CSCI3311 · Computer Science

Data Visualization

Morrissey College of Arts & Sciences

Numerical ratings

4.1 / 5Course rating

From 4 rating records
Across 1 instructor

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of CSCI3311.

Nam Wook Kim

Associate Professor, Computer Science

4 evaluations for this course

Instructor: 4.1
Course: 4.1

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1 of 1 instructors

Nam Wook Kim

Associate Professor, Computer Science

4 evaluations for this course

Instructor: 4.1
Course: 4.1

About this course

With ever-increasing amounts of data, the ability to understand and communicate data is becoming essential for everyone. Visualization leverages our visual perception to provide a powerful yet accessible way to make sense of large and complex data.In this course, students will learn to acquire foundational knowledge abouthow to designeffective visualizations for analysis and presentation based on theories and principles from graphic design, perceptual psychology, and cognitive science. Students will also learn practical skills abouthow to buildvisualizationsto rapidly explore and communicate data, as well as how to create interactive visualization dashboards using various tools such as Tableau and Vega-Lite.

All evaluation ratings

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized: 4.53 / 5
ChallengeHow intellectually challenging students found it: 4.58 / 5
AttendanceHow necessary attendance was: 3.37 / 5
AssignmentsHow helpful assignments were: 4.55 / 5

Weekly effort: ~7 hours

Estimated from the original workload response buckets. Individual sections may differ.

Evaluation history Browse all evaluations

Evaluation history 4 terms

All available terms for CSCI3311. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Fall 2023	1	4.0	3.9
Fall 2022	1	3.5	3.6
Fall 2021	1	4.4	4.5
Fall 2020	1	4.3	4.5