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Schedule summary objectives this week
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Detailed Schedule
Notes:
- This schedule is subject to change and will be updated throughout the semester.
- Textbook reading assignments are based on Visualization Analysis and Design (VAD) by Tamara Munzner
- Learning Checks (LC) are posted in Blackboard.
- Lab work will be discussed and completed during our class meeting time. There will usually be nothing to submit for these.
- Homework (HW) is individual work. All work must be your own. You may use resources on the Internet for reference, but you must not copy large sections of code and if you use online resources, you must cite your sources (including URL).
- Visualization is in a large sense about design and the individual design decisions that are made. No matter how simple, it is rare that two charts developed independently will look exactly the same or have identical stylings. Group work on HW assignments is not acceptable. Do not start with someone else's solution and make changes -- this is easy to detect.
- WebEx recordings for each week will be posted in Blackboard within 24 hours of the class meeting.
- ODU Fall Academic Calendar, Exam Schedule
This Week
Week 1: Introduction, What's Vis and Why Do It? - Aug 27
Due before class
- sign up for Piazza
- explore the course website
if you are an online student, make sure that you can view the WebEx Test Recording in the Blackboard > WebEx > WebEx Docs/Help section
- HW0 - Personal Intro
you must accept the invitation via GitHub Classroom to complete this assignment, see Piazza for the invite link
if you do not already have an account at github.com, register for account with a username that incorporates your name (for example, my GitHub username is weiglemc)
- Reading
- Learning Check (LC) Ch01 (available on Blackboard) -- submit before class on Sep 3 for full credit
Assignment
Week 2: Data and Data Cleaning - Sep 3
Due before class
- HW1
- Reading
- LC-Ch02 (and LC-Ch01 if not already submitted)
- install OpenRefine on your laptop and bring to class
In-class
Assignment
Week 3: Marks and Channels - Sep 10
Due before class
In-class
Assignment
Week 4: Arrange Tables - Sep 17
Due before class
In-class
Assignment
Week 5: Arrange Tables (cont.) - Sep 24
Due before class
In-class
Assignment
- LC-Ch10
- keep working on HW3
Week 6: Map Color and Other Channels - Oct 1
Due before class
In-class
Assignment
Week 7: MID-TERM EXAM - Oct 8
Due before class
In-class
- Exam: Online students, access the exam on Blackboard under Exams > Mid-Term Exam.
Assignment
- LC-Ch13
- HW4 (due Oct 22) - Recreate charts
Fall Break: NO CLASS - Oct 15
Week 8: Reduce Items - Oct 22
Due before class
In-class
Assignment
Week 9: Exploratory Data Analysis (EDA) - Oct 29
Due before class
In-class
- discuss How to Tell Someone’s Age When All You Know Is Her Name
- discuss Illusion of Causality in Visualized Data
- work through Data Tranformation exercises
Assignment
Week 10: Storytelling Vis - Nov 5
Due before class
- HW6
- Watch videos
- Journalism in the Age of Data, 2010 (53:57) - youtube playlist (broken up into chapters) - required to watch the 4 chapters listed below, but encouraged to watch the whole video
Ch 1 - Introduction (4:02) Ch 2 - Data Vis in Journalism (10:55) Ch 3 - Telling “Data Stories” (6:03) Ch 6 - Exploring Data (6:50)
- Reading
- LC-Storytelling
In-class
Assignment
Week 11: Rules of Thumb, Maps - Nov 12
Due before class
In-class
- gather in groups of 2-3 and discuss your HW7 dataset and plans
during this time, I'm also available for questions
Assignment
- LC-Ch12
- keep working on HW7
Week 12: Multiple Views - Nov 19
Due before class
In-class'
Assignment
Week 13: Manipulate View - Nov 26
Due before class
- HW8
- Reading: Ch 11 (through 11.4)
- LC-Ch11
In-class
Assignment
Week 14: FINAL EXAM - Dec 3
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