Used by 45,926 students in 2,952 courses

Description: CSAwesome2 is the newest AP CSA Java curriculum approved to meet the 2025-2026 College Board standards and an introductory college-level computer programming course in Java.

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Used by 45,433 students in 10,264 courses

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Description: This is the old version of CSAwesome meeting the 2019-2025 College Board requirements for AP CSA in Java. Look below for the newer version, CSAwesome2, for the 2025+ AP CSA requirements.

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Used by 12,712 students in 1,741 courses

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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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Used by 8,140 students in 2,289 courses

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Description:

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Used by 200 students in 101 courses

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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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By: Robert A. Beezer, David Farmer, Alex Jordan, Mitchel T. Keller, Oscar Levin

Used by 60 students in 19 courses

Description:

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Used by 9,294 students in 801 courses

Warning: This book has limited support, please use a newer alternative.

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

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Used by 2,399 students in 1,019 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 2,031 students in 84 courses

Description: The 2nd Interactive Edition of Python for Everyone

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Used by 773 students in 109 courses

Warning: This book has limited support, please use a newer alternative.

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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By: Andrew Scholer

Used by 492 students in 26 courses

Description: Programming and data structures in C++ (ACM CS1 & CS2)

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Used by 215 students in 27 courses

Warning: This book has limited support, please use a newer alternative.

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 165 students in 32 courses

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By: Dr. Jan Pearce, Editor

Used by 118 students in 17 courses

Description: This work is designed as an introduction to the applied topic of computer security. Students will learn ways of preventing, identifying, understanding, and recovering from attacks against computer systems. This text also presents the evolution of computer security, the main threats, attacks and mechanisms, applied computer operation and security protocols, main data transmission and storage protection methods, cryptography, network systems availability, recovery, and business continuation procedures. Some sections that are related to legal issue are US-centric.

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By: Dr. Azhar

Used by 74 students in 4 courses

Description: CSC 101 @ BMCC: Principles in Information Technology and Computation

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Used by 52 students in 28 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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By: Dr. Jan Pearce, Editor

Used by 45 students in 3 courses

Description: Designed for all students and minimal background in mathematics, this work is designed as an introduction to artificial intelligence and machine learning.

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By: Xiaoli Zhang, PhD and Christine Liebe, PhD

Used by 42 students in 5 courses

Description: An introductory textbook for AI and Robotics.

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Used by 832 students in 38 courses

Warning: This book has limited support, please use a newer alternative.

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

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By: Mark Guzdial

Used by 475 students in 35 courses

Warning: This book has limited support, please use a newer alternative.

Description: Computing for Creative Expression

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By: Dr. Jan Pearce, Editor

Used by 173 students in 19 courses

Description: This book provides a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.

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Used by 4,788 students in 529 courses

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Description:

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Used by 3,273 students in 842 courses

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

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Used by 1,660 students in 268 courses

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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: Bradley N. Miller, David L. Ranum, Roman Yasinovskyy

Used by 1,310 students in 71 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.

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By: Bradley N. Miller, David L. Ranum, Roman Yasinovskyy, J. David Eisenberg

Used by 1,272 students in 131 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, [email protected]

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Used by 559 students in 47 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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By: Assembled by Adam Whaley, Original Text: How to Think like a Computer Scientist., Original Text: Problem Solving with Algorithms and Data Structures, Original Text: Python for Everybody - Interactive

Used by 547 students in 11 courses

Description: An amalgam of Python Data Structures, Python for Everyone, and How to Think Like a Computer Scientist to match the new CS2 curriculum at UNC Charlotte

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Used by 81 students in 8 courses

Warning: This book has limited support, please use a newer alternative.

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

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By: Bradley N. Miller, David L. Ranum, Roman Yasinovskyy, J. David Eisenberg, David R. Musicant, Anya E. Vostinar

Used by 38 students in 2 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 translation to Kotlin of previous books in Java and in Python, with a number of other updates. Please send any feedback to Dave Musicant, [email protected]

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Used by 1,711 students in 135 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 313 students in 85 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 31,412 students in 5,447 courses

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Description: (Outdated please use httlacs) Based on the original open source book by Allen B. Downey 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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Used by 12,743 students in 2,541 courses

Warning: This book has limited support, please use a newer alternative.

