The College Algebra course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2019. The course is part of the Ohio Transfer Module and is also named TMM001. For more information about credit transfer between Ohio colleges and universities, please visit: www.ohiohighered.org/transfer.Team LeadNicholas Shay                                     Central Ohio Technical College (now at Columbus State Community College)Content ContributorsRachida Aboughazi                            Ohio State UniversityEvelyn Kirschner                                Columbus State Community CollegeDavid Kish                                          Ohio Dominican UniversityLibrarianDaniel Dotson                                    Ohio State University                     Review TeamFauna Donahue                                University of Rio GrandeJared Stadden                                   Kent State University Geauga 

Ordinary Differential Equations course developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in December 2019. The course is part of the Ohio Transfer Module and is also named TMM 020. For more information about credit transfer between Ohio colleges and universities, please visit: www.ohiohighered.org/transfer.Team LeadAnna Davis                                         Ohio Dominican UniversityContent ContributorsJustin Greenly                                      Franciscan University of SteubenvilleFelipe L. Martins                                  Cleveland State UniversityPaul Zachlin                                       Lakeland Community CollegeLibrarianDaniel Dotson                                    Ohio State University                     Review TeamEmi Arima                                        Columbus State Community College

The Abstract Algebra course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2019. Team LeadAnna Davis                                         Ohio Dominican UniversityContent ContributorsMatt Davis                                          Muskingum UniversityRob Kelvey                                        College of WoosterLibrarianDaniel Dotson                                    Ohio State University                     Review TeamJim Cottrill                                          Ohio Dominican UniversityBart Snapp                                          Ohio State University

1.1 Definitions of Statistics, Probability, and Key Terms

The mathematical theory of statistics is easier to learn when you know the language. This module presents important terms that will be used throughout the text.

Included here are resources found in individual topics. These includeOpenStax Textbook Introductory Statistics by Barbara Illowsky and Susan Dean  (senior contributing authors) in pdf format.Class Worksheets, Spreadsheets and Course Final Project developed by Statistics Team -Sara Rollo, Assistant Professor, Mathematics,College Mathematics Program Coordinator, North Central State College, 2441 Kenwood Circle, Mansfield, Ohio 44906Nicholas Shay, Assistant Professor of Mathematics, Central Ohio Technical Colleg, 165 Hopewell Hall, Newark, OH 43055Emily Dennett, Assistant Professor of Mathematics, Central Ohio Technical Colleg, 165 Hopewell Hall, Newark, OH 43055Chan Siriphokha, Assistant Professor, Clark State CC, Greene Center, 3775 Pentagon Blvd, Beavercreek, OH 45431Dr. Kameswarrao Casukhela, Senior Lecturer, Department of Mathematics, The Ohio State University at Lima, 4240 Campus Drive, Lima, Ohio 45806Quick Adoption Guide

This is a web-based, interactive, introductory linear algebra text. Interactive elements include auto-graded exercises, built-in GeoGebra activities, and Octave code. Topics include vectors and matrices, linear systems, vector spaces (R^n and abstract), linear transformations, eigenvalues, orthogonality, and determinants. Strong emphasis is placed on geometry and visualization. Several applications are included, and links to numerous applications are provided.

The Calculus I course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in February 2019. The course is part of the Ohio Transfer Module and is also named TMM005. For more information about credit transfer between Ohio colleges and universities, please visit: transfercredit.ohio.gov.Team LeadJim Fowler                                         Ohio State UniversityRita Ralph                                         Columbus State Community CollegeContent ContributorsNela Lakos                                       Ohio State UniversityBart Snapp                                       Ohio State UniversityJames Talamo                                  Ohio State UniversityXiang Yan                                         Edison State Community CollegeLibrarianDaniel Dotson                                    Ohio State University                     Review TeamThomas Needham                             Ohio State UniversityCarl Stitz                                            Lakeland Community CollegeSara Rollo                                          North Central State College 

The Elementary Math Education course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in October 2019. Team LeadBradford Findell                                Ohio State UniversityContent ContributorsVictor Ferdinand                               Ohio State UniversityHea-Jin Lee                                      Ohio State University LimaJenny Sheldon                                  Ohio State UniversityBart Snapp                                       Ohio State UniversityRajeev Swami                                  Central State UniversityRon Zielker                                       Ohio Dominican UniversityLibrarianCarolyn Sanders                               Central State UniversityReview TeamAlice Taylor                                       University of Rio Grande

