This is a list of all courses offered by the Math Department.  Not all courses are offered each year.  What is provided is a general description of the courses and the prerequisites.  The actual content may vary.

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This is an introductory course in statistics teaching basic concepts and techniques and applications of these techniques to different fields.


1 course with a minimum grade of C- from (STAT400, STAT410).

Level of Rigor


Sample Textbooks

Probability and Statistics for Engineering and the Sciences, by J. Devore


Computer Science (artificial Intelligence, pattern recognition, and neural networks)

Philosophy (epistemology, inference)

Economics (econometrics)

Business (optimal resource-allocation, routing and scheduling, inventory or portfolio management,  forecasting of macroeconomic and market conditions, statistical methods of quality control,  statistical methods of sampling and auditing)

If you like this course, you might also consider the following courses

Additional Notes


Refresher mini-course in probability

Basic distributions

Central limit theorem

Law of large numbers

Interval estimation in small and large samples

Hypothesis testing

Basic concepts

Testing for normal population


Analysis of variance


Single and multifactor analysis


Regression and correlation

Least squares method

Inference for regression parameters

Analysis of categorical data

Elements of nonparametric methods