ECOL 563 Syllabus

Syllabus for Ecology 563—Fall 2008

Week	Date	Topic	Readings
1	Aug 20	Lecture: Observational vs experimental data. Experiments in ecology	Stauffer: Chapter 1.1–1.5, Appendix A
2	25	Lab: Analysis of a 3-factor ANOVA model in R	Stauffer: Section 1.6–1.10
	27	Lecture: Continuous probability models
3	Sept 1	Lab: No class (holiday)
	3	Lecture: Discrete probability models
4	8	Lab: ANOVA problem (continued)
	10	Lecture: Methods of estimation—maximum likelihood	Stauffer: Section 2.1–2.2
5	15	Lab: Maximum likelihood in R
	17	Lecture: Methods of estimation—Bayesian approach	Stauffer: Section 2.3–2.6, Chapter 3 (skim), Chapter 4
6	22	Lab: Introduction to WinBUGS	Stauffer: Section 4.4
	24	Lecture: Methods of model selection	Stauffer: Chapter 5
7	29	Lab: Model selection
	Oct 1	Lecture: Goodness of fit; generalized linear models I	Stauffer: Chapter 6
8	6	Lab: Goodness of fit for count data models
	8	Lecture: Generalized linear models II, predictive simulation
9	13	Lab: Predictive simulation
	15	Lecture: Logistic regression
10	20	Lab: Logistic regression
	22	Lecture: Logistic regression II
11	27	Lab: Logistic regression II
	29	Lecture: Multilevel models I	Stauffer: Chapter 7
12	Nov 3	Lab: The nlme and lme4 packages in R
	5	Lecture: Multilevel models II
13	10	Lab: Hierarchical data in WinBUGS
	12	Lecture: Multilevel models III
14	17	Lab: Lattice graphics for multilevel models. Adding level-1 residual correlation structures to multilevel models.
	19	Lecture: Multilevel models with 3 levels. Estimation methods for multilevel models. Nonlinear mixed effect models.
15	24	Lab: Identifying parameters suitable for random effects modeling. Nonlinear growth models.	Stauffer: Section 7.4
	26	No class—holiday
16	Dec 1	Lab: Nonlinear growth models (continued)
	3	Lecture: Wrap-up	Stauffer: Chapter 8
	6	Final Exam