IS 590OM Open Data Mashups

Data sharing & modern open data standards have been creating large repositories of data that remain disconnected. Many data science & machine learning techniques are boosted by incorporating data representing a variety of domains & granularities. Topics on data curation, data cleaning, copyright, web scraping, storage, processing & automation will be reviewed. This course seeks to explore techniques & perspectives of combining various data sources to create a dataset ready for analysis, but in a project oriented space so that each topic is synthesized with practice & experienced in context. Students will select a project area & explore the technical & conceptual requirements of that project space, eventually producing a proof of concept around it. All project domains & area are open, with the only requirement be that they combine several data sources into a new dataset. This course is meant for students who have completed at least two semesters of coursework, are comfortable with programming in Python (the project can be completed in any language, but instruction will be in Python), & desire a space to explore & develop a capstone or independent study project. However, further work on the project is not a requirement. Guest speakers & field experts from the University Library will be invited. Students will be encouraged to share & publish their datasets at the end of the semester. Prerequisites: IS452 or demonstrated programming Experience, 20 hrs of completed coursework.

Scheduled Offerings

  • Fall 2019

    • IS590OM
      Thu, 2:00 pm - 3:50 pm
      Room 131
      On-Campus
      This is a HYBRID course that meets with IS 590 OMO.
      Instructor
      Elizabeth Wickes
      CRN
      70557
      Length
      16 weeks
      Credit hours
      2
    • IS590OMO
      Thu, 2:00 pm - 3:50 pm
      Online
      This is a HYBRID course that meets with IS 590 OM. For Course Description see IS 590 OM.
      Instructor
      Elizabeth Wickes
      CRN
      71803
      Length
      16 weeks
      Credit hours
      2
  • Spring 2019

    • IS590OM
      Thu, 2:00 pm - 4:00 pm
      Room 242
      On-Campus
      This is a hybrid course that meets with IS 590 OMO.
      Instructor
      Elizabeth Wickes
      CRN
      69230
      Length
      16 weeks
      Credit hours
      2
    • IS590OMO
      Thu, 2:00 pm - 4:00 pm
      Online
      This is a hybrid course that meets with IS 590 OM.
      Instructor
      Elizabeth Wickes
      CRN
      69365
      Length
      16 weeks
      Credit hours
      2

Textbooks and Course Materials

Available from the Illinois Union Bookstore (IUB).