Sometimes it is difficult to measure or find information on a variable of interest. The problem then is to use information from easily measurable variables to find the needed information. Naturally, the variables to use must be related to the variable of interest. In this module we will study about relationships between two quantitative variables. We will explore some standard mathematical (linear, quadratic, cubic, etc.) forms of relationships.Learning Objectives:Identify response and explanatory variablesGiven bivariate data make a scatterplot of data and predict the pattern and strength of the relationship between the variablesLinear relationshipDefine correlation, study its properties and use themFind correlation for a bivariate data and interpret the resultsInterpret the square of the correlationTest for the significance of correlation – set up hypothesis and interpret the p-value of the testLinear relationship – Estimate the linear relationship between the two variables.Interpret slope and intercept.Interpret the square of the correlationStudy residuals and residual plots,Distinguish between the terms correlation and causationTest for the significance of the slope coefficient – set up hypothesis and interpret the p-value of the test.Study quadratic and other non-linear models.Textbook Material -  Chapter 12 – Correlation and Regression – Pages 673 - 699

The Pre-Calculus course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2019. The course is part of the Ohio Transfer Module and is also named TMM002. For more information about credit transfer between Ohio colleges and universities, please visit: www.ohiohighered.org/transfer.Team LeadKameswarrao Casukhela                   Ohio State University LimaContent ContributorsLuiz Felipe Martins                             Cleveland State UniversityIeda Rodrigues                                   Cleveland State UniversityTeri Thomas                                        Stark State CollegeLibrarianDaniel Dotson                                     Ohio State University                     Review TeamAlice Taylor                                        University of Rio GrandeRita Ralph                                          Columbus State Community College

Sometimes it is difficult to measure or find information on a variable of interest. The problem then is to use information from easily measurable variables to find the needed information. Naturally, the variables to use must be related to the variable of interest. In this module we will study about relationships between two quantitative variables. We will explore some standard mathematical (linear, quadratic, cubic, etc.) forms of relationships.Learning Objectives:Identify response and explanatory variablesGiven bivariate data make a scatterplot of data and predict the pattern and strength of the relationship between the variablesLinear relationshipDefine correlation, study its properties and use themFind correlation for a bivariate data and interpret the resultsInterpret the square of the correlationTest for the significance of correlation – set up hypothesis and interpret the p-value of the testLinear relationship – Estimate the linear relationship between the two variables.Interpret slope and intercept.Interpret the square of the correlationStudy residuals and residual plots,Distinguish between the terms correlation and causationTest for the significance of the slope coefficient – set up hypothesis and interpret the p-value of the test.Study quadratic and other non-linear models.Textbook Material -  Chapter 12 – Correlation and Regression – Pages 673 - 699

International Economics: Theory and Policy is built on Steve Suranovic’s belief that students need to learn the theory and models to understand how economics works and how economists understand the world. And, that these ideas are accessible to most students if they are explained thoroughly.

So, if you are looking for an International Economics text that will prepare your PhD students while promoting serious comprehension for the non-economics major, Steve Suranovic’s International Economics: Theory and Policy is for you.

International Economics: Theory and Policy presents numerous models in some detail; not by employing advanced mathematics, but rather by walking students through a detailed description of how a model’s assumptions influence its conclusions. Then, students learn how the models connect with the real world.

Steve’s book covers positive economics to help answer the normative questions; for example, what should a country do about trade policy, or about exchange rate policy? The results from models give students insights that help us answer these questions. Thus, this text strives to explain why each model is interesting by connecting its results to some aspect of a current policy issue.

This text eliminates some needlessly difficult material while adding and elaborating on other principles. For example, the development of the relative supply/demand structure, or the presentation of offer curves, are omitted as to not go too deeply into topics that tend to confuse many students at this level.

Steve developed new approaches in this text including a simple way to present the Jones’ magnification effects, a systematic method to teach the theory of the second best, and a unique description of valid reasons to worry about trade deficits. These new approaches help students learn the concepts and models and derive conclusions from them.

If you like to take a comprehensive look at trade policies, be sure to check out the chapter on Trade Policy (7). It provides a comprehensive look at many more trade policies than are found in many of the printed textbooks on the market today.

International Economics: Theory and Policy by Steve Suranovic is intended for use in a full semester trade course, a full semester finance course, or a one semester trade/finance course.

