INFO 5312
Last Updated
- Schedule of Classes - May 19, 2024 7:32PM EDT
- Course Catalog - May 19, 2024 7:07PM EDT
Classes
INFO 5312
Course Description
Course information provided by the Courses of Study 2023-2024.
Data scientists often present information to disseminate their findings. This course introduces theories and applications of communicating with data, with an emphasis on visualizations. To support this approach, we will focus on the what, why, and how of data visualization. "What" focuses on specific types of visualizations for a particular purpose, as well as tools for constructing these plots. In "how" we will focus on the process of generating a data visualization from pre-processing the raw data, mapping attributes of the data to plot aesthetics, strategically determining how to define the visual encoding of the data for maximal accessibility, and finalizing the visualization to consider the importance of visual appeal. In "why" we discuss the theory tying together the "how" and the "what", and consider empirical evidence of best-practices in data communication.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: INFO 2950. Preferred prerequistite: prior experience with R is preferred.
Outcomes
- Implement principles of designing and creating effective data visualizations.
- Evaluate, critique, and improve upon one's own and others' data visualizations based on how good a job the visualization does for communicating a message clearly and correctly.
- Post-process and refine plots for effective communication.
- Master using R and a variety of modern data visualization packages to reproducibly create data visualizations.
Regular Academic Session. Choose one lecture and one discussion. Combined with: INFO 3312
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Phillips Hall 203
- Jan 22 - May 7, 2024
Instructors
Soltoff, B
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Additional Information
Instruction Mode: In Person
Enrollment is restricted to IS students. All other students can add themselves to the course waitlist when it opens in January. Learn more: https://infosci.cornell.edu/courses/enrollmentwaitlist. Prereq: INFO 2950 or INFO 5001. Prior experience with R and Git is required.
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 216
- Jan 22 - May 7, 2024
Instructors
Soltoff, B
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Additional Information
Instruction Mode: In Person
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