Digital library
Textbooks, references and open learning resources.
External
System Design for Uncertainty
Franz S. Hover & Michael S. Triantafyllou · Massachusetts Institute of Technology
This text covers the design, construction, and testing of field robotic systems, through team projects with each student responsible for a specific subsystem. Projects focus on electronics, instrumentation, and machine elements. Design for operation in uncertain conditions is a focus point, with ocean waves and marine structures as a central theme. Topics include basic statistics, linear systems, Fourier transforms, random processes, spectra, ethics in engineering practice, and extreme events.
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Principles of Computer System Design
Jerome H. Saltzer & M. Frans Kaashoek · Massachusetts Institute of Technology
Principles of Computer System Design: An Introduction is published in two parts. Part I, containing chapters 1-6, is a traditional printed textbook published by Morgan Kaufman, an imprint of Elsevier. Part II, containing chapters 7-11, is available here as an open educational resource.
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Structure and Interpretation of Computer Programs
Harold Abelson, Gerald Sussman & Julie Sussman · Massachusetts Institute of Technology
The material in this book has been the basis of MIT's entry-level computer science subject and emphasizes several new themes. The most important of these is the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming, lazy evaluation, and nondeterministic programming. We have included new sections on concurrency and nondeterminism, and we have tried to integrate this theme throughout the book.
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Introduction to Engineering Drawing and Design
Edoarda Corradi Dell’Acqua and Jamshid Mohammadi · Illinois Institute of Technology
Introduction to Engineering Drawing & Design is organized into four modules: Module A introduces the foundations of technical drawing, including line types, units and scale, drawing tools, and geometric constructions; Modules B and C cover parallel projections; Module D focuses on fabrication/3D printing, with an appendix for instructors. This resource includes lecture notes, images, videos, exercises, interactive elements, and AR visualizations.
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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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Delftse Foundations of Computation
Stefan Hugtenburg & Neil Yorke-Smith · Delft University of Technology
Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.
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Engineering: An Introduction for High School
Dale Baker, Ed.D., Tirupalavanam G. Ganesh, Ph.D., Stephen Krause, Darryl Morrell, Chell Roberts, & Janel White-Taylor · CK-12
In the contents: 01: Introduction to Engineering · 02: Nature of Engineering · 2.01: About the Nature of Engineering
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Coastal Dynamics
Judith Bosboom & Marcel J.F. Stive · Delft University of Technology
In the contents: 1.2.01: What is coastal engineering · 1.04: Examples of engineering applications · 7.2.3: Engineering applications
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows 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. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Biotechnology
Kareen Martin & Patricia Zuk · West Los Angeles College
In the contents: 01: Introduction to Biotechnology · 1.01: Definition and a Short History of Biotechnology · 1.02: Applications of Biotechnology
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows 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. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Introduction to Biosystems Engineering
Nicholas M. Holden, Mary Leigh Wolfe, Jactone Arogo Ogejo, & Enda J. Cummins · University College Dublin and Virginia Tech
In the contents: 02: Information Technology Sensors and Control Systems · 2.02: Visible and Near Infrared Optical Spectroscopic Sensors for Biosystems Engineering · 2.03: Data Processing in Biosystems Engineering
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Water 130: Waterworks Mathematics
Alvord and Blasberg · College of the Cayons
In the contents: 10: Engineering and Construction
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows 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. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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From Growing to Biology: Plants
Gokhan Hacisalihoglu · Florida A&M University
In the contents: 1.30: How to Study STEM (Science Technology Engineering and Math)
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Mathematics for Computer Science
Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer · Google and Massachusetts Institute of Technology
This text serves as an introduction to discrete mathematics, probability, and mathematical thinking for computer scientists with an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: (1) Fundamental concepts of mathematics including definitions, proofs, sets, functions, relations. (2) Discrete structures: graphs, state machines, modular arithmetic, counting and (3) Discrete probability theory.
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EGR 1010: Introduction to Engineering for Engineers and Scientists
LibreTexts
In the contents: 04: What is engineering Who are engineers · 11: Historical case studies in Engineering · 12: Case Study on Nanotechnology
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows 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. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.