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College Algebra Course Content
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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 

Subject:
Mathematics
Algebra
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
01/09/2019
Ordinary Differential Equations Course Content
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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

Subject:
Mathematics
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
01/09/2019
Abstract Algebra Course Content
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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

Subject:
Mathematics
Algebra
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
01/09/2019
Introductory Statistics - Chapter 1: Sampling and Data, Key Terms
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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.

Subject:
Mathematics
Material Type:
Lesson
Module
Unit of Study
Author:
Amanda Postle
Date Added:
08/07/2018
Statistics Course Content, Full Length Quick Adoption Guide, Pooled Resources and Quick Adoption Guide
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CC BY-NC
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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

Subject:
Statistics and Probability
Material Type:
Module
Author:
Kameswarrao Casukhela
Sara Rollo
Nick Shay
Chanpathana Siriphokha
Date Added:
09/06/2018
Linear Algebra: An Interactive Introduction
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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.

Subject:
Mathematics
Algebra
Material Type:
Full Course
Author:
Anna Davis
Paul Zachlin
The Ximera Project
Date Added:
02/01/2023
Calculus I Course Content
Unrestricted Use
CC BY
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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 

Subject:
Mathematics
Calculus
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
09/26/2018
Elementary Math Education Course Content
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CC BY
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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

Subject:
Education
Elementary Education
Mathematics
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
01/09/2019
Statistics Course Content, Correlation and Simple Linear Regression, Correlation and Simple Linear Regression
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CC BY-NC
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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

Subject:
Statistics and Probability
Material Type:
Module
Date Added:
07/03/2018
International Economics: Theory and Policy
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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.

Subject:
Economics
Material Type:
Textbook
Provider:
Flat World Knowledge
Author:
Steve Suranovic
Date Added:
08/01/2010
Remix
Statistics Course Content, Correlation and Simple Linear Regression, Correlation and Simple Linear Regression
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

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

Subject:
Statistics and Probability
Material Type:
Module
Author:
Kameswarrao Casukhela
Date Added:
09/06/2018
Linear Algebra Course Content - First Edition
Unrestricted Use
CC BY
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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

Subject:
Mathematics
Material Type:
Full Course
Provider:
Ohio Open Ed Collaborative
Date Added:
06/29/2018