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.

Prerequisites: EEMB 146 with a grade of C- or better.

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Letters and science

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NH 1111
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09:30 AM - 10:45 AM
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PHELP1529
R
09:00 AM - 11:50 AM
0 / 13
PHELP1526
R
14:00 PM - 16:50 PM
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Winter 2024 . Proulx S R
PHELP1508
M W
09:30 AM - 10:45 AM
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EEMB 174 Proulx S R Winter 2024 Total: 6
EEMB 174 Proulx S R Winter 2023 Total: 8
EEMB 163
0 / 80 Enrolled
Deep-Sea Biology
James Childress 1.0
T R
08:00 AM - 09:15 AM
35.3% A
EEMB 179
0 / 44 Enrolled
Ecological Modeling
Holly Moeller 4.3
W F
11:00 AM - 12:15 PM
42.8% A
EEMB 179H
0 / 10 Enrolled
Ecological Modeling - Honors
Holly Moeller 4.3
100.0% A
EEMB 183
0 / 1 Enrolled
Introduction to Teaching in Biology
T B A
100.0% A
EEMB 184
0 / 1 Enrolled
Internship in Biological Sciences
T B A
99.4% A
EEMB 185
0 / 20 Enrolled
Field Work in Oceanography
Craig Carlson 4.1
100.0% A
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