HOME

 

FISH 507: Computing in Fisheries Assessment and Management 

Class Notes
 
 

Lecture

Date

Topic

1

24 Sept

Introduction to R

2

26 Sept

Numerical integration methods

3

29 Sept

Generalized Linear Models I

4

1 Oct

Generalized Linear Models II

5

3 Oct

Nonlinear minimization methods

6

6 Oct

Linear Mixed Effects Models

7

8 Oct

Nonlinear Mixed Effects Models

8

10 Oct

Numerical differentiation methods

9

13 Oct

ADMB - I

10

15 Oct

ADMB - II

11

17 Oct

Root finding method

12

20 Oct

ADMB - III

13

22 Oct

ADMB - IV

14

24 Oct

Random number generators

15

27 Oct

Non-linear minimization in R

16

29 Oct

ADMB and R

17

31 Oct

No Lecture

18

3 Nov

ADMB and MCMC

19

5 Nov

Random number generation in R

20

7 Nov

Introduction to ADMB-RE

21

10 Nov

Simulation and R

22

12 Nov

Differentiation and integration in R

23

14 Nov

Interpolation Methods

24

17 Nov

Project discussion session

25

19 Nov

WinBUGS-1

26

21 Nov

Model selection methods

27

24 Nov

WinBUGS-2

28

26 Nov

WinBUGS-3

29

28 Nov

No Lecture - Holiday: Thanksgiving

30

1 Dec

Project presentations

31

3 Dec

Project presentations

32

5 Dec

Project presentations

 BACK TO TOP