This is the website for Applied Time Series Analysis (FISH 507) offered at the University of Washington during winter quarter of odd years.

Instructors

Eli Holmes
eeholmes@uw.edu

Eric Ward
warde@uw.edu

Mark Scheuerell
scheuerl@uw.edu

Lectures

Tuesday & Thursday from 1:30-2:50 in FSH 203

Computer Lab

Thursday from 3:00-3:50 in FSH 203

Grading

Your grade for the course will come from 4 elements.

Homework (30%)

Homework will be assigned each Thursday and is due by 5:00 PM PST on the following Thursday. It will consist of some short answers and R code based on topics covered in lab. There will be 6 assignments worth 5% each.

Homework will be submitted via…

Individual project (40%)

Each student will have to write a complete, publishable (<20 page) paper that may, or may not, serve as a component of their thesis/dissertation. Given that some students might not have their own data, these papers can be done alone, or in pairs (expectations will be higher for joint work). Students may also use data from the instructors, or datasets included in R libraries. The paper is due by 11:59 PM PST on March 15.

Peer reviews (20%)

Each student will have to provide 2 anonymous peer-reviews of their colleagues’ papers (10% each), which are due by 11:59 PM PST on March 21.

Participation (10%)

This is a graduate-level course and we expect a certain amount of engagement from each student, which includes attending lectures and computer labs.

Conduct

We expect everyone to abide by the UW Student Code of Conduct. If you believe you have been a victim of an alleged violation of the Student Conduct Code or you are aware of an alleged violation of the Student Conduct Code, you have the right to report that to the University (contact info here).