Learn how to find and use OER materials in teaching and learning.

- How to Think Like a Computer Scientist: C++ VersionThe single most important skill for a computer scientist is problem solving. The goal of this book is to teach you to think like a computer scientist.
- How to Think Like a Computer Scientist: Learning with PythonThe goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. The single most important skill for a computer scientist is problem solving. As it turns out, the process of learning to program is an excellent opportunity to practice problem solving skills using Python programming.
- Physical Modeling in MATLABAn introduction to programming in MATLAB and simulation of physical systems.
- Think OS: A Brief Introduction to Operating SystemsAn introduction to Operating Systems for programmers. Includes material from operating systems, networks, databases, and embedded systems, but it emphasizes the topics programmers need to know.
- Think Python How to Think Like a Computer ScientistAn introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression.

- Collaborative Statistics - Open Textbook LibraryThis textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.
- Introductory Statistics - Open Textbook LibraryThis book is meant to be a textbook for a standard one-semester introductory statistics course for general education students.
- OpenIntro Statistics (4th edition)Introduces students to the discipline of statistics as a science of understanding and analyzing data. Students learn how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
- Statistics - OpenStaxFollows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory.

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