Used by 185,415 students in 9,739 courses

Description: CSAwesome is a College Board endorsed curriculum for AP Computer Science A, an introductory college-level computer programming course in Java, by Barbara Ericson, University of Michigan; Beryl Hoffman, Elms College; and Peter Seibel, Berkeley High School.

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Used by 23,764 students in 1,874 courses

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Used by 23,497 students in 1,377 courses

Description: Mobile Computer Science Principles (Mobile CSP) is an NSF-funded effort to provide a broad and rigorous introduction to computer science based on MIT's App Inventor, a programming language for creating apps for mobile devices. Mobile CSP is a program of the Northern Lights Collaborative for Computing Education. Mobile CSP is an approved curriculum provider for the College Board's Advanced Placement (AP) Computer Science Principles curriculum framework for introductory computer science

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By: Mobile CSP

Used by 1,632 students in 96 courses

Description: Computer Science Education Week will be December 5-11, 2022. High school computer science educators and their students are invited to participate in the Hour of AI Education during CSEdWeek. In the Mobile CSP Alexa in Space Hour of AI mini-unit, students explore AI concepts and create Alexa skills to help inexperienced space travelers, such as tourists, complete everyday tasks in a microgravity environment. This unit is available through a free interactive e-book. The Mobile CSP Hour of AI will consist of 4 lessons that can be used in CS classrooms.

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Used by 234 students in 28 courses

Description: BHS Awesome is an adaptation by Peter Seibel of CSAwesome for use at Berkeley High School. CSAwesome is a College Board endorsed curriculum for AP Computer Science A, an introductory college-level computer programming course in Java, by Barbara Ericson, University of Michigan; Beryl Hoffman, Elms College; and Peter Seibel, Berkeley High School.

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Used by 5 students in 1 course

Description: Advanced High School Statistics

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Used by 658 students in 3 courses

Description: This book will help you get the most out of the features of Runestone Academy.

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Used by 564 students in 1 course

Description: This short book shows off the capabilities of Runestone textbooks. It can also help you write your own Runestone books as each example contains the Runestone (RST) source for that example. This is a better place to start than the Instructor or Author guide books.

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Used by 163 students in 1 course

Description: This is a good second stop, after you look at the overview, to find out all of the different options available for each of the directives.

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Used by 39 students in 1 course

Description: This is a book written in PreTeXt, in order to provide testing for a variety of purposes, not least a conversion to Runestone Academy.

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Used by 926 students in 64 courses

Description: An extension of the Foundations of Python Programming book to include ethics and interactivity, and with a focus on helping students think about how the computer would execute each line of code.

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Used by 25,696 students in 1,020 courses

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Used by 2,602 students in 24 courses

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Used by 321 students in 22 courses

Description: This text introduces the field of complexity science which uses computation to explore the physical and social sciences. It employs graphs, cellular automata, and agent-based models to study interdiciplinary applications in physics, biology, and economics.

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Used by 155 students in 23 courses

Description:

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By: Mark Guzdial

Used by 278 students in 19 courses

Description: Computing for Creative Expression

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Used by 212 students in 17 courses

Description: Computings impact on Justice: From Text to the Web

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Used by 30,190 students in 808 courses

Description: The Second Edition. You are better off using the 3rd now.

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Used by 11,560 students in 434 courses

Description:

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Used by 3,562 students in 247 courses

Description: The understanding of data structures and algorithms is central to understanding computer science. Presented in C++, this textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. We cover abstract data types and basic data structures, writing algorithms to solve problems, as well as using data structures to solve classic problems. The first chapter offers a review of basic C++, so this book is most appropriate for use after either a first programming course in C++ or after first programming course in any language.

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By: Brad Miller, David Ranum, Roman Yasinovskyy, J. David Eisenberg

Used by 982 students in 67 courses

Description: A solid introduction to algorithms and data structures. Not overly rigorous to keep it very accessible and practical. This book covers the basics very well plus one advanced topic to augment most chapters if you need them. Designed for a 15 week semester (without advanced topics) as a second course in CS, but very adaptable for other schedules. This is a new book. Please send any feedback to David Eisenberg, david.eisenberg@evc.edu

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Used by 676 students in 7 courses

Description: A Spanish language translation of pythonds second edition. - We need a Spanish speaking maintainer to help with this title!

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Used by 120 students in 14 courses

Description: This is a Bridges Data Structures Textbook @shelf Data Structures Textbooks

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By: pearcej

Used by 15 students in 2 courses

Description: The understanding of data structures and algorithms is central to understanding computer science. Presented in C++, this second edition is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. We cover abstract data types and basic data structures, writing algorithms to solve problems, as well as using data structures to solve classic problems. The first chapter offers a review of basic C++, so this book is most appropriate for use after either a first programming course in C++ or after first programming course in any language.

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Used by 1,071 students in 75 courses

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Used by 860 students in 72 courses

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Used by 649 students in 1 course

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Used by 385 students in 1 course

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Used by 120,434 students in 4,980 courses

Description: Based on the original open source book by Allan Downy and Jeff Elkner. Learn Python, this edition is expanded with additional topics and is fully interactive. Try examples, answer questions, interactively, right in the book!

