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BIOL 432 Computation and Big Data in Biology

BIOL 432  Computation and Big Data in Biology  Units: 3.00  

Application of basic coding and analytical methods to obtain, organize, analyze, visualize, and interpret information from large, complex datasets (i.e. 'Big Data') in biology. Datasets may include climate/weather records, 'omics' data, specimen collections, long-term observational studies, journal articles, and other historical and online sources.

Learning Hours: 120 (36 Lecture, 12 Tutorial, 72 Private Study)  
Requirements: Prerequisite BIOL 343/3.0 and a minimum GPA of 2.0 in the Biological Foundations List.  
Offering Faculty: Faculty of Arts and Science