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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