A model-based approach to modern methods in data analysis. Comparison of statistical approaches including frequentist, likelihood, and Bayesian techniques. Methods for simulating data, estimating parameters for single variable models, constructing multivariate and hierarchical models, model comparison using information criteria, and model suitability using posterior predictive analysis.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitLetters and science
CollegeI never knew what was going on in class. They didn't explain why we needed to know this concept or anything, we were just thrown equations and graphs without any explanation. Midterm was so easy it was actually comical, it was verbatim the weekly problem sets we had to do. They seemed nice, and idk if it was the class, but they cant teach.
Prof. Proulx did a great job teaching Animal Behavior, I liked the video examples he shared. The course was a little more math heavy/ economics based than I expected, lots of graphs, equations, economic analysis but it's not difficult math. He does a great job with explaining lectures thoroughly and is available outside of class for help.
This Professor was the most amazing EEMB professor I've ever had. Really need to be on top of the work in the beginning cause everything builds on each other. Go to office hours. Super nice guy!
Armand Kuris
4.3
Deron Burkepile
4.3
Alyson Santoro
5.0
Holly Moeller
4.4