Welcome

• Introduce yourself
• Introduce co-instructors/TAs
• Depending on class size have students introduce themselves

Course goals

• Data and how to work with it
• Data entry -> Data storage -> Data manipulation -> Data visualization
• Not statistics

Teaching methods

• Flipped classroom
  • You don’t learn how ride a bike just by listening to someone talk about it and the same is true for computing
• Reading or videos before class
• I do, we do, you do
  • I will demo an idea using live coding
  • We will work on an associated exercise together in class
  • You will work on additional exercises on your own (both in & out of class)
• Peer instruction
  • Interact with each other during the we do and you do parts
  • You are at least as likely to learn from your peers as from me
  • Introduce yourself to one of your neighbors you don’t know

Course structure

• Weekly assignments
  • Practice is really important for learning skills like this
  • Work on exercises in class
  • Will require additional programming time after class
  • Due end of the day on Monday
• No projects this year

Website

Walk through the website showing the following items

• Schedule
  • Walk through schedule (quickly)
• Readings
  • Read before relevant class
  • No need to do any challenges or exercises in readings
• Lectures
  • Lectures notes used in class
  • Not expected to read in advance; may be useful for review
  • May not match lecture precisely
• Assignments
  • Answers provided

Syllabus

• Grading
  • 100/90/50/0
• Give it a read and let me know if you have any questions

Office Hours

• Monday: 2-3:15 in NZ 203

Canvas

• Handle assignment submission and grading through Canvas
• Chat

First day demo

• With the little time we have left I just want to do a quick demo of some of the things you’ll be able to do by the time we’re half way through the class