Requirements for Information Visualization

Online

Textbooks

SC&I is subscribing to a service called LinkedIn Learning (previously called LyndaCampus) that is a school-wide version of linkedin.com/learning, an online training library with many video based training movies. LinkedIn Learning is available for free for students registered in SC&I courses and can be used to learn software, programming skills, video techniques, etc.
Titles include: all of MS Office (Word, Excel, PowerPoint, Access, etc.), all of Adobe (DreamWeaver, Photoshop, Illustrator, InDesign, Animate, etc.), Fundamentals of Video, iMovie, Social Media Marketing, Twitter, SPSS, Google Docs, HTML5, CSS, MySQL, PHP, Python, C/C++/C#, WordPress, etc. Students can watch the videos, follow along with exercise files, and even print a certificate of completion upon completion of a course.
Login to LinkedIn Learning (when you first log into LinkedIn Learning, you are given the opportunity to personalize your profile).
Remember: you must be logged into LinkedIn Learning to be able to access the linkedin.com/learning videos included in the Lectures page of this course.
For more information and access instructions, please see https://it.rutgers.edu/linkedin-learning/. For any difficulties accessing the content of linkedin.com/learning please contact SC&I IT Services at help@comminfo.rutgers.edu.

Tableau (Win & Mac) free access will be provided for this state-of-the-art Business Intelligence toolset that supports many types of visualizations and linked displays.
Download & Install Tableau (runs on Windows and Mac computers)
Download link: http://www.tableau.com/tft/activation (Key info will be provided in announcement)
Instructions: Click on the link above and fill out the form on the right hand side of the page. Under "Job Title", mark Student; and under "Organization", please input the name of your school.
Other options: Download | Student Edition (you can also use Student Edition which gives full-time students enrolled at an accredited academic institution a 1-year license of Tableau Desktop).
Starting with Tableau version 10.5 coming in Fall 2017, new versions of Tableau will only run on 64-bit operating systems. Tableau 10.4 will be the last version of Tableau Desktop, Tableau Reader, and Tableau Public to support 32-bit Windows operating systems.
- Previous Releases: https://www.tableau.com/support/releases

Class Participation (5%)
You are expected to participate at least once in each weekly discussion related to the weekly content in a thoughtful and insightful way.
Graded Discussions (15%)
There will be three graded discussions where you will ask to apply what you have learned in the weekly lectures.
Topic 1: Analyze Visualization in terms of pre-attentive visual features, grouping principles, depth cues used and application of Tufte’s design principles – Week 3.
Topic 2: Analyze NYTimes Visual DataStory – Week 6.
Topic 3: Analyze Emerging Theme / State-of-Art Visualization – Week 14.
Short Reports (15%)
You will write two short reports due in Week 2 and Week 10, respectively, using a provided templates, for several papers or book chapters that will be made available electronically.
Visualization Tasks (30%)
Create two interactive linked visualizations due in Week 5 and Week 8, respectively, using Tableau.
(Optional) DataVis Programming using D3.js: please contact instructor if you are interested to learn how to use JavaScript, HTML, SVG and CSS to create interactive visualizations.
Visual DataStory Design Principles & Examples (12.5%)
You will write a paper due in Week 13 that describes your understanding, based on the materials covered and the topics discussed in class, how to design an effective Visual “DataStory” and provide examples.

You can choose between several Individual Project options or an Individual / Group Project.

Screencast: Brief Overview of Possible Term Projects and the Project is due in Week 15.

Options
Individual Project options:
Review and Analyze existing visualization tools for a specific data domain.
Create a How to Guide that describes how to visualize certain data sets and which tools can be used.
Evaluate InfoVis tool: conduct a user study to evaluate a visualization tool.
Create InfoVis Prototype: creating or enhancing a visualization tool.

Individual / Group Project
Collect Large Data Set for specific data domain and/or Use Data APIs to access large data domain.
Use Visualization Tool(s), such as Tableau or d3.js to visualize data.
Develop DataStory for specific data domain and presented data.