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A First Course in Differential Equations for Scientists and Engineers
Russell Herman · University of North Carolina Wilmington
This book is written for an undergraduate course on the introduction to differential equations typically taken by majors in mathematics, the physical sciences, and engineering. In this course we will investigate analytical, graphical, and approximate solutions of differential equations. We will study the theory, methods of solution and applications of ordinary differential equations. This will include common methods of finding solutions, such as using Laplace transform and power series methods.
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Fast Fourier Transforms
C. Sidney Burrus · Rice University
This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. These topics have been at the center of digital signal processing since its beginning, and new results in hardware, theory and applications continue to keep them important and exciting.
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Chemical Process Dynamics and Controls
Peter Woolf et al. · University of Michigan
This textbook is a student-contributed open-source text covering the materials used in the senior level controls course. The authors cover a variety of approaches to reduce or manage this uncertainty through the use of robust designs, dynamic systems theory, nonlinear dynamics, control theory, and statistics.
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Physics 9HA: Classical Mechanics
Tom Weideman · University of California, Davis
Physics 9HA introduces general principles and analytical methods used in classical mechanics primarily for physics and applied physics majors, though it is also a good fit for engineering students that have a special affinity for physics and are looking for a more challenging first course in physics.
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Laboratory Manual - AC Electrical Circuit Analysis
James M. Fiore · Mohawk Valley Community College
This laboratory manual is intended for use in an AC electrical circuits course and is appropriate for either a two or four year electrical engineering technology curriculum. The manual contains sufficient exercises for a typical 15 week course using a two to three hour practicum period. The topics range from RL and RC circuits and oscilloscope orientation through series-parallel circuits, superposition, Thevenin’s theorem, maximum power transfer theorem, and series and parallel resonance.
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Introduction to Permaculture
Andrew Millison · Oregon State University
This free introduction to permaculture is meant for the novice and the professional alike, with no prior experience necessary. For the person new to permaculture design and land stewardship, this book will provide a foundation from which to build upon with subsequent training, and introduce a new perspective that can be applied in many careers and facets of life.
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Think Complexity: Exploring Complexity Science with Python
Allen B. Downey · Olin College
Có trong mục lục: 1.04: Complexity engineering
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Mechanical Behavior of Material
Joshua P. Steimel · California State Polytechnic University, Humboldt
LibreTexts
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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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Fluids 1: Fluid Power and Pneumatics (NWTC)
Jessy Haid · Northeast Wisconsin Technical College
This basic fluid power and pneumatics textbook covers an introduction to pneumatics, power from pneumatics, circuit connections, basic circuits using cylinders, compressors, aftercoolers, and piping systems, single-acting cylinders, 3/2 directional control valves, pneumatic motors and mufflers, pressure and force, Pascal's Law, pressure and volume, air flow and resistance, flow control and measurement, flow control valves, and speed control.
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Data Structures
Wikipedia · LibreTexts
This book is about the creation and analysis of efficient data structures. To understand the material in this book you should be comfortable enough in a programming language to be capable of working with and writing your own variables, arithmetic expressions, if-else conditions, loops, subroutines (also known as functions), pointers (also known as references or object handles), structures (also known as records or classes), simple input and output, and simple recursion.
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Oregon Institute of Technology: CHE 202 General Chemistry II
Addie Clark · Oregon Institute of Technology
Electronic structure of atoms, periodic trends, chemical bonding, molecular geometry, intermolecular forces, phase transitions, and properties of solutions. Emphasis on engineering applications.
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Principles of Data Science
OpenStax · LibreTexts
Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important.
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CSCI 110: Programming with C++
Sandra Ruiz · Crafton Hills College
Introduction to computer science, including programming, theory, and applications. Introduction to computer software design, implementation, methods, environment, and problem solving using the C++ language. Topics include data types, variables, expressions, input/output, control structures, functions, arrays, strings, and introduction to object-oriented programming
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Optical Communications
Chris Lee · Fontys University of Applied Sciences
Picture Credit: John Sherman (https://www.flickr.com/photos/fatllama/)
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The Crystal Ball - Instruction Manual I: Introduction to Data Science
Stephen Davies · University of Mary Washington
A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks.
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CISP 430: Data Structures
Suha Aljuboori · Folsom Lake College
This course applies object-oriented techniques for systematic problem analysis and the managing of program complexity using abstraction. Specifications, design, coding, testing, and documentation of large multi-file programs are covered. It uses advanced language features such as classes, strings, non-text files, pointers, and recursion. Abstract data types such as stacks, queues, lists, binary trees, heaps/priority queues, hash tables, and graphs are examined.
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Polymer Physics
Joshua P. Steimel · California State Polytechnic University, Humboldt
LibreTexts
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Mechanics of Materials
David Roylance · Massachusetts Institute of Technology
Overview of mechanical properties of ceramics, metals, and polymers, emphasizing the role of processing and microstructure in controlling these properties. Basic topics in mechanics of materials including: continuum stress and strain, truss forces, torsion of a circular shaft and beam bending. Design of engineering structures from a materials point of view.
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Discrete Stochastic Processes
Robert Gallager · Massachusetts Institute of Technolog
Discrete stochastic processes are essentially probabilistic systems that evolve in time via random changes occurring at discrete fixed or random intervals. This text aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of these processes. The range of areas for which discrete stochastic-process models are useful is constantly expanding.