• Enrollment
• Introductions

Plan for class:

• Course concept and structure
• Discussion

• UCSB Data Science Initiative
  • Proposed UCSB Data Science Major (in-progress)
• Part of a national and international wave of programs and majors in data science—e.g. the ones I’m asking you to browse for next time:
  • UC Berkeley Division of Data Science and Information
    • UC Berkeley Data Science Major
  • Carnegie Mellon U. data science graduate programs
  • NYU Center for Data Science
  • Northwestern U. Master’s in Data Science

• This is a course designed to explore the idea of data science

• Schedule
  • Note about access to materials, and guide to downloading and organizing online readings
• Assignments
• Bibliography

• Otto Willmann, “The Seven Liberal Arts” (Catholic Encylopedia, 1907)
• Sister Miriam Joseph, “What Are the Liberal Arts?” (2002)
• Rens Bod, New History of the Humanities (2013), chapters 1-2 and chapter 6 [course password required]
  • Read chap. 1
  • Scan quickly through chap. 2 to get a sense of what Bod is doing. Slow down for any discipline that interests you. Read more carefully the conclusion of the chapter (pp. 71-73)
  • Read chap. 6
• U. S. Congress, National Foundation on the Arts and the Humanities Act of 1965 (P.L. 89-209) (as amended) [read through the definition of “the humanities” in the “Definitions” section]
• Judith Hallinen, “STEM: Education Curriculum” (Encyclopedia Britannica, 2019)

• Powerpoint for Class 1

• Browse the following sites (and inductively try to answer the question: “what is data science?”):
  • UC Berkeley Division of Data Science and Information
    • UC Berkeley Data Science Major
  • Carnegie Mellon U. data science graduate programs
  • NYU Center for Data Science
  • Northwestern U. Master’s in Data Science
  • UCSB Data Science Initiative
• David Donoho, “50 Years of Data Science” (2017)
• Os Keyes, “Counting the Countless” (2019)