I have taught Information Visualization at NYU Tandon every year since 2012. The course focuses on how to design, develop and evaluate interactive data visualization solutions for complex data analysis problems. This page links to material I developed for the course. Feel free to use it in your course or to study visualization on your own.
This is the syllabus of the latest edition of the course (Fall 2018).
Free Online Version in Coursera
There is an online version of the course you can take for free in Coursera.
Google folder containing my slides: http://bit.ly/lecture-slides-iv16.
I designed these exercises for my flipped-classroom version of the course:
Data Abstraction (describe data in ways useful to vis design)
Data Analysis (perform data analysis with a goal)
Chart Encoding and Decoding (deconstruct a chart and encode the same data in different ways)
Vis Design: Ballot Maps (design a visualization for a specific problem)
Vis Design: Twitter Sentiment (design a visualization for a specific problem)
Course Recap (recall main concepts from the course)
Here you can find a series of blog posts I wrote to keep track of my experience and thinking while teaching the course: