Full course description
Starts September 28, 2015. Self-paced.
If you are in the business environment, you need to have basic quantitative skills, including a combination of algebra and statistics. If you’ve tried gaining these before in a traditional classroom environment and struggled, this course can help you. You may want to use it as a first step before taking a college course in quantitative methods.
Topics covered will include collecting and interpreting data, finding patterns in data using charts and tables, making sense of data using averages and measures of spread, basic probability, probability distributions, and decision-making techniques. Each topic will be addressed through real-world examples. You use Excel as your analysis tool. And, we strongly recommend you get the book, Essential Quantitative Methods, by Oakshott, available from Amazon.
Activities will primarily include answering questions for which solutions are provided in the text. Assistance from an instructor will be available through the course discussion area. You are encouraged to keep a blog or ePortfolio that includes your work in case you want to use your work as part of an application for college credit in this area. Suggestions will be given for those wishing to document their work for later review. At the end of the course, you’ll be given an option to work on a project to add to your ePortfolio for applying for college credit. No grades will be given for this course.
Required Purchase: You are required to purchase the eBook, Quantitative Methods by Les Oakshott. It costs $17.85 and can be obtained from the Course Smart website.
Betty Hurley, Ed.D.
Area Coordinator, Mathematics
Dr. Betty Hurley has a doctorate in math education from the University of Rochester. She has been at SUNY Empire State College for over 30 years and is currently a professor and area coordinator in mathematics, developing and teaching online math courses. She has co-authored a book, “Foundations of Learning,” and has recently been experimenting with ePortfolios for learning. She has developed some open educational resources (OERs), including a course called, A Mathematical Journey, available through Wikieducator and a course on ePortfolios for STEM educators as an HP Fellow.