ENGR 211 - Statistics and Probability for Engineers
Fall Quarter 1993

Textbooks:	I. Miller, J. E. Freund and R. A. Johnson, Probability and Statistics for Engineers, 4th Ed., Prentice-Hall, 1990.
Goals:	This course teaches and prepares engineering sophomores the statistical methods in data analysis and basic probability theory for engineering applications.

References:

Prerequisites by Topic:

1. Fundamental theorem of the calculus; methods of integration.
2. Fundamental concepts and techniques in fields of algebra.
3. Ability to use computer programs.

Topics:

1. Treatment of data: Collection and description of data; frequency distribution, histogram; descriptive measures: mean, median, mode and variance for grouped and ungrouped data. (3 hours)
2. Probability: sample spaces, events and counting. The axioms and some elementary theorems, conditional probability, Bayes' theorem, mathematical expectation and application in engineering decision making. (5 hours)
3. Probability distributions and densities: continuous and discrete random variables; geometric, binomial, Poisson, uniform, exponential, and the Normal distributions; mean and variance of distributions. Introduction to simulation techniques. (10 hours)
4. Examination (4.5 hours), including final examination.

Computer Usage:

Abet category content as estimated by the faculty member who prepared this course description: Mathematics: 2 credits or 100%

Prepared by: R. Jeng
Date: January 1994