the scholar
Professor Dillard takes pride in teaching mathematics and statistics. He primarily teaches courses that equip students with the technical background needed to become major players in business and industry. Second, his passions lie with raising the level of financial literacy among students as well as colleagues.
His scholarship bridges the gap between statistical theory and its practical applications. His teaching style employs and unusual type of humor to disarm students’ nervousness about math and reduce their own sense of math anxiety. One of his key missions is to help all students realize that there is a mathematician that lies inside of all of us.
Teaching Videos
Articles and Reviews
Financial Literacy: The Child Left Behind
Navigating Virtual Turbulence During the Pandemic: Reflections and Lessons
Skewed to the Write: Bolstering Student Comprehension in Introductory Statistics Courses
A Review of The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day
The Glass Is Still Half Full: On Maintaining Positive Perspectives
Wavelet-Based Monitoring for Disease Outbreaks and Bioterrorism: Methods and Challenges
Hey, Who Turned Off the Lights?
The Cutting-Stock Approach to Bin Packing: Theory and Experiments
Textbooks
(2018)
In an effort to address the lack of financial literacy among college students, Professor Dillard authored Moneymatics: Where Money and Mathematics Meet. It is a college-level textbook that explores mathematical content strictly within the context of personal finance. The text assumes that students have a basic understanding of algebra and is available here:
Paperback ISBN 978-1-52-494982-2
Ebook ISBN 978-1-52-495388-1
Sample of Topics
Interest and Savings
Present Value of an Annuity
Future Value of an Annuity
Budgeting and Taxation
Linear Regression
Stocks and Time Series
(2016)
Professor Dillard is the co-author of Elementary Statistics (4th edition), an introductory-level textbook for college students. It introduces concepts using real-life examples and scenarios, eventually discussing underlying statistical ideas. It’s great for those who have math anxiety and/or struggle with math. The text includes a study app to assist with test preparation and is available here:
Paperback ISBN 978-1-79-240045-2
Ebook ISBN 978-1-79-241187-8
Sample of Topics
Regression
ANOVA
Time Series
Chi square
Hypothesis Testing
Confidence Intervals