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The course examines the content of the secondary school mathematics curriculum from an advanced perspective. Pedagogical content knowledge is examined in discussions of mathematical concept representations, student errors, and the design of activities.

The course examines the content of the secondary school mathematics curriculum from an advanced perspective. Pedagogical content knowledge is examined in discussions of mathematical concept representations, student errors, and the design of activities.

A project-based introduction to computational thinking and problem solving. Covers a wide range of topics, including data visualization, statistical techniques, simulations of dynamical systems, computational techniques to understand data, using regression to fit models to data, as well as an introduction to some more advanced topics: Monte Carlo simulations, optimization, dynamic programming, image processing, natural language processing, geospatial data analysis and current data science.

A project-based introduction to computational thinking and problem solving. Covers a wide range of topics, including data visualization, statistical techniques, simulations of dynamical systems, computational techniques to understand data, using regression to fit models to data, as well as an introduction to some more advanced topics: Monte Carlo simulations, optimization, dynamic programming, image processing, natural language processing, geospatial data analysis and current data science.