Workshop on Undergraduate Data Science Pedagogy and Practice
This three and a half day workshop will be led by Professor David Wagner, recipient of the Berkeley Distinguished Teaching Award and Data 8 co-instructor, this workshop is intended for faculty in US bachelor’s degree-granting institutions, who are actively engaged in developing and offering a data science curriculum.
Participants will come away with an in-depth understanding of:
Foundations of Data Science curriculum built on computational thinking with python, inferential thinking by resampling, prediction and machine learning.
Conveying how to interpret and communicate data and results using a diverse array of real data sets including economic data, geographic data, and social networks.
Guiding students in understanding how information will be incomplete and somewhat uncertain, yet inference methods can help quantify uncertainty and establish the accuracy of estimates.
How the material is delivered in lectures, labs, assignments and student projects.
Pedagogical theory underlying the integrated computing and statistics curriculum.
Technology foundations underlying the pedagogy platform and how to replicate it.
What it would take to translate the education approach and platform to your institution.
Participation is limited to 25 applicants. To apply to attend the workshop, please complete the application form by Monday, May 21. Notification of selected participants will be provided by Friday, May 25.