DS4UX (Spring 2016)/Schedule: Difference between revisions

From CommunityData
Line 199: Line 199:


=== 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 from 6pm to 9pm on Friday evening, rather than Monday evening, because of the Memorial Day holiday.''


;Assignments due
;Assignments due
Line 205: Line 205:


;Agenda
;Agenda
* [[DS4UX_(Spring_2016)/Day_10_lecture|Day 10 lecture]] - Final project report review, next steps for Data Science
* Final project presentations
* Final project presentations



Revision as of 19:08, 23 May 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
  • An interactive lecture introducing the concept of user-defined functions
Homework
Resources



Week 7: May 9

Day 7 plan

Assignments due
Agenda
  • Week 6 coding challenge solutions - Jonathan will review the solutions to the week 6 coding challenges and answer questions
  • Writing your own functions - Ray will give a lecture and lead us through a series of interactive exercises on creating custom functions to make our code simpler, clearer, and more flexible.
  • Working with location data - Jonathan will introduce some simple techniques for aggregating and visualizing datasets that have a location component, using a corpus of Seattle building permit data.
Coding challenges



Week 8: May 16

Day 8 plan

Assignments due
Agenda
  • Jupyter notebooks: intro and setup
  • Some new concepts: try/except, sleep(), dateutil.parser, datetime.datetime
  • Functions II: walk through examples in Jupyter and terminal
Coding challenges
  • No coding challenges this week!
Resources
  • Data Science from Scratch, Joel Grus (O'Reilly)



Week 9: May 23

Day 9 plan

Agenda
  • We will review the requirements for the Final Presentation and Final Project assignments
  • We will review the course as a whole, and what we accomplished
  • We will go through 1-2 more examples of how to organize a program into functions
  • We will have an opportunity to review key Python concepts as a class
  • We will have plenty of time to ask questions about and work on final projects
Resources



Week 10: June 3 (DATE CHANGE)

Please note that this class we will meet from 6pm to 9pm on Friday evening, rather than Monday evening, because of the Memorial Day holiday.

Assignments due
Agenda
  • Final project presentations
Resources
  • one



Week 11: June 6

FINALS WEEK - NO CLASS

Assignments due