We are pleased to offer two continuing education courses this year. Both courses are offered Monday March 18 and space will be contingent upon availability. Early bird pricing will end on February 22, so sign up soon!

 

AMSEA: Alaska Marine Safety Education Association

Course Date: Monday, March 18, 2019; 8am-6:30pm (30-minute lunch break)
Class Location: Harrigan Centennial Hall
Instructor: Jerry Dzugan; director@amsea.org
Format: Presentation with discussion input from attendees. Equipment demonstration.
Cost: $150 before Feb 22, $175 after; minimum attendance is 8; maximum is 16.
Description: One day marine safety and survival course. Attendees will receive an AMSEA certificate of training. The class will cover immersion suit, life raft, EPRIB, and other survival equipment use. The class will also cover emergency procedures such as safety orientations, 7 steps to survival, emergency drills, cold water survival, firefighting and flooding control, USCG helicopter rescue, risk assessment theory and assessment tools. In addition, this class will cover ergonomics (lifting/moving), repetitive motion prevention and exercises. This class is geared towards scientists and marine researchers. Please bring a lunch since there will be discussion over lunchtime.

 

An Introduction to R

Course Date: Monday March 18, 2019; 9am – 5pm (1 hour lunch break)
Class Location: Harrigan Centennial Hall
Instructor: Greg Merrill, UAA graduate student; gbmerrilljr@alaska.edu
Cost: $60 before Feb 22, $70 after; minimum attendance is 8; maximum is 25
Description: This full-day course will introduce students to R and R Studio, a suite of opensource software for data processing, manipulation, calculation and visualization. The beginning of the course will focus on how to properly store and manage data (eg. long format), how to read data into R (e.g., document.csv), checking datasets for errors (“NA”, “NaN”, variable information), processing (dplyr), and application and interpretation of statistical models (ANOVAs, and multivariate linear models). Once students have mastered the basics, we will pursue an introduction into data visualization using ggplot2 and various GIS-capable R packages. Topics will be introduced in lecture format proceeded with worked-examples/group exercises. Examples will be executed using built-in R datasets as well as publicly available fisheries data. Additional topics will include packages and associated functions spanning data input/output, data creation, dataframe slicing and extracting, data selection and manipulation, variable conversion, and mathematical operations. Please download and install the latest version of R and R Studio from the R project website before class: https://cran.cnr.berkeley.edu/
If you need guidance, please email the instructor prior to the class.
Students will require a laptop with an active internet connection. It is highly recommended that you bring a mouse, wired or wireless; not required but laptop trackpads will slow down efficient navigation of the R environment.