Thursday, February 27

Summer Program Enhancing Linkages between Mathematics and Ecology

FYI, math ecology summer course at KBS.

From: Colin Kremer <ctkremer@gmail.com>
Date: Thu, Feb 20, 2014 at 8:27 AM
Subject: ELME 2014 courses, Michigan State U: June 2-6 

ELME is a summer program at the Kellogg Biological Station 
devoted to Enhancing Linkages between Mathematics and Ecology.
 
Research often involves addressing hypotheses with data that 
are non-linear, non-normal, hierarchical or otherwise complex. 
This year's ELME program focuses on introducing graduate 
students (or advanced undergraduates) to modern statistical 
methods that make it possible to link theory with empirical 
reality in ecological and evolutionary research. The program 
will consist of three, intensive week-long courses:
 
Week 1: Maximum likelihood analysis in ecology, June 2-6
Instructor: Colin Kremer, Michigan State University
 
Week 2: Introduction to Bayesian statistics for ecologists, 
June 9-13, Instructor: Tom E.X. Miller, Rice
 
Week 3: Modeling systems with causal networks (Structural 
Equation Modeling), June 16-20
Instructor: Don Schoolmaster, USGS
 
Admissions/enrollment:
 
- For general course and enrollment information visit: http://www.kbs.msu.edu/education/summer-courses/elme
- Some previous experience with statistics (including 
generalized linear models) and exposure to the statistical 
programming language R are desirable (or a willingness to 
learn fast!)
- Admissions favors students who can enroll through MSU or 
a participating CIC institution.
- Scholarship support for tuition & housing is available on a 
competitive basis, to apply see: http://www.kbs.msu.edu/education/scholarships
 
Please direct any questions to: elme2014@kbs.msu.edu
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