|
Week |
Date |
Topics |
Software |
|
1 |
|
Model building; Finding the maximum (minimum) of a function |
Excel R Calculus |
|
2 |
|
Maximum likelihood, Likelihood tests, AIC Profile Likelihood Introduction to Bayesian analysis |
Excel R Calculus |
|
3 |
|
Population models Density independence Stochastic effects Density dependence |
R Calculus |
|
4 |
|
Harvest models Source-sink models PVA |
R Calculus, algebra R |
|
5 |
|
Distance estimation |
DISTANCE R |
|
6 |
|
Closed Population CR Bayes examples in WinBUGS
2-phase
adaptive sampling using occupancy and CMR
|
MARK R WINBUGS |
|
7 |
|
Open methods Known fates Nest success |
MARK |
|
8 |
|
Band recovery analysis |
MARK
|
|
9 |
|
C-J-S |
MARK WINBUGS |
|
10 |
|
J-S Analysis Robust estimation |
JOLLY MARK |
|
11 |
|
Occupancy estimation and modeling |
|
|
12 |
Conservation decision making |
Netica |
|
|
13 |
Dynamic decision making for harvest management |
Netica |
|
|
14 |
Stochastic dynamic programming and adaptive optimization |
ASDP |
|
|
28 April |
Project Presentations |
Additional Topics