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First Semester in Numerical Analysis with Julia

Contributor: Ökten

Publisher: Florida State University

License: CC BY-NC-SA

First Semester in Numerical Analysis with Julia presents the theory and methods, together with the implementation of the algorithms using the Julia programming language (version 1.1.0). The book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory. The reader is expected to have studied calculus and linear algebra. Some familiarity with a programming language is beneficial, but not required. The programming language Julia will be introduced in the book. The simplicity of Julia allows bypassing the pseudocode and writing a computer code directly after the description of a method while minimizing the distraction the presentation of a computer code might cause to the flow of the main narrative.

(2 reviews)

x86-64 Assembly Language Programming with Ubuntu

Contributor: Jorgensen

Publisher: Ed Jorgensen

License: CC BY-NC-SA

The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). While the provided code and various examples should work under any Linux-based 64-bit OS, they have only been tested under Ubuntu 14.04 LTS (64-bit). The x86-64 is a Complex Instruction Set Computing (CISC) CPU design. This refers to the internal processor design philosophy. CISC processors typically include a wide variety of instructions (sometimes overlapping), varying instructions sizes, and a wide range of addressing modes. The term was retroactively coined in contrast to Reduced Instruction Set Computer (RISC3).

(2 reviews)

Answering questions with data: Introductory Statistics for Psychology Students

Contributor: Crump

Publisher: Crump Lab

License: CC BY-SA

This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.

(1 review)

Geometry with an Introduction to Cosmic Topology

Contributor: Hitchman

Publisher: Michael P. Hitchman

License: CC BY-SA

Motivated by questions in cosmology, the open-content text Geometry with an Introduction to Cosmic Topology uses Mobius transformations to develop hyperbolic, elliptic, and Euclidean geometry - three possibilities for the global geometry of the universe.

(1 review)

Informal Calculus with Applications to Biological and Environmental Sciences

Contributors: Seacrest, Seacrest, Levine, and Anderson

Publisher: TRAILS

License: CC BY

This book is an approachable introduction to calculus with applications to biology and environmental science. For example, one application in the book is determining the volume of earth moved in the 1959 earthquake that created Quake Lake. Another application uses differential equations to model various biological examples, including moose and wolf populations at Isle Royale National Park, ranavirus in amphibians, and competing species of protozoa. The text focuses on intuitive understanding of concepts, but still covers most of the algebra and calculations common in a survey of calculus course.

(2 reviews)

Intermediate Microeconomics with Microsoft Excel - 2nd Edition

Contributor: Barreto

Publisher: Humberto Barreto

License: CC BY-SA

This book is based on the idea that there is a particular framework used by economists to interpret observed reality. This framework has been called the economic way of thinking, the economic approach, and the method of economics.

(1 review)

Succeeding at Your Internship: A Handbook Written for and with Students

Contributors: Mruk and Moor

Publisher: Bowling Green State University Libraries

License: CC BY-NC-SA

There are several textbooks for students whose majors include internships in human services, broadly defined, such as case management, counseling, criminal justice, and social work. Most of these books are written in an academic format. Typically, it involves an introduction to a theoretical orientation that concerns working with others followed by a series of chapters devoted to learning professional skills associated with a given discipline. This approach is fine, as far as it goes, but also has two drawbacks. One is that the texts are usually sold by main stream publishers, which means they are expensive. Another is that they seldom address what might be described as the experiential dimension of the internship that most beginners face on their own. This new book addresses both concerns. The fact that it is offered as a free text addresses the first issue, of course, but the second one requires a new approach. It began with asking students to talk about what they experienced when going through their first internship and what they would tell others about how to make it a successful one. That work led to a structured narrative about basic practical topics, such as finding an internship, getting started there, making effective use of supervision, understanding ethics, appreciating cultural diversity, becoming competent, and completing the internship. The text includes descriptions, suggestions, and exercises. It may be used as either a primary course text or, due to its relative brevity, a supplemental one. Although the lead editor is an experienced clinician and professor who has supervised internships for a variety of human services majors over many years, the book was written with and for students to make it more readable and more useful.

(7 reviews)

First Semester in Numerical Analysis with Python

Contributor: Liu

Publisher: Auraria Institutional Repository

License: CC BY-NC-SA

The book is based on “First semester in Numerical Analysis with Julia”, written by Giray Ökten. The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index, a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms.

(2 reviews)

Digging into Archaeology: A Brief OER Introduction to Archaeology with Activities

Contributors: Paskey and Cisneros

Publisher: Academic Senate for California Community Colleges

License: CC BY-NC

This book is intended for use in a variety of introductory archaeology settings, such as in lectures and lab courses. This text can complement an existing traditional text or completely replace a standard text. It can be used for its activities or as a study resource. When we wrote this text, we designed the chapters to be brief, providing concise and to-the-point information. This book is not intended to replace lectures or direct instruction from an instructor; rather, it supports learning in a variety of settings and formats. The book can be printed in whole, read digitally, or used piecemeal in either format. However you use this text, we hope that you find it serves as an instructive learning tool and that you dig archaeology as much as we do!

(1 review)

Traffic Flow Theory: An introduction with exercises

Contributor: Knoop

Publisher: TU Delft Open

License: CC BY-NC-SA

Traffic processes cause several problems in the world. Traffic delay, pollution are some of it. They can be solved with the right road design or traffic management (control) measure. Before implementing these designs of measures, though, their effect could be tested. To this end, knowledge of traffic flow theory is needed.

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