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 explores the environment.  Day1: Great Lakes explores the environment
  • Learn from professors who use the world as their classroomLearn from professors who use the world as their classroom
  • Day1: Great Lakes starts three days before classesDay1: Great Lakes starts three days before classes
  • Students learn to use equipment to take measurements for real-world dataStudents learn to use equipment to take measurements for real-world data
  • Explore math and science where it mattersExplore math and science where it matters
  • Learn to collect real data in the fieldLearn to collect real data in the field

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.

community details

  • 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

Faculty Mentors

Dr. Paul Pearson, Dr. Yew Meng Koh and Dr. Brian Yurk

pearson    koh    yurk