Ian M Dworkin - Overview

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CSE 845 - Multi-disciplinary Research Methods for the Study of Evolution

Techniques for engaging in multi-disciplinary research collaborations, including biology, computer science, and engineering. Students engage in group projects to answer fundamental questions about the dynamics of actively evolving systems including both natural and computational. Multi-disciplinary teams will learn to overcome discipline-specific language and conceptual issues. Experimental design, statistical analysis, data visualization, and paper and grant writing for multi-disciplinary audiences.

Average Grade - 3.833
Median Grade - 4.0
12 total students

Latest grades from Spring 2013

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CSE 891 - Selected Topics

Selected topics in computer science of current interest and importance but not covered in a regular course.

Average Grade - 3.933
Median Grade - 4.0
16 total students

Latest grades from Spring 2012

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GEN 999 - Doctoral Dissertation Research

Doctoral dissertation research.

64 total students

Latest grades from Fall 2013

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ZOL 851 - Statistical Methods for Ecology and Evolution

Statistical modeling and interpretation of biological data using computationally intensive methods for estimation and inference. General linear models, mixed and process models, and estimation strategies applied to students using their own data using the R language.

Average Grade - 3.595
Median Grade - 4.0
74 total students

Latest grades from Fall 2014

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