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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By: Matthew Hrehirchuk, Eric Chalmers, Charlotte Curtis, Patrick Perri

Used by 4,300 students in 264 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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Used by 2,879 students in 225 courses

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

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Used by 1,945 students in 261 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 1,694 students in 123 courses

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

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By: Ralph Morelli, Ralph Walde, Beryl Hoffman, David G. Cooper

Used by 1,464 students in 187 courses

Description: Objects first textbook for Java

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By: Nadia Najjar

Used by 1,077 students in 21 courses

Description: An adaptation of the Foundations of Python Programming - Functions First Edition with sequences introduced earlier and emphasis on functions throughout.

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Used by 633 students in 55 courses

Description:

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By: Barbara Ericson, Allen B. Downey

Used by 86 students in 4 courses

Description: Based on the original open source book by Allen Downey, Think C++: How to Think Like a Computer Scientist. This book is an introduction to computer science using C++.

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Used by 2,238 students in 394 courses

Warning: This book has limited support, please use a newer alternative.

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 331 students in 94 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 19,816 students in 1,574 courses

Warning: This book has limited support, please use a newer alternative.

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 1,672 students in 231 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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Used by 1,014 students in 162 courses

Warning: This book has limited support, please use a newer alternative.

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 353 students in 59 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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By: Dr. Jan Pearce and Dr. Brad Miller

Used by 285 students in 20 courses

Description: This is the PreTeXt alpha version of a short ebook that 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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By: Brad Miller and Jan Pearce

Used by 187 students in 21 courses

Description:

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By: Oscar Levin

Used by 3,377 students in 270 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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By: Matthew Boelkins

Used by 1,763 students in 179 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 preview activities and 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: Matthew Boelkins

Used by 847 students in 45 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 Doenet preview activities and 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: Gregory Hartman, Ph.D.

Used by 740 students in 47 courses

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

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By: David Austin

Used by 601 students in 44 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: Nicholas Long, Mitchel T. Keller

Used by 527 students in 62 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. The text makes frequent use of interactive three-dimensional graphics embedded in the text to help students with visualizing. This text is free and open-source, available in HTML, PDF, and print formats (2nd edition will be available by January 2028). Ancillary materials for instructors are also available.

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By: David Austin

Used by 455 students in 46 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: Oscar Levin

Used by 425 students in 132 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: Robert A. Beezer

Used by 350 students in 127 courses

Description:

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By: Geoffrey W. Cox, Ph.D.

Used by 283 students in 10 courses

Description: This interactive online text is intended to be used to learn the introductory concepts of ordinary differential equations. The book is designed for students who have completed single-variable calculus and is suitable for a one semester course in differential equations. The book is written in a straightforward, readable style and has a large number of worked examples and exercises.

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By: Gregory Hartman, Ph.D.

Used by 259 students in 24 courses

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

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By: Matthew Boelkins

Used by 247 students in 14 courses

Description: Active Prelude to Calculus is designed for college students who aspire to take calculus and who either need to take a course to prepare them for calculus or want to do some additional self-study. The reader will find that the text requires them to engage actively with the material, to view topics from multiple perspectives, and to develop deep conceptual understanding of ideas. Every section 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 improve their skills at communicating mathematical ideas. 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: Thomas W. Judson

Used by 246 students in 45 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: Jennifer Firkins Nordstrom

Used by 241 students in 32 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: Chrissy Safranski

Used by 181 students in 8 courses

Description: An introduction to the computational aspects of linear algebra in 2 and 3 dimensions, with very little abstraction or theory.

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By: Mitchel T. Keller, William T. Trotter

Used by 169 students in 9 courses

Description: This is a text with more than enough material for a one-semester introduction to combinatorics. The original target audience was primarily computer science majors, but the topics included make it suitable for a variety of different students. Topics include basic enumeration, recursion and mathematical induction, graph theory, partially ordered sets, additional enumeration techniques, and graph algorithms.

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By: Katherine Yoshiwara

Used by 96 students in 41 courses

Description:

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By: Sean Fitzpatrick

Used by 93 students in 15 courses

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

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By: Oscar Levin, Christina Safranski

Used by 68 students in 4 courses

Description: The Active Calculus Companion is intended to give students using Active Calculus (Single Variable) additional practice exercises, as well as help them sure up foundational skills. Note: this book is still in early draft form.

