Carl Lee's Home Page

           Professor, Statistics , Department of Mathematics ,     
         Central Michigan University 
Mt. Pleasant, MI 48859

 Senior Research Fellow, Institute of Health and Business Insights

Program Director,  Data Mining/Analytics Program

Dow Chemical Certified Six Sigma Black Belt

 

 

Interested in M.S. in Data Science? Visit our newly created program in Data Science:  M.S. in Applied Statistics & Analytics at Central Michigan University.

First cohort starting in Fall 2016. Now accepting application. See the web site:  Application for Admission & Support.

 

 

Call for Manuscript submission: Journal website: http://www.JSDAjournal.com/ 

Journal of Statistical Distributions and Applications is an international refereed journal that publishes high quality papers related to statistical distributions, modeling and applications.

 

 

 

 e-mail: carl.lee@cmich.edu

Office Phone: (989)774-3555

RESUME (updated September, 2016)

 I received a Ph.D. in Statistics in 1984 from the Department of Statistics, Iowa State University.  Currently, I am a full professor of statistics in the Department of Mathematics, and serve as the program director for the Data Mining/Analytics program at Central Michigan University. I am a Dow Chemical Six Sigma Black Belt. I am also working as a senior faculty research fellow at the Institute of Health and Business Insights. The research projects are data mining and business intelligence projects from industries, such as Dow Chemical, Dow Corning, EDS, Eli-Lily, International Paper, Henry Ford Hospital Systems and so on. My current research interest are statistical distributions, modeling and applications, data mining/analytics and applications, statistical education on the effectiveness of active learning and flipped classes.

Awards, Honors and Distinctions

  • 2016: College Outstanding Service Award, College of Science & Engineering, Central Michigan University
  • 2016: University Faculty Distinguish Service Award, Central Michigan University
  • 2014: Central Michigan University Nominee for the 2014 US Professors of the Year Award, CASE and Carnegie Foundation for the Advancement of Teaching
  • 2014: College Outstanding Research Award, College of Science & Technology, Central Michigan University
  • 2014: Central Michigan University Nominee for the 2014 Distinguished Professor of the Year Award, The Presidents Council, State Universities of Michigan
  • 2013: Co-Chief Editor, Journal of Statistical Distributions and Applications (http://www.jsdajournal.com / )
  • 2009: College Outstanding Teaching Award, College of Science & Technology, Central Michigan University
  • 2008: Elected Fellow, American Statistical Association
  • 2007: First Place, the First International Quality Improvement Project Competition in Education, American Society of Quality.   The project title: Six Sigma project for improving mathematics placement at CMU.
  • 2006: University Presidential Research Award for outstanding scholarly activity achievement, Central Michigan University
  • 2006: Certified Six Sigma Black Belt by the Dow Chemical Company
  • 2004: Distinguished Leadership Award in the Field of Statistical Education and Applied Statistics
  • 2003: The International Directory of Distinguish Leadership, American Biographical Institute
  • 2001: Outstanding Service Award, American Statistical Association
  • 1998: Elected Member of the International Statistical Institute

Ph.D. in Mathematical Sciences with Concentration in Statistics

Newly revised PhD program with concentration in Statistics. The program offers teaching internship for students choosing career in collegiate career and industrial internship for students choosing career in industry.

M.S. in Applied Statistics & Analytics

The program has two tracks: Applied Statistics and Big Data Analytics. Two year program. Internship is required. Two SAS professional certificate exams are offered on campus.

Graduate Certificate Program in Data Mining  

 Our program integrates data mining, text mining and GIS in the curriculum. Students will also receive the SAS Data Mining Certificate.

Real-Time Online Database for Hands-on Activities

Visit our NSF supported real-time hands-on activities. Instructors from over 40 institutions have used the real-time hands-on activities in their instructions.

ICOSDA2016

2nd International Journal on Statistical Distributions and Applications. October 13- 15, 2016 at Niagara Falls, Canada

JSDA

Journal of Statistical Distributions and Applications. Publish high quality papers related to distributions and applications published by Springer.

CAUSE Website  

An undergraduate statistics education information portal developed and managed by the Consortium for the Advancement of Undergraduate Statistics Education.

USPROC (Undergraduate Statistics Project Competition)

If your students conduct projects, this is an opportunity for them to compete and win awards.

SPSS Online Training Workshop 

Visit one of the most popular online training workshop to learn how to use SPSS for data analysis.

Institute of Health & Business Insight

Institute of Health & Business Insight, An applied analytics research center providing consulting work for industries and business.

Job rating in 2016

Actuary, Mathematician, Statistician and Data Scientist are among the top six best jobs.

 

Courses Taught

 

 Introductory Statistics

Elementary Statistical Analysis

Introduction to Statistics - Online

Applied Statistical Method I

 

 Applied Statistical Methods II - Senior/Graduate

Mathematical Statistics I - Senior/Graduate

Mathematical Statistics II - Senior/Graduate

Six Sigma Strategy and Implementation - Senior/Graduate

 

Statistical Quality Improvement - Senior/Graduate

Design of Experiments - Senior/Graduate

Multivariate Analysis and Applications - Graduate Level

Theory of Statistical Inference - Graduate

 

Statistical Programming and Data Management -Senior/graduate

Advanced Statistical Programming for Data Management and Analysis -Graduate

Linear Models - Graduate

Generalized Linear Models - Graduate

 

Data Mining Techniques Senior/graduate

Advanced Data Mining Techniques - Graduate

 

 

 

Teaching Philosophy

Pace Model