Course Syllabus

Course overview

Tuesday and Thursday 11:30a-1:20p in MGH 044 (maximum class size 43). Ten combined lecture/labs from 25 September through 28 October. Followed immediately by 10 lectures of FISH 553 Advanced R Programming.  

Instructor: Gordon Holtgrieve,, phone: 206-616-7041, office: FSH (Fishery Sciences Bldg.) 316B. Office hours by appointment.

Teaching assistant: Melissa Muradian,, office: Y.  Office hours 10:00a – 11:00a Tuesdays.

Learning objectives

This course provides an introduction to the statistical computing language R for graduate students with no prior background in R or programming.  By the end of this course students will be able to write R scripts that read, store, and manipulate data, perform basic statistical analyses, produce basic graphics, and fit simple linear models.  Basic programming concepts such as structured and object oriented programming, conditionals, and debugging will also be discussed.

Required readings

Course handouts and lectures. No required textbook, but students may find it useful to borrow a copy of “Getting started with R: an introduction for biologists” by Beckerman and Petchey.

Evaluation and grading

Credit/no credit, 2 credits. Credit awarded based on the completion of all assigned weekly homework exercises, which will average 4 hours per week. 

Course Summary:

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