Spring
Some years:
ECOL 8990 (3
credits) Likelihood based inference in Ecology
The
class will cover the fundamentals of likelihood-based statistical
inference, and will cover some specific applications in Ecology.
We will touch on some multivariate data analysis approaches,
spend significant time on maximum likelihood parameter estimation and
hypothesis testing, some aspects of bayesian analysis, some simulation
techniques and a little stochastic modeling. We will make use of
R and students are encouraged to bring data sets for class
projects. I will provide some theoretical background but the
emphasis will be on relating data to models in an applied fashion.
Alternating
years: ECOL 8322 (4
credits) Ecosystem concepts
This
class, which is a requirement for the PhD program, provides a in depth
survery of foundational concepts in ecosystem ecology. |
Fall
ECOL3500/BIOL3500
Ecology (4 credits)
This
class will cover the fundamentals of Ecology, beginning with organisms
and evolution through populations, communities, ecosystems and global
change.
ECOL3505/BIOL3505
Ecology (4 credits)
This
honors version of this class will cover the fundamentals of Ecology,
beginning with organisms
and evolution through populations, communities, ecosystems and global
change, and explore some concepts in greater depth.
ECOL8000
Topics in modern
Ecology (4 credits)
This is
a required class ofr incoming PhD students that serves as a broad
introduction to multiple perspectives in Ecology, and introduces
students to some specific content. |
| General
information |
| Registrar's
website |
| eLC |
| Academic
calendar |
| Undergraduate
Ecology |
Past
Teaching |
Likelihood
methods in biology, Advanced
statistical modeling for biosciences, Principles of
Organismal Biology, Systems Biology
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| ©
Ford
Ballantyne IV, 2012 |
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