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Read more about Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) - 3rd Edition

Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) - 3rd Edition

Copyright Year: 2017

Contributors: Jenkins-Smith and Ripberger

Publisher: University of Oklahoma Libraries

License: CC BY

The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.

(8 reviews)

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Read more about Transition with Purpose: Pathways from English Language to Academic Study

Transition with Purpose: Pathways from English Language to Academic Study

Copyright Year: 2018

Contributors: Miller and Greenhoe

Publisher: Portland State University Library

License: CC BY-NC

This Open Access Textbook will guide students through their English language to academic degree studies.

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Read more about Introductory Statistics with Randomization and Simulation - First Edition

Introductory Statistics with Randomization and Simulation - First Edition

Copyright Year: 2014

Contributors: Diez, Barr, and Çetinkaya-Rundel

Publisher: OpenIntro

License: CC BY-NC-SA

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

(4 reviews)

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Read more about Learning Statistics with R: A tutorial for psychology students and other beginners

Learning Statistics with R: A tutorial for psychology students and other beginners

Copyright Year: 2018

Contributor: Navarro

Publisher: Danielle Navarro

License: CC BY-SA

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.

(4 reviews)

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Read more about A Brief Introduction to Engineering Computation with MATLAB

A Brief Introduction to Engineering Computation with MATLAB

Copyright Year: 2011

Contributor: Beyenir

Publisher: Serhat Beyenir

License: CC BY

A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports.

(14 reviews)

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Read more about Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics

Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics

Copyright Year: 2017

Contributor: Poritz

Publisher: Colorado State University Pueblo

License: CC BY-SA

This is a first draft of a free (as in speech, not as in beer, [Sta02]) (although it is free as in beer as well) textbook for a one-semester, undergraduate statistics course. It was used for Math 156 at Colorado State University–Pueblo in the spring semester of 2017.

(2 reviews)

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Read more about Making Games with Python & Pygame

Making Games with Python & Pygame

Copyright Year: 2012

Contributor: Sweigart

Publisher: Albert Sweigart

License: CC BY-NC-SA

This book will teach you how to make graphical computer games in the Python programming language using the Pygame library.This book assumes you know a little bit about Python or programming in general. If you don’t know how to program, you can learn by downloading the free book "Invent Your Own Computer Games with Python" from http://inventwithpython.com. Or you can jump right into this book and mostly pick it up along the way. This book is for the intermediate programmer who has learned what variables and loops are, but now wants to know, "What do actual game programs look like?" There was a long gap after I first learned programming but didn’t really know how to use that skill to make something cool. It’s my hope that the games in this book will give you enough ideas about how programs work to provide a foundation to implement your own games.

(1 review)

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Read more about Digital Foundations: Introduction to Media Design with the Adobe Creative Cloud - Revised Edition

Digital Foundations: Introduction to Media Design with the Adobe Creative Cloud - Revised Edition

Copyright Year: 2017

Contributors: burrough and Mandiberg

Publisher: Open Oregon Educational Resources

License: CC BY-NC-SA

Digital Foundations uses formal exercises of the Bauhaus to teach the Adobe Creative Suite. All students of digital design and production—whether learning in a classroom or on their own—need to understand the basic principles of design in order to implement them using current software. Far too often design is left out of books that teach software for the trade and academic markets. Consequently, the design software training exercise is often a lost opportunity for visual learning. This revised edition updates the original text for use with Adobe Creative Cloud 2017 software.

(15 reviews)

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Read more about First Semester in Numerical Analysis with Julia

First Semester in Numerical Analysis with Julia

Copyright Year: 2019

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)

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Read more about x86-64 Assembly Language Programming with Ubuntu

x86-64 Assembly Language Programming with Ubuntu

Copyright Year: 2019

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)

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