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Showing posts with the label Fall 2020

2021-04-05: Data Visualization Fall 2020 Projects

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(Previous semester Information Visualization highlights posts: Fall 2019 , Fall 2017 , Spring 2017 , Spring 2016 , Spring 2015 , Spring/Fall 2013 , Fall 2012 , Fall 2011 ) Fall 2020 was the second offering of CS 625: Data Visualization , a graduate-level visualization course that is part of the CS Masters program and is a core course in the Data Science and Analytics MS program . I had originally designed this as a flipped+hybrid course (described in an earlier blog post ), so teaching this during COVID-times was not too much different than normal.  We use Tamara Munzner's Visualization Analysis and Design textbook and focus on basic visualization design principles and on how to ask good questions. Students were allowed to use whatever tool they wished, but I emphasized clear design no matter what tool was used. Over the course of two assignments ( HW7 , HW8 ), students developed questions about real-world data, developed a draft visualization, and then refined the visualiza

2020-08-25: Seven WS-DL classes offered for Fall 2020

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https://xkcd.com/2347/ A record seven courses from the Web Science and Digital Libraries ( WS-DL ) Group will be offered in Fall 2020.  Because of Covid-19 , most of these classes will either be completely on-line or offered in a hybrid on-line / f2f option.  Check with the instructor to verify how the class will be conducted. CS 418/518 Web Programming , Dr. Jian Wu , Tuesdays & Thursdays 1:30-2:45. Topics : LAMP (Linux, Apache, MySQL, PHP), MVC (Model-View-Control), Search Engines, GitHub  CS 432/532 Web Science , Dr. Michele C. Weigle , asynchronous.  Topics : Python, R, D3, ML, and IR.  CS 620 Intro to Data Science & Analytics , Dr. Sampath Jayarathna , Web PLE. Tuesdays 4:30-5:30pm (recitation). Topics : Python, Pandas, NumPy, NoSQL, Data Wrangling, ML CS 625 Data Visualization , Dr. Michele C. Weigle , Tuesdays & Thursdays 9:30-10:45. Topics : Tableau, R, Vega-Lite, Data Types, Maps, Colors, Tables CS 795/895 Mining Scholarly Big Data , Dr. Jian Wu , M