cmsc498o_introduction_01_29_2019.pdf - CMSC498O Introduction HTML\/CSS Lecturer Prof Leilani Battle First no using devices in class \u2022 Please put your

cmsc498o_introduction_01_29_2019.pdf - CMSC498O...

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CMSC498O Introduction & HTML/CSS Lecturer: Prof. Leilani Battle
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First, no using devices in class Please put your laptops, phones, etc. away I will let students know in advance when laptops will be used in class Students observed violating this policy run the risk of receiving a failing grade in the course If you have urgent communication to attend to, please excuse yourself from lecture to take care of it Covered in the syllabus (which I will go over today)
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Analyzing data is hard, especially with just raw text and numbers Learn how to design effective and intuitive visual representations of data! [email protected]; cs.umd.edu/~leilani CMSC498O: Introduction to Data Visualization 2006-02-22 EV N873AS ATL Atlanta GA BQK Brunswick GA 1356 1458 1.00 C 0.00 62.00 238.00 2006-06-10 US N515AU DCA Washington VA BUF Buffalo NY 1000 0956 -4.00 13.00 1009 1059 4.00 1109 1103 -6.00 0.00 0.00 69.00 67.00 50.00 296.00 2006-02-07 DL N306WA RNO Reno NV SLC Salt Lake City UT 1325 1324 -1.00 15.00 1339 1540 5.00 1548 1545 -3.00 0.00 0.00 83.00 81.00 61.00 422.00 2010-03-14 OO N763SK DEN Denver CO ABQ Albuquerque NM 0823 0822 -1.00 14.00 0836 0932 5.00 0942 0937 -5.00 0.00 0.00 79.00 75.00 56.00 349.00 2009-08-27 EV N868AS CVG Cincinnati KY IND Indianapolis IN 1115 1106 -9.00 11.00 1117 1140 3.00 1206 1143 -23.00 0.00 0.00 51.00 37.00 23.00 98.00
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CMSC498O: Introduction to Data Visualization Outcomes: Understand key visualization techniques & theory Exposure to common data domains and analysis tasks Practical experience building and evaluating visualization systems [email protected]; cs.umd.edu/~leilani
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Today Course Overview HTML/CSS Tutorial
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Instructor Prof. Leilani Battle New faculty in the CS Dept Research interests: databases, visualization, HCI Hobbies: games, reading, crafting, fashion/style
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Teaching Assistant Ameya Patil Graduate student in CS Current Project: Modelling user behavior in pathological image data exploration Hobbies: digital photography, trekking
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What is information visualization? How can information visualization help people make sense of data? How can we apply existing theory/results to design our own visualanalysis interfaces?
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Initial Expectations No prior HTML/CSS/Javascript experience required We will learn this as part of the course No prior visualization tool experience required We will learn how to use D3.js and Tableau as part of the course You will need solid programming experience
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Course management: ELMS Everything for the course will be managed through ELMS Everything will be submitted through ELMS (e.g., assignments, etc.) Anything submitted outside of ELMS will not be graded Please read through the syllabus carefully Many questions are answered there We will walk through the high level stuff today
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Course components Readings Lectures Quizzes Assignments Final project Extra credit
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Grades Breakdown: Quizzes: 30% Assignments: 40% Final project milestones: 30% Extra credit: 3% Grades are not curved Grading scheme (from ELMS)
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Readings
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  • Spring '19
  • ELMS

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