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By: Jennifer Firkins Nordstrom

Used by 64 students in 7 courses

Description: This text provides an inquiry-based introduction to game theory. The material requires no mathematical prerequisites and is suitable for a non-majors quantitative reasoning course.

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By: Faculty

Used by 59 students in 38 courses

Description: Introductory and Intermediate Algebra

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By: Al Doerr, Ken Levasseur

Used by 49 students in 12 courses

Description: A two semester discrete math text.

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By: Mike May, S.J., Anneke Bart

Used by 39 students in 17 courses

Description:

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By: Geoffrey W. Cox, Ph.D.

Used by 20 students in 3 courses

Description: This text is a work-in-progress and is currently used as lecture resources. It covers the introductory concepts of programming in MATLAB.

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By: Erin Denette & Barbara Kaskosz

Used by 9 students in 2 courses

Description: As the title of the book suggests, our emphasis is on the real-life meaning of precalculus concepts. We want our students to master the basic concepts of precalculus while building a solid understanding of those concepts in practical contexts and the skills to apply mathematical tools to real-life processes.

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Used by 9 students in 3 courses

Description: A companion book and problem bank for linear algebra, aligned with David Austin's Understanding Linear Algebra, but useful for any number of linear algebra courses.

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Used by 2,569 students in 46 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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By: Grant Braught, Lori Postner, Darci Burdge, Ruth Lamprecht, Stoney Jackson, Karl R. Wurst

Used by 1,143 students in 76 courses

Description: A hands-on introduction to Open Source collaboration using Git/GitHub forking workflow.

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Used by 847 students in 172 courses

Warning: This book has limited support, please use a newer alternative.

Description:

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By: Robert A. Beezer

Used by 325 students in 18 courses

Description:

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By: Beth L. Chance, Allan J. Rossman

Used by 175 students in 5 courses

Description: Data Analysis for Math Majors

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By: Dr. Jan Pearce

Used by 144 students in 14 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 88 students in 24 courses

Description:

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By: Thank you for participating in the study.

Used by 28 students in 2 courses

Description: A simple string (no markup is allowed) to describe your book.

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By: Thank you for participating in the study.

Used by 26 students in 4 courses

Description: A simple string (no markup is allowed) to describe your book.

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Used by 0 students in 1 course

Description: None

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Used by 458 students in 20 courses

Description: This interactive survey is designed to study how students approach and solve Parsons Problems, a type of programming exercise where code blocks must be arranged in the correct order. The study consists of a background questionnaire, practice problems, test problems, and a feedback survey.

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Used by 224 students in 33 courses

Warning: This book has limited support, please use a newer alternative.

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 72 students in 59 courses

Description:

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Used by 57 students in 14 courses

Warning: This book has limited support, please use a newer alternative.

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

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Used by 24 students in 14 courses

Warning: This book has limited support, please use a newer alternative.

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

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Used by 13 students in 11 courses

Warning: This book has limited support, please use a newer alternative.

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 13 students in 5 courses

Warning: This book has limited support, please use a newer alternative.

Description: Duke Univeristy 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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Used by 13 students in 8 courses

Warning: This book has limited support, please use a newer alternative.

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

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Used by 11 students in 9 courses

Warning: This book has limited support, please use a newer alternative.

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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Used by 8 students in 4 courses

Warning: This book has limited support, please use a newer alternative.

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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Used by 8 students in 7 courses

Warning: This book has limited support, please use a newer alternative.

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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Used by 157 students in 14 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 2,142 students in 623 courses

Warning: This book has limited support, please use a newer alternative.

Description:

keywords:

Used by 63 students in 23 courses

Warning: This book has limited support, please use a newer alternative.

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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Used by 4,502 students in 22 courses

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

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By: Nadia Najjar, Dhruv Dhamani

Used by 1,945 students in 17 courses

Description: How to Design Programs with Object Oriented programming

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By: Thomas W. Judson

Used by 335 students in 70 courses

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

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Used by 22 students in 6 courses

Warning: This book has limited support, please use a newer alternative.

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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