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. CHUM , New Media Course (Mellon Postdoctoral Fellow)
    4. QAC 211, “Digging the Digital Era: A Data Science Primer” (A. Selya/M. Kaparakis)
    5. QAC 215, “GIS Proseminar”(K. Diver)
  2. Spring Courseswesmaps
    1. QAC 216, “Spatial Data Visualization and Analysis”(K. Diver)
    2. CS 131 “Can Machines Think,” (J. Lipton)
    3. COL/HIST “Digital History” (Printy)
    4. QAC 215, “GIS Proseminar”(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