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Data Science for Biology
This course will cover an overview of the following topics: designing and managing biological databases; data mining, pattern generation, recognition, and visualization; application of algorithms that enable different environmental datasets to be combined for testing hypotheses. The following subjects will be explored: spatially and temporally explicit modeling of ecological processes; novel approaches in spatial statistics and simulation; and quantifying uncertainty for decision-makers.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.