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NEUR 3002 [0.5 credit] Data Analysis in Neuroscience II


Use of software for analyzing neuroscience data. Statistical techniques typically include nonparametric tests, t tests, and various forms of both ANOVA and regression including robust statistical tests, with a focus on the practical application of appropriate statistical methods and interpretation of results.
Includes: Experiential Learning Activity
Prerequisite(s): NEUR 3001.
Lectures three hours a week, online labs/workshops.

Mathematics and Statistics

Undergraduate Calendar

http://calendar.carleton.ca/undergrad/undergradprograms/mathematicsandstatistics/

...GEOG 2006 , GEOG 3003 , NEUR 2001 , NEUR 2002 , NEUR 3001 , NEUR 3002 , PSCI 2702 , PSYC...

Co-operative Education

Undergraduate Calendar

http://calendar.carleton.ca/undergrad/regulations/co-operativeeducation/

...from FOOD 3001, FOOD 3002, FOOD 3005, FOOD...Neuroscience and Mental Health : NEUR 3999 Work Term...

Biology

Undergraduate Calendar

http://calendar.carleton.ca/undergrad/undergradprograms/biology/

...courses TSES 3001 , TSES 3002 , TSES 3500 , TSES...Designation. Work Term Course : NEUR 3999 , BIOL 3999...