to Probability and Statistics for Engineers

Level

BS

Credit Hours/ ECTS Credits

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Semester:

Spring

Type of Course:

Compulsory

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite:

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

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.