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A continuation of Calculus I (MAT1475). Topics include integration (i.e. finding anti-derivatives and evaluating definite integrals) using integration by parts, trigonometric substitution, and the technique of partial fractions; and using integration to calculate volumes of solids of revolution, areas, and arc lengths.

A continuation of Calculus I (MAT1475). Topics include integration (i.e. finding anti-derivatives and evaluating definite integrals) using integration by parts, trigonometric substitution, and the technique of partial fractions; and using integration to calculate volumes of solids of revolution, areas, and arc lengths.

This is a first course in calculus. Topics include functions, limits, differentiation, tangent lines, L’Hôpital’s Rule, the Fundamental Theorem of Calculus, and applications.

This is a first course in calculus. Topics include functions, limits, differentiation, tangent lines, L’Hôpital’s Rule, the Fundamental Theorem of Calculus, and applications.

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 Mat Che: https://www.flickr.com/photos/mcinteractivity/

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 Mat Che: https://www.flickr.com/photos/mcinteractivity/

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

An introductory course in statistics and probability. Topics covered include descriptive statistics, sample spaces and probabilities, discrete probability distributions, expectation and variance, continuous probability distributions, confidence intervals, hypothesis testing, and correlation and linear regression. Spreadsheets are used throughout the semester.

An introductory course in statistics and probability. Topics covered include descriptive statistics, sample spaces and probabilities, discrete probability distributions, expectation and variance, continuous probability distributions, confidence intervals, hypothesis testing, and correlation and linear regression. Spreadsheets are used throughout the semester.