A Catalog of Data Intensive Designated Courses a Elon University

Data Intensive Designated courses focus on 2 or more of the below student learning outcomes (SLO’s). This catalog is searchable based on each SLO. For a full list of Data Intensive courses click here.

  1. ASSESS: Students think critically about when and what data are needed, assess data sources appropriate to the information needed, and identify the context in which data are produced and used.
  2. ACCESS: Students access, or collect when appropriate, data and explain the ethical considerations of how this data is collected and used.
  3. METHODS: Students identify appropriate data-analysis methods for working with a given data set and explain the associated limitations and interpretations.
  4. COMMUNICATE: Students communicate their data-intensive work to a variety of audiences through multiple modalities (written, visual, verbal).
  5. TECHNOLOGY: Students identify and proficiently use appropriate software tools to perform at least 2 of the following:
    a. Proof—or “clean”—data to make it amenable to further analysis,
    b. Transform data (e.g. from text to numbers), through coding or another process
    c. Visualize and compare attributes of a data set,
    d. Analyze data for pertinent information, and
    e. Develop models that estimate relationships among variables in the data.