Quantitative Analysis Center

Digital and Computational Knowledge Initiative (DaCKI)

(adapted from a May 28, 2013 draft by DG Shaw).

Initial Developments

Year One: 2012-13

  1. Course Planning and Research
  2. Initiating Modules within Physics Departments
  3. Center for the Humanities planning with ITS
  4. Workshops:    
    1. “Learning by Doing.”
    2. “Seeing the Past, Visualizing the Future”
  5. Summer Course Development
  6. Working Groups: Center for the Humanities Digital Liberal Arts group

 
Year Two: 2013-14 

  1. Fall Courses
    1. PHYS/QAC 221 “Introduction to Modelling: From Molecules to Markets” (F. Starr)
    2. COMP360, COMP/QAC 260 “Special Topics in Computer Science (‘Big Data’ Analysis) ” (N. Danner)
    3. QAC 211, “Digging the Digital Era: A Data Science Primer” (A. Selya/M. Kaparakis)
    4. QAC 239,  Proseminar “GIS in Research”(K. Diver)
  2. Spring Courseswesmaps
    1. QAC 231, “Introduction to (Geo)Spatial Data Analysis and Visualization”(K. Diver)
    2. CS 131 “Can Machines Think,” (J. Lipton)
    3. COL/HIST “Digital History” (Printy)
    4. QAC 239,  Proseminar “GIS in Research”(K. Diver)
  3. Course Cultivation:
    1. Big Data Analysis in Economics,  by Chris Hogendorn, developed during his sabbatical-leave for offer in 2014-15
    2. An Introduction to Data Mining
    3. Network Analysis
  4. Workshops (tentative)
    1. Big Data
    2. Networks
    3. Qualitative, Content Analysis and Text Mining
  5. Working Groups:
    1. Center for the Humanities Digital Liberal Arts: cultivating mastery of digital scholarly forms and genres
    2. Proposed: Networks and their Analysis
    3. Proposed: GIS and Visualization Group
    4. Proposed: Text Mining Tools and Applications