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Foundations of Computation
Carol Critchlow & David J. Eck · Hobart and William Smith Colleges
Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.
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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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CHEM 175 - General Chemistry I
Scott Van Bramer · Widener University
This is the first semester of chemistry for science, biomedical and chemical engineering, and pre-med programs. Topics include measurements, elements, atomic structure, molecular structure, chemical reactions, stoichiometry, acid-base reactions, equilibrium, and introductory kinetics. An understanding of how chemistry applies to living systems and the natural world, green chemistry and sustainable chemistry applications.
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Introduction to Engineering (Bechara)
LibreTexts
This interactive textbook is organized into three main modules. In the Units & Conversions module, students learn to use the International System of Units (SI), convert between different units of measurement, and dimensional analysis. The Excel module teaches students Excel for engineering calculations, data analysis, and visualization. Students will learn how to write basic programs and analyze data using MATLAB with interactive coding exercises and quizzes to help students master the material.
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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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Spreadsheet software for engineering: an applied guide
Julio Terán & Phillip Chvosta · North Carolina State University
Spreadsheet Software for Engineering: An Applied Guide is a free, online textbook designed to provide engineering students with comprehensive, practical knowledge of spreadsheet applications in engineering contexts. The textbook was designed from the ground up to be interactive and engaging for the modern 21st century learner.
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Laboratory Manual - Computer Programming with Python, Multisim and TINA/4E
James M. Fiore · Mohawk Valley Community College
This laboratory manual is intended for use in an introductory computer programming course for electrical engineering technology students. It begins with a basic explanation of schematic capture and simulation tools and proceeds to the Python programming language.
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Introduction to Physical Oceanography
Robert Stewart · 2008
This textbook covers physical-oceanographic processes, theories, data, and measurements, targeted at upper-division undergraduates and graduate students in oceanography, meteorology, and ocean engineering. In addition to the classical topics, the author includes discussions of heat fluxes, the role of the ocean in climate, the deep circulation, equatorial processes including El Nino, data bases used by oceanographers, the role of satellites and data from space, ship-based measurements, and the importance of vorticity in understanding oceanic flows. Students should have studied differential equations and introductory college physics, although math is de-emphasized.
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Semiconductor Physics: Theory and Experiments. With applications to Diode, Light Emitting Diode, Transistor, and Solar Cell
Sven Tougaard · Zenodo · 2023
In 2005, I was asked to give a course in semiconductor physics for physics and engineering students that includes both theory and experiments. I could not find a textbook that met the constraints for the course which was a 4th semester course in semiconductor physics for physics and engineering students some of them with no knowledge of statistical mechanics. Existing textbooks are either too simplistic and do not include a comprehensive physical model description of semiconductors which must include a basic amount of both statistical mechanics, quantum mechanics, and solid-state physics. Alternative textbooks are way too lengthy to fit in a 4th semester course of maximum 5 ECTS length and don’t include experiments. I therefore started to develop a course where only the essential elements of the underlying theory is included. But still keeping the basic physical description of the phenomena at a sober level. So, this is a comprehensive short introductory course and includes both theory and experiments, but it does not substitute for an advanced semiconductor physics course. It is also noted that this course does not include the MOSFET transistor.
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Fundamentals of Aerospace Engineering
Manuel Arnedo · Manuel Fernando Soler Arnedo · 2014
Fundamentals of Aerospace Engineering covers an undergraduate, introductory course to aeronautical engineering and aims at combining theory and practice to provide a comprehensive, thorough introduction to the fascinating, yet complex discipline of aerospace engineering. This book is the ulterior result of three year of teaching a course called Aerospace Engineering in the first year of a degree in aerospace engineering (with a minor in air navigation) at the Universidad Rey Juan Carlos, in Madrid, Spain.
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Calculus-Based Physics II
Jeffrey Schnick · Jeffrey W. Schnick · 2008
Calculus-Based Physics is an introductory physics textbook designed for use in the two-semester introductory physics course typically taken by science and engineering students.
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Calculus-Based Physics I
Jeffrey Schnick · Jeffrey W. Schnick · 2008
Calculus-Based Physics is an introductory physics textbook designed for use in the two-semester introductory physics course typically taken by science and engineering students.
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Significant Statistics
John Russell · Virginia Tech Publishing · 2025
Significant Statistics: An Introduction to Statistics is intended for students enrolled in a one-semester introduction to statistics course who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a 'Your Turn' problem that is designed as extra practice for students. Significant Statistics: An Introduction to Statistics was adapted from content published by OpenStax including Introductory Statistics, OpenIntro Statistics, and Introductory Statistics for the Life and Biomedical Sciences. John Morgan Russell reorganized the existing content and added new content where necessary. Instructors reviewing, adopting, or adapting this textbook: please help us understand your use by filling out this form: https://bit.ly/stat-interest.
