Instructors use methods and introduce concepts that will challenge the highly motivated student. Often interdisciplinary in approach and sometimes team taught, honors courses typically offer students occasions to extend their learning beyond the classroom. A continuation of MATH 201, this course provides students further concepts necessary for statistical analysis and inference. Appropriate theoretical concepts will be presented before students attempt computer applications. This course focuses on selected topics in mathematics and will vary from year to year according to student interest and faculty availability.
Honors courses provide the opportunity for exceptional achievement.
Instructors use methods and introduce concepts that will challenge the highly motivated student. Often interdisciplinary in approach and sometimes team taught, honors courses typically offer students occasions to extend their learning beyond the classroom. In this course, students are introduced to multivariate statistical techniques including principal components analysis, factor analysis, cluster analysis, discriminant analysis, logistic regression, multivariate analysis of variance, canonical correlation, and structural equations. The course will emphasize practical applications rather than theory. A computer package such as SAS will be used for analysis.