Course ID
041466
Course Description
In this course, learners will acquire skills in visual design, mathematical reasoning and computational thinking to gain an understanding of data literacy. Learners are introduced to theories of cognition and visual perception as they relate to data visualization. Together, the class will create data visualizations and engage in meaning making around representations of data to explore profiling, prediction, judgement, and decision making. Learners will explore the concepts of proprietary data versus open data resources, critically examining their uses to recognize the role data play in their lives and societal outcomes.
Learning outcomes:
- Demonstrate ability to use presentation software to produce a multi-modal communication that incorporates data in order to inform. (Final Part 1)
- Demonstrate use of reasoning to draw conclusions. (Final Part 1, 2, 3)
- Construct an alternative infographic given the same data set highlighting different interpretations. (Part 1, 2, 3)
- Demonstrate critical thinking to critique how data are used to make and support arguments. (Part 2, 3)
Learning outcomes:
- Demonstrate ability to use presentation software to produce a multi-modal communication that incorporates data in order to inform. (Final Part 1)
- Demonstrate use of reasoning to draw conclusions. (Final Part 1, 2, 3)
- Construct an alternative infographic given the same data set highlighting different interpretations. (Part 1, 2, 3)
- Demonstrate critical thinking to critique how data are used to make and support arguments. (Part 2, 3)
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - SLAT (Sec. Lang. Acquisition & Teach)
Course Requisites
Cross Listed Courses
May be convened with
LIS447
Component
Lecture
Optional Component
No