The modern landscape of technology and industry demands an equally modern approach to differential equations in the classroom. Designed for a first course in differential equations, the...

This course is a compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include descriptive statistics, probability, inference, correlation,...

A long time ago, in a university far far away…Star tistics: Episode IV – A new Hope. As a struggling biology student I resigned myself to the fact: “I will never be able to...

This course covers advanced topics in numerical methods, focusing on techniques for solving differential equations, optimization problems, and interpolation. Students will learn how to...

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication,...

The book is a step-by-step guide to derivative products. By distilling the complex mathematics and theory that underlie the subject, Chisholm explains derivative products in straightforward...

Features the classical themes of geometry with plentiful applications in mathematics, education, engineering, and scienceAccessible and reader-friendly, Classical Geometry:...

An introduction to semi-Riemannian geometry as a foundation for general relativity Semi-Riemannian Geometry: The Mathematical Language of General Relativity is an accessible exposition of...

Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposalUseful as a main resource or as...

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear...

Elementary Linear Algebra: Applications Version, 11th Edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students.  The aim is...

Praise for the First Edition". . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises."—Zentralblatt MATH"....

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in...

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical...

This is the capstone project for UC Santa Cruz's Bayesian Statistics Specialization. It is an opportunity for you to demonstrate a wide range of skills and knowledge in Bayesian statistics and...

Praise for the Third Edition ". . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail." ...

Praise for the Third Edition". . . an expository masterpiece of the highest didactic value that has gained additional attractivity through the various improvements . . ."—Zentralblatt...

Praise for the Third Edition". . . an expository masterpiece of the highest didactic value that has gained additional attractivity through the various improvements . . ."—Zentralblatt...

Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either...

As an instructor at the University of Tulsa, Christopher Swenson could find no relevant text for teaching modern cryptanalysis-so he wrote his own. This is the first book that brings the study...