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Applied Statistics, Spring 2009
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I designed the course for graduate students who use statistics in their research, plan to use statistics, or need to interpret statistical analyses performed by others. The primary audience are graduate students in the environmental sciences, but the course should benefit just about anyone who is in graduate school in the natural sciences. The course is not designed for those who want a simple overview of statistics; we’ll learn by analyzing real data. This course or equivalent is required for UMB Biology and EEOS Ph.D. students. It is a recommended course for several of the intercampus graduate school of marine science program options.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
UMass Boston
Provider Set:
UMass Boston OpenCourseWare
Author:
Eugene Gallagher
Date Added:
10/14/2015
Biological Oceanography, Fall 2008
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CC BY-NC-ND
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This graduate course will introduce students to the processes controlling phytoplankton, zooplankton, heterotrophic bacterial and benthic infaunal growth and abundance. We'll do a broad-scale survey of patterns of productivity and abundance in the coastal zones, upwelling centers, gyres, and the deep sea. We'll briefly survey ecosystem simulation models, especially those applicable to the Gulf of Maine. Readings will be from the primary literature and a few book chapters. The effects of anthropogenic effects on marine communities will be stressed throughout. Calculus will be used throughout the course, but there is no formal calculus requirement.

Subject:
Oceanography
Physical Science
Material Type:
Full Course
Provider:
UMass Boston
Provider Set:
UMass Boston OpenCourseWare
Author:
Eugene Gallagher
Date Added:
10/14/2015
Introduction to Applied Statistics, Summer 2011
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CC BY-NC-SA
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This course provides graduate students in the sciences with an intensive introduction to applied statistics. Topics include descriptive statistics, probability, non-parametric methods, estimation methods, hypothesis testing, correlation and linear regression, simulation, and robustness considerations. Calculations will be done using handheld calculators and the Minitab Statistical Computer Software.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Reading
Syllabus
Provider:
UMass Boston
Provider Set:
UMass Boston OpenCourseWare
Author:
Eugene Gallagher
Date Added:
02/16/2011