In this seminar, we will explore the pedagogy of introductory data science. Students in the seminar will be required to work as undergraduate course assistants in SML 201 -- Introduction to Data Science. SML 201 topics will be discussed in more depth in the seminar, with a view of teaching the basic material. We will discuss literature in the pedagogy of computer science and statistics. Discussion topics will include teaching programming using the functional programming paradigm, the design of the dplyr package, simulation-based inference, teaching statistics using simulation-based inference, the grammar of graphics, and causal inference.
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