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Linear Algebra with Applications
Copyright Year: 2018
Contributor: Nicholson
Publisher: Lyryx
License: CC BY-NC-SA
After being traditionally published for many years, this formidable text by W. Keith Nicholson is now being released as an open educational resource and part of Lyryx with Open Texts! Supporting today's students and instructors requires much more than a textbook, which is why Dr. Nicholson opted to work with Lyryx Learning.
(3 reviews)
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)
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.
No ratings
(0 reviews)
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.
(5 reviews)
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)
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)
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)
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)
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)
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)