Digital library
Textbooks, references and open learning resources.
External
An Introduction to Matlab and Mathcad
Troy Siemers · Virginia Military Institute
In the contents: 10: Mathcad Introduction · 11: Mathcad Entering Equations · 13: Mathcad Functions
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Mathematics for Computer Science
Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer · Google and Massachusetts Institute of Technology
In the contents: 04: Mathematical Data Types
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Math, Numerics, and Programming (for Mechanical Engineers)
Masayuki Yano, James Douglass Penn, George Konidaris, & Anthony T Patera · Massachusetts Institute of Technology
This text introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches.
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Discrete Mathematics for Computer Science
Jin He · Fresno City College
In the contents: 04: Mathematical Induction · 4.01: Introduction to Mathematical Induction · 4.02: Proof by Using Mathematical Induction
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Discrete Mathematics for Computer Science
Mark A. Fitch · University of Alaska Anchorage
In the contents: 2.04: Mathematical Proof · 4.02: Mathematical Relations
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Open Data Structures - An Introduction
Pat Morin · Carleton University
In the contents: 1.03: Mathematical Background
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MAT 1160: Data & Chance
Andy D. Jones · Prince George's Community College
This textbook supports a semester‑long statistics and probability course for future elementary and middle school teachers. It includes ideas from general education statistics but doesn't emphasize inferential statistics. It focuses on concepts essential for teaching math in the lower grades and covers topics beyond the primary curriculum, including interpreting assessment measures, understanding statistics used in professional practice, and developing informed perspectives about data and chance.
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Foundations of Computation
Carol Critchlow & David J. Eck · Hobart and William Smith Colleges
In the contents: 1.08: Mathematical Induction
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Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
In the contents: 6.05: Math Statistics with Arrays
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Programming Fundamentals - A Modular Structured Approach using C++
Kenneth Leroy Busbee · Houston Community College
In the contents: 20.04: Math Statistics with Arrays
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CS 113 Programming in Java
Milan Samplewala · Los Angeles Mission College
In the contents: 5.04: From the Java Library java.lang.Math
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CSP31A - C Programming
LibreTexts
In the contents: 19.4: Math Statistics with Arrays
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CISC 302: Computer Familiarization
Marjorie Duffy · Cosumnes River College
In the contents: 4.21: Simple Math
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Fundamentals of MATLAB Programming
Zara Noroozi · Irvine Valley College
In the contents: 2.09: Common MATLAB Math Fuctions · 12: Applied Mathematics · 12.02: Why Applied Mathematics Matters in MATLAB
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Introduction to Database Systems
LibreTexts
In the contents: 10.7.04: Mathematical Functions
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Introduction to Programming Concepts - Python
LibreTexts
In the contents: 4.05: Math Functions
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Introduction to Programming with C++
Jin He · Fresno City College
In the contents: 2.06: Coding a Mathematical Formula
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Java, Java, Java - Object-Oriented Programming
Ralph Morelli & Ralph Wade · Trinity College
In the contents: 5.04: From the Java Library java.lang.Math
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Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
Textbook Matlab/Octave Programming for STEM Applications. This text emphasizes practical applications of MATLAB in engineering, physics, mathematics and biology. Intended for California ENGR C-ID 220
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Python for Everybody
Chuck Severance · University of Michigan
In the contents: 4.05: Math Functions