This course will review the use of IBM compatible microcomputers for the solutions of quantitative problems. The student will be given intensive instructions in the APL programming language and will be introduced to existing software for the solution of mathematical models of business and finance. This is an applied intermediatelevel statistics course which stresses the access and use of computerbased statistical packages and the interpretation and use of computer output as an aid in statistical analysis. 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. This course provides a general introduction to decision making with applications. The two main subjects are decision making under certainty and decision making under uncertainty. 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.