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| MATH 051 (Fall) MATH 052 (Spring) | Foundation Mathematics I and II Credit: 12 | Instructor: TBA Prerequisites: Form 5 or 6 |
| Referents:
Mathematics 91F and 92F: Foundation Mathematics 1 and 2, University of Auckland | ||
| MATH 111 (Fall) | Introduction to Statistics and Basic Research Methods Credit: 6 | Instructor: Marilyn Dudley-Flores |
| Statistics is a means of making sense of data from a host of disciplines (i.e., the social sciences, biology, business, etc.). This course seeks to provide the student with the basic concepts and skills in order to proceed to upper level statistical courses and perform with a level of sophistication. Covered are frequency distributions, measures of central tendency and variability, issues of populations and samples, reasoning with probability, theoretical distributions, estimating, differences between means and variances, cross-tabulation and chi-square tests, analysis of variance (ANOVA) and other comparison methods, relations between two sets of measures, simple regression analysis, and problems of the combined effect of two variables. Emphasis on how to use statistical methods is shared with when and why to use particular methods so that the student can become a critical user of statistics. | ||
| MATH 201 (Fall) MATH 202 (Spring) |
Linear Algebra I and II Credit: 12 | Instructor: Firitia Velt Prerequisites: high school mathematics |
| This course is focused on solving linear problems using matrices and determinants. Being less abstract, rigid and axiomatic than a course for pure science students, it is also suitable for arts students. Geometry versus algebra; vectors; matrices; Gauss-Jordan reduction of linear equations; eigenvectors; simplex method; least squares and others. If time permits excursions into number theory and differental equations will be added. Textbook: Elementary matrix algebra with applications, Richard Painter & Richard Yantis | ||