The Linear Algebra course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in November 2018. The course is part of the Ohio Transfer Module and is also named OMT019. For more information about credit transfer between Ohio colleges and universities, please visit: transfercredit.ohio.govTeam LeadAnna Davis                                         Ohio Dominican UniversityContent ContributorsPaul Bender                                       Ohio Dominican UniversityRosemarie Emanuele                        Ursuline CollegePaul Zachlin                                       Lakeland Community CollegeLibrarianDaniel Dotson                                    Ohio State University                     Review TeamJim Fowler                                         Ohio State UniversityJim Cottrill                                          Ohio Dominican University

The Calculus II course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in February 2019. The course is part of the Ohio Transfer Module and is also named TMM006. For more information about credit transfer between Ohio colleges and universities, please visit: transfercredit.ohio.gov.Team LeadJim Fowler                                         Ohio State UniversityRita Ralph                                         Columbus State Community CollegeContent ContributorsNela Lakos                                       Ohio State UniversityBart Snapp                                       Ohio State UniversityJames Talamo                                  Ohio State UniversityXiang Yan                                         Edison State Community CollegeLibrarianDaniel Dotson                                    Ohio State University                     Review TeamThomas Needham                             Ohio State UniversityCarl Stitz                                            Lakeland Community CollegeSara Rollo                                         North Central State College

Introductory statistics course developed through the Ohio Department of Higher Education OER Innovation Grant. The course is part of the Ohio Transfer Module and is also named TMM010. For more information about credit transfer between Ohio colleges and universities please visit: www.ohiohighered.org/transfer.Team LeadKameswarrao Casukhela                     Ohio State University – LimaContent ContributorsEmily Dennett                                       Central Ohio Technical CollegeSara Rollo                                            North Central State CollegeNicholas Shay                                      Central Ohio Technical CollegeChan Siriphokha                                   Clark State Community CollegeLibrarianJoy Gao                                                Ohio Wesleyan UniversityReview TeamAlice Taylor                                           University of Rio GrandeJim Cottrill                                             Ohio Dominican University

Summary
Introductory Statistics 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.

Senior Contributing Authors
Barbara Illowsky, De Anza College
Susan Dean, De Anza College

Instructors: The Third Edition includes a set of test banks which are not available to the public. For access to these resources, please contact Dr. Barbara Tucker at btucker@daltonstate.edu.

Exploring Public Speaking: The Free College Public Speaking Textbook began as the brainchild of Dr. Kris Barton, Chair of the Department of Communication at Dalton State College. It also was made possible through a generous Textbook Transformation Grant in 2015 from Affordable Learning Georgia, a highly successful program of the University System of Georgia. Dr. Barton asked me to help him author/compile the text.

The goal was to provide a high-quality, usable, accessible, and low-cost textbook for the hundreds of students who take COMM 1110 at Dalton State College every year. This course is required of all degree-seeking students. We have been able to save students hundreds of thousands of dollars already with this text. Unexpectedly and happily, the text has also been downloaded close to 14,000 times (as of August 2018) all over the world and has been adopted at many other institutions.

Dr. Barton and I worked on creating the textbook from July 2015 until May 2016, with the goal of going live with the text in Summer of 2016. Tragically Dr. Barton passed away in early May, a reality that still does not seem real. He has been greatly missed as a friend, colleague, father, scholar, teacher, and mentor.

The launch of the book proceeded; however, due to the loss of Dr. Barton, the ancillaries were not finished. In Summer 2017 I took on a significant revision and updating which I named the Second Edition. I included in that edition information on college student success in the appendices. In January 2018, a colleague, Matthew LeHew, and I won a grant from the University System to create the ancillaries and improve the format for more accessibility. I decided to remove the “Dalton State” from the title and most examples for wider appeal. An appendix on library research retains the information for specific use of Roberts Library on our campus.

Over 90% of the book is original with Dr. Barton, me, or other colleagues at Dalton State College. Some parts, specifically from Chapters 9, 10, and 15, are adapted from another open resource public speaking text whose author prefers not to be cited.

This Third Edition, along with including necessary updates and being formatted with different software, includes four more appendices: one on online speaking, one on APA, one on humor and storytelling in public speaking, and one on Dalton State’s Library. I have also tried to clarify concepts, to provide “case studies” to show the rhetorical process, and include more outlines and examples.

We think this book is especially useful in coverage of PowerPoint, audience responsiveness, ethics in public speaking, special occasion speeches, and structure of speeches. Three ancillaries are available: electronic “flash cards” for study, Powerpoints on the 15 main chapters, and test banks for the 15 main chapters.

Thank you for downloading Exploring Public Speaking, and the co-authors and I truly wish you happy teaching and learning with it. We welcome input. If you choose to use it, let us know at btucker@daltonstate.edu.

The most common way to calculate the correlation coefficient (r) is by using technology, but using the formula can help us understand how r measures the direction and strength of the linear association between two quantitative variables.

In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students' maturity level.

