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Courses

FALL 2020

 
  Monday Tuesday Wednesday Thursday
4:15 - 6:15 PM

Visualization and Design, Prof. Lev Manovich

     
6:30 - 8:30 PM Visualization and Design, Prof. Michelle McSweeney   Interactive Data Visualization, Prof. Ellie Frymire  


DATA 73000 - Visualization and Design #58890
Monday, 4:15 - 6:15 PM, 3 Credits, Rm. TBA, Prof. Lev Manovich
Cross-listed with C SC 83060

Data visualization is increasingly important today in more and more fields. Its growing popularity in the early 21st century corresponds to important cultural and technological shifts in our societies – adoption of data-centric research methods in many new areas, the availability of  massive data sets, and use of interactive digital media and the web for dissemination of information and knowledge. Data visualization techniques allow people to use perception and cognition to see patterns in data, and form research hypotheses. During last 20 years data visualization has also become an important part of contemporary visual and data cultures, visual communication, interactive media and interface design.

In this course students learn the concepts and methods of data visualization. The key part of the class is learning and practicing outside. I will recommend online resources (tutorials and short online classes) suitable for students’ backgrounds and previous knowledge. To test what students learn, I will assign two practical homeworks and a final project. These assignments will be discussed and analyzed in class. 
In addition, the class covers the following topics:

1) Learning about data visualization field, becoming familiar with most well-known designers and data artists, classic visualization projects, relevant organizations and available software. 
2) Visualization can be understand as a part of a scientific paradigm for summarizing, analyzing and predicting data that also includes statistics, data science and AI. Accordingly, students will be introduced to selected concepts from these areas so they understand how visualization interacts with them.
3) Alternatively, visualization can be seen as a part of modern culture that includes languages and techniques of visual art, design, architecture, cinema, interactive art, and data art. We will devote some time to discussing these perspectives and connections. The students will be introduced to basic principles of modern design as they apply to visualization.
4) Another topic which we will also cover is the use of visualization in recently emerged fields devoted to analyzing big cultural data - digital humanities, computational social science, and cultural analytics.

DATA 73000 - Visualizattion and Design #62253
Monday, 6:30 - 8:30 PM, 3 Credits, Rm. TBA, Prof. Michelle McSweeney
Hybrid course, with 3 in-person class sessions.

Data are everywhere and the ability to manipulate, visualize, and communicate with data effectively is an essential skill for nearly every sector—public, private, academic, and beyond. Grounded in both theory and practice, this course will empower students to visualize data through hands-on experience with industry-standard tools and techniques and equip students with the knowledge to justify data analysis strategies and design decisions.

Using Tableau Software, students will build a series of interactive visualizations that combine data and logic with storytelling and design. We will dive into cleaning and structuring unruly data sets, identify which chart types work best for different types of data, and unpack the tactics behind effective visual communication. With an eye towards critical evaluation of both data and method, projects and discussions will be geared towards humanities and social science research. Regardless of academic concentration, students develop a portfolio of interactive and dynamic data visualization dashboards and an interdisciplinary skill set ready to leverage in academic and professional work. 

Note: This is a Hybrid class with 3 in-person class sessions scheduled on 08/31, 10/19, and 12/14

DATA 73200 - Interactive Data Visualization #62268
Wednesday, 6:30 - 8:30 PM, 3 Credits, Rm. TBA, Prof. Ellie Frymire

Interactive Data Visualization is one of the most important forms of communication today — allowing users to better engage with data, detect patterns, and quickly gain insight into complicated topics. This course will introduce students to the tools, skills, and concepts necessary for making state-of-the-art interactive data visualizations. Using web-based technologies including HTML, CSS, and D3.js, students will learn to create engaging and effective information displays, grounded in the science of visual perception and best practices in visual mapping and accessibility. Throughout the semester, students will work towards creating a portfolio of beautiful and analytically sound data visualizations, while also developing their own iterative design process.

As this course focuses heavily on learning how to make custom charts with D3.js, it assumes that students already have a working familiarity of HTML/CSS and basic JavaScript. Additionally, it is recommended that students feel comfortable working with git-based version control (Github, Gitlab. etc.) prior to starting this course.