Mar 29, 2024  
2017-2018 Undergraduate Catalog 
    
2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

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BIOL 413 - Advanced Biostatistics


Description:
Visualization and analysis of complex biological data-sets. Computer laboratory exercises will utilize R, a free and powerful software environment for statistical computing and graphics. BIOL 413 and BIOL 513 are layered courses; students may not receive credit for both. Three hours lecture and two hours laboratory per week.

Prerequisites:
Prerequisites: BIOL 213 or permission of instructor.

Credits: (5)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Design valid, efficient, and statistically powerful experiments (413/513)
  • Visualize complex data sets and identify patterns of biological importance (413/513)
  • Explain the underlying assumptions of common statistical tests and evaluate the potential consequences of violating these assumptions (413/513)
  • Select and validate appropriate methods for the analysis of complex biological data sets (413/513)
  • Analyze complex biological data sets, interpret the output, draw valid conclusions, and communicate findings (413/513)
     
Learner Outcomes Approval Date:
11/20/14



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