The most common way to calculate the correlation coefficient (r) is by using technology, but using the formula can help us understand how r measures the direction and strength of the linear association between two quantitative variables.

Introductory Statistics 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.

These Google Documents from Liberty Public Schools (LPS) include their #GoOpen Course Curriculum for the OER courses the district has written so far. Also includes resources that other districts can use for their OER adoption work, including the LPS OER Copyright Guidelines, LPS OER Budget Template, an the LPS OER Vetting Document, among other resources.

This is the Ohio Semiconductor Collaboration Network (OSCN) Introduction to Manufacturing-16 Week course.  Please note, these materials can be used in a 16-week or 8 week format. As improvements are made, the content will be updated--so check back frequently!For questions, please email: Elicia Flom: eflom1@cscc.edu

When you teach Introduction to Psychology, do you find it difficult – much harder than teaching classes in statistics or research methods? Do you easily give a lecture on the sympathetic nervous system, a lecture on Piaget, and a lecture on social cognition, but struggle with linking these topics together for the student? Do you feel like you are presenting a laundry list of research findings rather than an integrated set of principles and knowledge? Have you wondered how to ensure your course is relevant to your students? If so, then you have something in common with Charles Stangor.Charles Stangor's Introduction to Psychology utilizes the dual theme of behavior and empiricism to make psychology relevant to intro students.Charles wrote this book to help students organize their thinking about psychology at a conceptual level. Five or ten years from now, he does not expect his students to remember the details of most of what he teaches them. However, he does hope that they will remember that psychology matters because it helps us understand behavior and that our knowledge of psychology is based on empirical study.This book is designed to facilitate these learning outcomes, and he has used three techniques to help focus students on behavior:Chapter Openers: Each chapter opens showcasing an interesting real world example of people who dealing with behavioral questions and who can use psychology to help them answer them. The opener is designed to draw the student into the chapter and create an interesting in learning about the topic.Psychology in Everyday Life: Each chapter contains one or two features designed to link the principles from the chapter to real-world applications in business, environment, health, law, learning, and other relevant domains. For instance, the application in Chapter 7 on Development, “What makes good parents” applies the concepts of parenting styles in a mini-handbook about parenting, and the application in Chapter 3 is about the difficulties that left-handed people face performing everyday tasks in a right-handed world.Research Foci: Introduction to Psychology emphasizes empiricism throughout, but without making it a distraction from the main story line. Each chapter presents two close-ups on research -- well articulated and specific examples of research within the content area, each including a summary of the hypotheses, methods, results, and interpretations. This feature provides a continuous thread that reminds students of the importance of empirical research. The research foci also emphasize the fact that findings are not always predictable ahead of time (dispelling the myth of hindsight bias), and also help students understand how research really works.Charles Stangor's focus on behavior and empiricism has produced, Introduction to Psychology, a text that is better organized, has fewer chapters, and is somewhat shorter than many of the leading books.

Have you ever had trouble teaching the various topics of social psychology and fitting them together to form a coherent field? Dr. Stangor felt like he was presenting a laundry list of ideas, research studies, and phenomena, rather than an integrated set of principles and knowledge. He wondered how his students could be expected to remember and understand the many phenomena that social psychologists study? How could they tell what was most important? It was then that he realized a fresh approach to a Social Psychology textbook was needed to structure and integrate student learning; thus, Principles of Social Psychology was born. This textbook is based on a critical thinking approach, and its aim is to get students thinking actively and conceptually Đ with a greater focus on the forest than the trees. Yes, there are right and wrong answers, but the answers are not the only thing. What is perhaps even more important is how students get to the answers Đ the thinking process itself. To help students better grasp the big picture of social psychology, and to provide you with a theme that you can use to organize your lectures, Dr. Stangor's text has a consistent pedagogy across the chapters.

From audience analysis to giving a presentation, Stand up, Speak out: The Practice and Ethics of Public Speaking will guide students through the speech making process. The authors focus on the process of speech making because they have created this book to be a user-friendly guide to creating, researching, and presenting public speeches. While both classic and current academic research in public speaking guide this book, the authors believe that a new textbook in public speaking should first, and foremost, be a practical book that helps students prepare and deliver a variety of different types of speeches — and that is the primary goal of this book.With practicality in mind, the authors developed, Stand up, Speak out: The Practice and Ethics of Public Speaking, as a streamlined public speaking textbook. Many public speaking textbooks today contain over twenty different chapters, which is often impossible to cover in a ten-week quarter or a sixteen-week semester; this textbook is eighteen unique chapters. The fifteen chapters are divided into four clear units of information: introduction to public speaking, speech preparation, speech creation, and speech presentation.