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 & HTML/CSS Lecturer: Prof. Leilani Battle

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)

• 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

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

Today • Course Overview • HTML/CSS Tutorial

Instructor • Prof. Leilani Battle • New faculty in the CS Dept • Research interests: databases, visualization, HCI • Hobbies: games, reading, crafting, fashion/style

Teaching Assistant • Ameya Patil • Graduate student in CS • Current Project: Modelling user behavior in pathological image data exploration • Hobbies: digital photography, trekking

•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?

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

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

Course components • Readings • Lectures • Quizzes • Assignments • Final project • Extra credit

Grades • Breakdown: • Quizzes: 30% • Assignments: 40% • Final project milestones: 30% • Extra credit: 3% • Grades are not curved • Grading scheme (from ELMS)