This course is primarily designed for undergraduate which provides a basic understanding of vector spaces and matrix algebra; with application to solutions of systems of linear equations and linear transformation. Students of this course are expected to determine and use appropriate techniques for solving systems of linear equation and problems involving matrix algebra and vector spaces.
This course is an enrichment of the course on Euclidean Geometry. It discusses the properties and applications of other types of geometries such as finite geometry, non-Euclidean geometry, and projective geometry.
The course presents the humanistic aspects of mathematics that provide the historical context and the timeline that led to the present understanding and applications of the different branches of mathematics Topics included in this course are not very technical and rigid aspects of mathematics; rather they are early, interesting, and light developments of the field. They are intended to enrich the background of the students in the hope that the students find value and inspiration in the historical approach to the mathematical concepts. BTI 1.1.1
The “course is designed to deepen students’ concepts and techniques that are essential to data processing and analysis” (Teacher Education Council and Research Center for Teacher Quality, 2020, p. 108). The topics center on non-parametric statistics such as tests of association and agreement, tests for one sample, two, and multiple dependent and independent samples. This course will enhance students’ skills in testing hypotheses using non-parametric statistics and in using statistical software/s to automate data processing (Teacher Education Council and Research Center for Teacher Quality, 2020). The prerequisite of this course for the undergraduate level is Statistics and Probability (Math 107).