Instructor(s):
J. Sakata	N4/8	(514) 398-3636	jon.sakata@mcgill.ca
C. Potvin	W6/8	(514) 398-3730	catherine.potvin@mcgill.ca
Prerequisite(s):
BIOL 373 or equivalent, and permission of instructor; BIOL 596 recommended
Content:
This course will be oriented to help graduates and upper division undergraduates with data analysis challenges they are facing in their own research. It is designed to be an extension of BIOL 596, Advanced Experimental Design. ANOVA, regression, mixed models, information theory, etc.
Readings:
Selected readings from textbooks, journal articles
Method:
It will consist of formal lectures, discussions of scientific papers and model experiments, student discussions of analytical techniques, and student presentations of the application of statistical approaches to their own data.
Evaluation:
Based on written assignments, class presentations and participation.

McGill University values academic integrity. Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see http://www.mcgill.ca/integrity/ for more information).

Last update: April 8, 2013