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In this course students will study discrete and continuous probability distributions including the Binomial, Poisson, Hypergeometric, Exponential, Chi-squared, and Normal distributions. Topics include conditional distributions, confidence intervals, chi-square goodness of fit distribution, tests for independence and randomness, and an application to queuing theory.

In this course students will study discrete and continuous probability distributions including the Binomial, Poisson, Hypergeometric, Exponential, Chi-squared, and Normal distributions. Topics include conditional distributions, confidence intervals, chi-square goodness of fit distribution, tests for independence and randomness, and an application to queuing theory.

A differential equation is an equation that relates a function to one or more of its derivatives. – The above rather boring description does little to convey just how fundamental, widespread, and amazingly effective differential equations are in describing the world around us. – Examples: Anything in motion. Also, many things that are not in motion. Also, many additional things to which the word “motion” does not really apply. – Further examples: spaceships in orbit, populations growing and shrinking, a cup of coffee slowly cooling, springs bouncing, financial markets rising and falling, electrical current flowing through a circuit, ocean waves, sound waves, light waves, vibrations in musical instruments and airplane wings and suspension bridges, – More examples: Pretty much everything. Topics include methods of solving ordinary differential equations and applications to various problems. Course Avatar and Site Header from a photo by Flickr user darkdenver (Steven Bratman): https://www.flickr.com/photos/darkdenver/

A differential equation is an equation that relates a function to one or more of its derivatives. – The above rather boring description does little to convey just how fundamental, widespread, and amazingly effective differential equations are in describing the world around us. – Examples: Anything in motion. Also, many things that are not in motion. Also, many additional things to which the word “motion” does not really apply. – Further examples: spaceships in orbit, populations growing and shrinking, a cup of coffee slowly cooling, springs bouncing, financial markets rising and falling, electrical current flowing through a circuit, ocean waves, sound waves, light waves, vibrations in musical instruments and airplane wings and suspension bridges, – More examples: Pretty much everything. Topics include methods of solving ordinary differential equations and applications to various problems. Course Avatar and Site Header from a photo by Flickr user darkdenver (Steven Bratman): https://www.flickr.com/photos/darkdenver/