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COMPUTATIONAL PHYSICS: A Practical Introduction to Computational Physics and Scientific Computing (using C++)
Konstantinosn Anagnostopoulos · National Technical University of Athens · 2016
This book is an introduction to the computational methods used in physics, but also in other scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. It can be used as a textbook in introductory computational physics or scientific computing classes. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks. All the material can be taught in two semesters, but a selection of topics can form the material of a one semester course. The book aims to provide the students with the background and the experience needed in order to advance to high performance computing projects in science and engineering. It puts emphasis on hands--on programming of numerical code but also on the production, analysis and interpretation of data. But it also tries to keep the students motivated by considering interesting applications in physics, like chaos, quantum mechanics, special relativity and the physics of phase transitions. There is a C++ and a Fortran edition for the core programming. Data analysis is performed using the powerful tools of the GNU/Linux environment. All the necessary software is open source and freely available. The book and the accompanying software are given under a Creative Commons License/GNU public License as a service to the community. It can be used freely as a whole, or any part of it, in any form, by anyone. There is no official distribution of hard copies, b
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New Media Futures
Daniel Faltesek; Daniel Adams · Oregon State University · 2019
This book is intended for use in a large introductory class in new media in a program that covers the “full-stack” including critical/cultural studies, media management, diffusion of innovation, and synthetic media production. The first half of this basic sequence covered new media and democracy, finance, intellectual property law, basic games, and transmedia. The second half of the sequence covers many topics related to aesthetics, design, technology, and methodology. To that end, this book needed to be written so that it would be helpful for many different professors and trajectories of study. This book is in neither engineering, social science, nor the humanities, but also all of those. At the same time, this is a program in the Communication Studies and Media Studies traditions of the United States and that texture will come across.
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An Introduction to Ontology Engineering
Maria Keet · Maria Keet · 2018
This first general textbook An introduction to ontology engineering has as main aim to provide the reader with a comprehensive introductory overview of ontology engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory. The book is divided into three blocks: Block I: logic foundations for ontologies both regarding the languages (mainly First Order predicate Logic, Description Logics, and OWL) and automated reasoning. Block II: developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottom-up approach to extract as much useful content as possible from legacy material. Block III: advanced topics with a selection of areas of specialisation, including Ontology-Based Data Access, the interaction between ontologies and natural languages (multilingual ontologies, controlled natural language), and advanced modelling with additional language features (fuzzy and temporal ontologies).
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Process Improvement using Data
Kevin Dunn · Kevin Dunn · 2026
There is no other free, coherent text that covers what engineers and scientists actually do with process data (visualization, regression, designed experiments, process monitoring, and multivariate / latent-variable methods) in one volume. Most textbooks pick one of those topics and go deep. Practitioners need all of them, and need to see how they fit together, because real industrial problems don't respect chapter boundaries. Process Improvement using Data was written to fill that gap, and has been continuously refined in industry-facing classrooms and in industrial practice since 2010. It is suitable for upper-undergraduate or introductory-graduate courses, and for self-study by working engineers and data scientists with a basic statistics background.
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Engineering Signal Analysis: From Fourier to filtering: Theory
Christian Tiberius; Max Mulder · TU Delft Open · 2026
Engineering Signal Analysis - Theory, is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer’s perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time. It then introduces discrete-time signals, addressing how sampling and finite signal duration affect spectral analysis. It discusses the discrete Fourier transform and its use in spectral estimation. The book concludes with an introduction to linear systems and signal filtering.
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Structural Dynamics
Hilmi Luş; Sinan Keten · Northwestern University Libraries · 2024
This textbook represents our effort to make freely available to students and practitioners the theory and common applications of structural dynamics. The presentation is hoped to inspire interest and active learning. The book's content is expected to evolve and expand in time so we truly welcome suggestions from readers and colleagues. To make available in a timely manner, the first upload/edition has been limited topics that could be covered in a senior level undergraduate or an introductory level graduate course in a single semester. Given the vastness of the theory and practical details, such a compromise was inevitable. On the other hand we hope that by continuing to expand the contents at certain intervals the material will eventually cover a very significant portion of the relevant literature and current practices. This living nature of the electronic medium was what motivated us to undertake this project to begin with. We thank Northwestern University Libraries for their interest in this textbook, and we express our gratitude to Xinyan Yang for her help in solving many problems we encountered along the way.
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Testing theory: an introduction
Peter Teunissen · TU Delft Open · 2024
These lecture notes are a follow up on Adjustment theory. Adjustment theory deals with the optimal combination of redundant measurements together with the estimation of unknown parameters. There are two main reasons for performing redundant measurements. First, the wish to increase the accuracy of the results computed. Second, the requirement to be able to check for mistakes or errors. The present book addresses this second topic. Although one always will try one's best to avoid making mistakes, they can and will occasionally happen. It is therefore of importance to have ways of detecting and identifying such mistakes. Mistakes or errors can come in many different guises. They could be caused by mistakes made by the observer, or by the fact that defective instruments are used, or by wrong assumptions about the functional relations between the observables. When passed unnoticed, these errors will deteriorate the final results. The goal of this introductory course on testing theory is therefore to convey the necessary knowledge for testing the validity of both the measurements and the mathematical model. Typical questions that will be addressed are: 'How to check the validity of the mathematical model? How to search for certain mistakes or errors? How well can errors be traced? And how do undetected errors affect the final results?' The theory is worked out in detail for the important case of linear(ized) models. Both the parametric form (observation equations) and the implicit form (condition equations) of linear models are treated. As an additional aid in understanding the basic principles involved, a geometric interpretation is given throughout. Attention is also paid to the performance of the testing procedures. The closely related concept of reliability is introduced and diagnostic measures are given to determine the size of the minimal detectable biases. In this introductory text the methodology of testing is emphasized, although various examples are given to il