DS4UX (Spring 2016)/Schedule: Difference between revisions

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=== Week 10: June 3 (DATE CHANGE) ===
=== 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.''
''Please note that this class we will meet Friday evening, rather than Monday evening, because of the Memorial Day holiday.''
;Assignments due
;Assignments due
* [[DS4UX_(Spring_2016)#Final_Project_Presentation|Final project presentation]]
* [[DS4UX_(Spring_2016)#Final_Project_Presentation|Final project presentation]]


;Agenda
;Agenda

Revision as of 03:44, 18 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
  • Week 3 code challenges — We'll briefly walk through the concepts and solutions to the Week 3 coding challenges as a group.
  • Day 3 follow up — We will cover some important concepts that we didn't have a chance to cover in depth last week.
  • Reading and writing files — we will learn how to read and write basic datafiles with Python.
  • DS4UX_(Spring_2016)/Wikipedia Notifications survey — We will walk through a real life example that uses the concepts we've developed so far to answer research questions.
  • Burke-Gilman traffic counter — we will start working with a dataset of bike and pedestrian traffic on the Burke-Gilman trail.


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
  • go here

Week 6: May 2

Day 6 plan


Assignments due
  • Day 5 coding challenge


Agenda


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


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

Week 11: June 6

FINALS WEEK - NO CLASS

Assignments due