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By: Brad Miller and Paul Resnick

Used by 39,512 students in 2,259 courses

Description: A project based course for CS1, A huge rewrite of How to Think like a Computer Scientist by Paul Resnick and Brad Miller. The projects in this book lean in the direction of data science, but we are actively seeking projects relevant to any area of study.

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Used by 9,193 students in 592 courses

Description: This book is a fork of the CSAwesome with most of the AP CS A references removed

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Used by 2,723 students in 187 courses

Description:

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Used by 1,937 students in 133 courses

Description: The original open source intro to computer science textbook. Great for students of all ages.

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By: Ralph Morelli, Ralph Walde, and Beryl Hoffman

Used by 1,685 students in 135 courses

Description: Objects first textbook for Java

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By: Adapted by Matthew Hrehirchuk, Eric Chalmers, Charlotte Curtis and Patrick Perri of Mount Royal University

Used by 1,341 students in 100 courses

Description: An adaptation of Foundations of Python Programming with functions introduced before conditionals and loops. This version de-emphasizes Python-specific syntax to focus on procedural programming fundamentals.

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By: Andrew Scholer

Used by 922 students in 49 courses

Description: A CS0 / AP CS Principles level text intended for students new to computer science.

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Used by 488 students in 50 courses

Description:

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Used by 4,872 students in 336 courses

Description: This book is designed as a second course in computing, to follow up on an intro to programming with Python. It introduces many ideas in data science in an intuitive/informal way.

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Used by 592 students in 75 courses

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Used by 26,399 students in 1,173 courses

Description: This interactive ebook was created by a team led by Dr. Barbara Ericson. That team started with a static version of this ebook created by Dr. Charles Severance for his Python for Everybody course. He built that ebook by starting with Allen B. Downey''s *Think Python* book. This ebook is a data-oriented introduction to Pyton 3 and covers both novice and intermediate levels of programming. Use code py4e-int

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Used by 4,287 students in 211 courses

Description:

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Used by 3,598 students in 144 courses

Description: This short ebook is intended to make it easy for anyone who has some background in programming in Python to transition to programming in C++. This ebook also utilizes an optional graphics module that allows graphics in C++ to utilize commands like the Turtle library in Python.

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Used by 1,179 students in 53 courses

Description:

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By: Oscar Levin

Used by 1,134 students in 111 courses

Description: 3rd Edition. A free, open source textbook appropriate for a first or second year undergraduate course for math and computer science majors. The book is especially well-suited for courses that incorporate inquiry-based learning. Since Spring 2013, the book has been used as the primary textbook or a supplemental resource at more than 200 colleges and universities around the world. The text is endorsed by the American Institute of Mathematics' Open Textbook Initiative and is well reviewed on the Open Textbook Library.

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By: Matt Boelkins

Used by 1,113 students in 97 courses

Description: Active Calculus Single Variable supports an active learning approach in the first two semesters of calculus. Every section of Active Calculus Single Variable offers engaging activities for students to complete before and during class; additional exercises that challenge students to connect and assimilate core concepts; interactive WeBWorK exercises; opportunities for students to develop conceptual understanding and improve their skills at communicating mathematical idea. The text is free and open-source, available in HTML, PDF, and print formats. Ancillary materials for instructors are also available.

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By: Oscar Levin

Used by 1,085 students in 82 courses

Description: The 4th edition of Levin's Discrete Mathematics: an Open Introduction, released in August 2024. The new edition includes a better arrangement of topics, many more exercises, and much more interactivity. There are sections on relations, probability, and a stronger emphasis on discrete structures.

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Used by 741 students in 109 courses

Description:

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By: Greg Hartman

Used by 286 students in 29 courses

Description: A traditional calculus textbook with many exercises and few proofs, covering calculus from limits to vector calculus.

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By: Jennifer Firkins Nordstrom

Used by 234 students in 19 courses

Description: This text provides the basics for a one semester Discrete Math course which emphasizes mathematical reasoning and an introduction to proof writing. Each section includes activities to help the students master the definitions and techniques.

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By: Steven Schlicker, Mitchel T. Keller, and Nicholas Long

Used by 175 students in 26 courses

Description: Active Calculus - Multivariable supports an active learning approach to a course involving multivariable and vector calculus. Every section of Active Calculus - Multivariable offers preview activities designed around preparing users for new topics; multiple activities in each section that can be used either in- or out-of-classtime; interactive WeBWorK exercises; other exercises and tasks that foster students' practice of skills and deeper investigation of conceptual material; opportunities for students to refine their effective communication of geometric and algebraic perspectives. This text is free and open-source, available in HTML, PDF, and print (Chapters 911 only) formats. Ancillary materials for instructors are also available.

