DS4UX (Spring 2016)/Schedule: Difference between revisions

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;Assignments due
;Assignments due
*[[DS4UX_(Spring_2016)#Final_Project_Idea|Final project ideas]] ([https://canvas.uw.edu/courses/1040891/assignments/ FIXME Turn in on Canvas])
*[[DS4UX_(Spring_2016)#Final_Project_Idea|Final project ideas]] ([https://canvas.uw.edu/courses/1040891/discussion_topics/3325827 Turn in on Canvas])


;Agenda
;Agenda

Revision as of 02:10, 27 April 2016

Week 1: March 28

Day 1 plan

Assignments due
  • fill out the pre-course survey
Agenda
  • Quick introductions — Be ready to introduce yourself and describe your interest and goals in the class.
  • Why Programming and Data Science for UX Research? — What this course is about
  • Class overview and expectations — We'll walk through this syllabus.
  • Group formation — We'll assemble in our peer programming groups for the first time.
  • Installation and setup — You'll install software including the Python programming language and run through a series of exercises.
  • Interactive lecture: programming concepts 1
  • Self-guided tutorial and exercises — You'll work through a self-guided tutorial to practice the basic concepts we introduced in the lecture.
Homework
Resources



Week 2: April 4

Day 2 plan

Agenda
Homework
Resources



Week 3: April 11

Day 3 plan

Agenda
Homework
Resources
  • go here



Week 4: April 18

Day 4 plan

Agenda
Homework
Resources
  • Two video lectures by Mako Hill, which covers most of the concepts from NEXT week's lecture (as well as some useful review):



Week 5: April 25

Day 5 plan

Assignments due
Agenda
Homework
Resources



Week 6: May 2

Day 6 plan

Assignments due
Agenda
  • Panama Papers project — using Wikipedia APIs to gather information related to a breaking news event.
  • An interactive lecture introducing the concept of user-defined functions
Homework
Resources
  • go here



Week 7: May 9

Day 7 plan

Assignments due
Agenda
Coding challenges
Resources
  • go here



Week 8: May 16

Day 8 plan

Assignments due
Agenda
Coding challenges
Resources
  • go here



Week 9: May 23

Day 9 plan

Agenda
  • Day 9 lecture
  • review of key concepts and tools from this course
  • presentation workshop
Resources
  • go here



Week 10: June 3 (DATE CHANGE)

Please note that this class we will meet Friday evening, rather than Monday evening, because of the Memorial Day holiday.

Assignments due
Agenda
  • Day 10 lecture - Final project report review, next steps for Data Science
  • Final project presentations
Resources
  • one



Week 11: June 6

FINALS WEEK - NO CLASS

Assignments due