About the course...

Introduces foundational principles, methods, and techniques of visualization to enable creation of effective information representations suitable for exploration and discovery. Covers the design and evaluation process of visualization creation, visual representations of data, relevant principles of human vision and perception, and basic interactivity principles. Studies data types and a wide range of visual data encodings and representations. Draws examples from physics, biology, health science, social science, geography, business, and economics. Emphasizes good programming practices for both static and interactive visualizations. Creates visualizations in Excel and Tableau as well as Python and open web-based authoring libraries. Requires programming in Python, JavaScript, HTML, and CSS. Requires extensive writing including documentation, explanations, and discussions of the findings from the data analyses and the visualizations. Preq: CS 2510, or by permission of the instructor. NUPath Attributes: Analyzing/Using Data, and Writing Intensive. This is also a Service-Learning course.

Note: More information will be posted over the coming weeks. The topics covered will be of similar flavor to those this semester in CS 7280.

DS 4200: Information Presentation & Visualization

Time and Location: Mondays and Wednesdays from 2:50pm - 4:30pm in Snell Library 35

Instructor: Prof. Michelle Borkin (m.borkin@northeastern.edu), Office 310D WVH.
    Office Hours: Mondays from 11:00am-12:00pm in West Village H 310D or by appointment.

Teaching Assistant: Britton Horn (bhorn@ccs.neu.edu).
    Office Hours: Tuesdays from 1:00-2:00pm in Meserve 168 or by appointment.

Service-Learning Teaching Assistant: Linda (Zirui) Yan (yan.zi@husky.neu.edu).
    Office Hours: Thursdays from 10:00-11:30am in 232 Hastings Hall YMCA (YMC).

Discussion Forum: Piazza



**Schedule is subject to change as guest lectures are incorporated into the lecture line-up.



Resources coming soon!