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By: Tom Judson

Used by 137 students in 20 courses

Description: Abstract Algebra: Theory and Applications is an open-source textbook that is designed to teach the principles and theory of abstract algebra to college juniors and seniors in a rigorous manner. Its strengths include a wide range of exercises, both computational and theoretical, plus many non-trivial applications. The first half of the book presents group theory, through the Sylow theorems, with enough material for a semester-long course. The second half is suitable for a second semester and presents rings, integral domains, Boolean algebras, vector spaces, and fields, concluding with Galois Theory. There is extensive complementary material and exercises using the open source mathematical system, Sage.

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By: Jordan et al.

Used by 123 students in 35 courses

Description: Introductory and Intermediate Algebra

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Used by 93 students in 28 courses

Description:

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Used by 89 students in 11 courses

Description: A open-access textbook to support a two-course sequence in linear algebra that does not require calculus as a prerequisite. The text includes many activities designed to facilitate an active learning environment, embedded Sage cells to develop computational proficiency, and numerous realistic applications.

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By: sean-fitzpatrick

Used by 65 students in 7 courses

Description: A linear algebra textbook using Python and interactive Runestone exercises

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Used by 42 students in 12 courses

Description:

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By: Ken Levasseur and Alan Doerr

Used by 38 students in 7 courses

Description: A two semester discrete math text.

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By: StevenClontz

Used by 28 students in 1 course

Description: Activities and exercises for easily implementing Team-Based Inquiry Learning in a single-variable calculus classroom.

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Used by 19 students in 1 course

Description: A traditional calculus textbook with many exercises and few proofs, covering calculus from limits to vector calculus.

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Used by 1,044 students in 159 courses

Description:

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Used by 761 students in 20 courses

Description:

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By: Dr. Jan Pearce

Used by 76 students in 7 courses

Description: This book is designed for instructors, formal students, and self-learners. It explains what open source software is and teaches the basic skills of open source development incrementally, through real involvement in meaningful projects.

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Used by 74 students in 12 courses

Description: A hands-on introduction to Open Source collaboration using a git/gitHub forking workflow using the VSCode IDE.

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Used by 50 students in 20 courses

Description:

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Used by 45 students in 5 courses

Description: A hands-on introduction to Open Source collaboration using a git/gitHub forking workflow in a Linux desktop environment.

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Used by 17 students in 3 courses

Description:

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Used by 3 students in 1 course

Description: This book is mostly for testing WeBWorK and Runestone

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Used by 2,319 students in 34 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test Parsons problems versus writing the equivalent code.

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Used by 574 students in 19 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test Parsons with and without distractors.

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By: barbarer

Used by 494 students in 4 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test Parsons with and without distractors.

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By: barbarer

Used by 231 students in 5 courses

Description: Duke University version of an interactive ebook for an ITiCSE working group led by Dr. Barbara Ericson, Dr. Janice Pearce, and Dr. Susan Rodger to test Parsons with and without distractors.

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By: barbarer

Used by 187 students in 11 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson.

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By: barbarer

Used by 126 students in 8 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson.

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Used by 78 students in 3 courses

Description: This interactive ebook was created by a ITiCSE working group to test the effects of solving Parsons problems with and without distractors.

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By: barbarer

Used by 60 students in 1 course

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson.

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By: barbarer

Used by 59 students in 10 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson.

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Used by 31 students in 10 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test code writing problems with Parsons problems as help versus code writing problems with no additional help.

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Used by 21 students in 5 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test write code versus write code with Parsons.

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By: barbarer

Used by 17 students in 7 courses

Description: This interactive ebook was created by a ITiCSE working group to test the effects of solving Parsons problems with and without distractors.

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By: barbarer

Used by 14 students in 5 courses

Description: This interactive ebook was created by a ITiCSE working group to test the effects of solving Parsons problems with and without distractors.

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By: barbarer

Used by 12 students in 4 courses

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test Parsons with and without distractors.

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By: barbarer

Used by 7 students in 1 course

Description: This interactive ebook was created by a ITiCSE working group led by Dr. Barbara Ericson to test Parsons problems versus writing the equivalent code.

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By: barbarer

Used by 5 students in 1 course

Description: Duke version of a study created by a ITiCSE working group led by Dr. Barbara Ericson, Dr. Janice Pearce, and Dr. Susan Rodger to test Parsons problems versus writing the equivalent code.

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By: barbarer

Used by 5 students in 1 course

Description: Duke version of a study for the ITiCSE working group led by Dr. Barbara Ericson, Dr. Janice Pearce, and Dr. Susan Rodger.

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By: barbarer

Used by 4 students in 1 course

Description: Duke version of a study for the ITiCSE working group led by Dr. Barbara Ericson, Dr. Janice Pearce, and Dr. Susan Rodger to test code writing problems with Parsons problems as help versus code writing problems with no additional help.

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Used by 7,225 students in 551 courses

Description:

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Used by 2,809 students in 9 courses

Description: The original open source intro to computer science textbook. Great for students of all ages.

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Used by 277 students in 38 courses

Description: This book is for a one-semester course in differential equations.

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