DS4UX (Spring 2016)/Schedule: Difference between revisions

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;Class schedule
;Class schedule
*Interactive lecture: creating your own functions
* Interactive lecture: creating your own functions
*[[DS4UX_(Spring_2016)/Day_3_lecture|Day 3 lecture]] - working with web data 1 (APIs)
* [[DS4UX_(Spring_2016)/Day_3_lecture|Day 3 lecture]]
*'''Peer programming:''' Practice with API sandboxes
* [[Baby Names]] ([[Community_Data_Science_Workshops_(Fall_2015)/Day_1_baby_names_project_download|download]])
*Interactive lecture: requesting data from an API using Python


;Homework
;Homework
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;Resources
;Resources
*''go here''
*''go here''


=== Week 4: April 18 ===
=== Week 4: April 18 ===

Revision as of 04:15, 27 March 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

Class schedule
Homework
Resources
  • go here

Week 4: April 18

Day 4 plan

Agenda
Homework
Resources


Week 5: April 25

Day 5 plan

Assignments due
Agenda
  • Day 5 lecture - visualizing web data
  • Introduction to Jupyter notebooks
  • graphing data with matplotlib
Homework
Resources
  • go here


Week 6: May 2

Day 6 plan

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 - research study design
  • review of key concepts and tools from this course
  • presentation workshop
Resources
  • go here


Week 10: May 30

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