FISH F642—Bayesian Decision Theory for Resouce Management
Details
Department: Fisheries (FISH)
Course Number: FISH F642
Credits: 4.0
Grading Type: Letter
Prerequisites: FISH 621 (Estimation of Fish Abundance) or FISH 630 (Natural Resource Modeling) or Permission of Instructor
Description
Application of decision theory to problems in natural resources management. Students will learn to perform Bayesian calculations and uncomplicated decision analysis themselves.
Offerings for Spring 2010
Section F01
CRN: 37146Semester: Spring 2010
Campus: Fairbanks
Start/End Date: January 12–May 10
Textbook: Bayesian data analysis, Author: Gelman, A., ISBN: 1-58488-38-X, 2nd Edition, Publisher: Chapman and Hall
| Days | Times | Room & Building | Instructor |
|---|---|---|---|
| F | 11:45 a.m.–2:45 p.m. | 138 Irving II | Adkison, Milo [webpage] [e-mail] |
| TR | 8:00 a.m.–9:30 a.m. | 138 Irving II | Adkison, Milo [webpage] [e-mail] |
Section FJ1
CRN: 37147Semester: Spring 2010
Campus: Juneau
Start/End Date: January 12–May 10
Textbook: Bayesian data analysis, Author: Gelman, A., ISBN: 1-58488-38-X, 2nd Edition, Publisher: Chapman and Hall
| Days | Times | Room & Building | Instructor |
|---|---|---|---|
| F | 11:45 a.m.–2:45 p.m. | 212 Lena Point | Adkison, Milo [webpage] [e-mail] |
| TR | 8:00 a.m.–9:30 a.m. | 212 Lena Point | Adkison, Milo [webpage] [e-mail] |
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