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Data Intensive Designated Course Student Learning Outcomes

Data Intensive Designated courses focus on 2 or more of the below student learning outcomes (SLO’s). Use the searchable catalog to search for approved courses based on SLOs, prefixes, or other keywords.

1. ASSESS: �þ��� 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: �þ��� access, or collect when appropriate, data and explain the ethical considerations of how this data is collected and used.
3. METHODS: �þ��� identify appropriate data-analysis methods for working with a given data set and explain the associated limitations and interpretations.
4. COMMUNICATE: �þ��� communicate their data-intensive work to a variety of audiences through multiple modalities (written, visual, verbal).
5. TECHNOLOGY: �þ��� 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.