Day1: Great Lakes
Want to use statistics in the real world? Jump into this field study with your research team and faculty mentors to investigate a threatened native species.
Day1: Great Lakes offers a unique learning experience that pairs field work with statistics, letting you work with data in a way that really matters.
Before classes start, collect data on Pitcher’s thistle — a local plant species now considered to be threatened — during a three-day field research experience on Lake Michigan's sand dunes. Then, analyze this and other Great Lakes data using the statistical methods you will learn throughout the semester. In addition to the math and fieldwork, Day1: Great Lakes will grapple with the ecological issues facing the Great Lakes and highlight the importance of research, public policy and personal involvement.
- Combines a first-year seminar course with a fall semester Statistical Methods course, which counts towards your graduation requirements
- Live with other science, math and engineering students your first year in a vibrant and dedicated living-learning community based in Lichty Hall
- Work together in small research teams to do hands-on field research and data analysis that contributes to solving real-life challenges
- Immerse yourself in a community of scholars critically discussing and examining important issues affecting the Great Lakes
- Conduct research projects with real Great Lakes data: Ask a research question, design and conduct a statistical investigation and present your findings
- Jump start your college experience by coming to campus early for a three-day research experience in the field beginning August 24
Dr. Paul Pearson, Dr. Yew Meng Koh and Dr. Brian Yurk
Interested in Great Lakes field research?
Learn more about statistics and the Great Lakes.
Explore what the current students are saying and doing on the Day1: Great Lakes blog.
VanderWerf Hall27 Graves PlaceVanderWerf-Room 232Holland, MI 49423