This course covers Matrices and Pathways, Statistics and Probability, Finance, Cyclic, Recursive and Fractal Patterns, Vectors, and Design. The approach used in this course is primarily data driven, using numerical and geometrical problem-solving techniques. As a way of increasing relevance, students collect data in experiments and activities and develop mathematical concepts from analysis of the data. Algebraic constructs are addressed as a result of activities that students perform or as a result of experiences in which they are engaged.
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