CMP 112H - Honors Computational Thinking I

4 Hour(s)
Introduces students to elementary statistical methods and intermediate-level uses of Excel spreadsheets with a focus on data analysis, organization, visualization, and interpretation. Students will more deeply explore the conceptual underpinnings of computational thinking: algorithmic thinking, mathematical modeling and data analysis. They will solve problems with the statistical and software tools they’ve learned by developing algorithms, applying programming methods, and using elementary mathematical models. The topics may include, but are not limited to descriptive statistics, 1 and 2-parameter tests (e.g. 2 independent sample t-tests) as well as correlation and regression. Probabilistic models will be used to simulate stochastic processes and develop concepts in algorithmic thinking and mathematical modeling.

FA
Prerequisite(s): MAT 101
Restrictions: Acceptance to the Honors Program required.