DS4UX (Spring 2016)/Schedule: Difference between revisions

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* Python for Informatics: [http://www.pythonlearn.com/html-009/book001.html Preface] and [http://www.pythonlearn.com/html-009/book002.html Chapter 1  Why should you learn to write programs?]
* Python for Informatics: [http://www.pythonlearn.com/html-009/book001.html Preface] and [http://www.pythonlearn.com/html-009/book002.html Chapter 1  Why should you learn to write programs?]
* [http://sites.tufts.edu/cbi/files/2013/01/linux_cheat_sheet.pdf Command line cheat sheet] — covers basics like <code>ls, pwd, cd</code> and much more.
* [http://sites.tufts.edu/cbi/files/2013/01/linux_cheat_sheet.pdf Command line cheat sheet] — covers basics like <code>ls, pwd, cd</code> and much more.
 
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=== Week 2: April 4 ===
=== Week 2: April 4 ===
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* [[Wordplay handout]]
* [[Wordplay handout]]
* [http://communitydata.cc/~mako/cdsw-au2015-lecture1-20151010.ogv cdsw-au2015-lecture1-20151010.ogv] -- Mako Hill's lecture video from a previous course, which covers most of the concepts from my Week 1 and Week 2 lectures.
* [http://communitydata.cc/~mako/cdsw-au2015-lecture1-20151010.ogv cdsw-au2015-lecture1-20151010.ogv] -- Mako Hill's lecture video from a previous course, which covers most of the concepts from my Week 1 and Week 2 lectures.
 
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=== Week 3: April 11 ===
=== Week 3: April 11 ===
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;Resources
;Resources
*''go here''
*''go here''
 
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=== Week 4: April 18 ===
=== Week 4: April 18 ===
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:* [https://communitydata.cc/~mako/cdsw-au2015-lecture2-20151024.ogv cdsw-au2015-lecture2-20151024.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture2-20151024.ogv cdsw-au2015-lecture2-20151024.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture3-20151107.ogv cdsw-au2015-lecture3-20151107.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture3-20151107.ogv cdsw-au2015-lecture3-20151107.ogv]
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=== Week 5: April 25 ===
=== Week 5: April 25 ===
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* [[DS4UX_(Spring_2016)/Day_5_lecture#Week_5_project:_How_do_we_use_APIs_to_get_data_from_Wikipedia.3F|Week 5 project: Introducing the Wikipedia API]] — We will learn the syntax of the MediaWiki API (used by Wikipedia), as well as how to test API queries in a sandbox, and how to perform those queries in Python—in preparation for the [[DS4UX_(Spring_2016)/Day_5_coding_challenge|Week 5 coding challenges]].
* [[DS4UX_(Spring_2016)/Day_5_lecture#Week_5_project:_How_do_we_use_APIs_to_get_data_from_Wikipedia.3F|Week 5 project: Introducing the Wikipedia API]] — We will learn the syntax of the MediaWiki API (used by Wikipedia), as well as how to test API queries in a sandbox, and how to perform those queries in Python—in preparation for the [[DS4UX_(Spring_2016)/Day_5_coding_challenge|Week 5 coding challenges]].
*We will go over a [https://docs.google.com/document/d/1RPjvoxYX87DM_px8UX9my6rEg0V3rTcNvRHzSAHxAzU/edit list of sample APIs, datasets, and research questions] that will get you thinking about what research ''you'' want to conduct for your final class project.
*We will go over a [https://docs.google.com/document/d/1RPjvoxYX87DM_px8UX9my6rEg0V3rTcNvRHzSAHxAzU/edit list of sample APIs, datasets, and research questions] that will get you thinking about what research ''you'' want to conduct for your final class project.


;Homework
;Homework
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:* [https://communitydata.cc/~mako/cdsw-au2015-lecture2-20151024.ogv cdsw-au2015-lecture2-20151024.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture2-20151024.ogv cdsw-au2015-lecture2-20151024.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture3-20151107.ogv cdsw-au2015-lecture3-20151107.ogv]
:* [https://communitydata.cc/~mako/cdsw-au2015-lecture3-20151107.ogv cdsw-au2015-lecture3-20151107.ogv]
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=== Week 6: May 2 ===
=== Week 6: May 2 ===
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;Assignments due
;Assignments due
*[[DS4UX_(Spring_2016)#Final_Project_Idea|Final project ideas]] — '''MOVED FROM WEEK 5'''
*[[DS4UX_(Spring_2016)#Final_Project_Idea|Final project ideas]] ([https://canvas.uw.edu/courses/1040891/discussion_topics/3325827 Turn in on Canvas])
* Day 5 coding challenge


;Agenda
;Agenda
* [[DS4UX_(Spring_2016)/Day_6_lecture|Day 6 lecture]]  
* [[DS4UX_(Spring_2016)/Panama_Papers|Panama Papers project]] — using Wikipedia APIs to gather information related to a breaking news event.
:* [https://jtmorgan.net/ds4ux/week6/panama-papers.zip Click here to download the Panama Papers project]
* An interactive lecture introducing the concept of user-defined functions
:* [https://jtmorgan.net/ds4ux/week6/lecture.zip Click here to download the lecture slides and code]


;Homework
;Homework
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;Resources
;Resources
*''go here''
*[http://jtmorgan.net/ds4ux/week5/wikipedia-solutions.zip Click here to download the solutions to the week 5 coding challenges] (the ones that weren't required)
 
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=== Week 7: May 9 ===
=== Week 7: May 9 ===
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;Assignments due
;Assignments due


* Week 6 coding challenge
*[[DS4UX_(Spring_2016)/Day_6_coding_challenge|Day 6 coding challenges]] '''(Required)'''
:* [https://jtmorgan.net/ds4ux/week6/panama-papers-solutions.zip Click here to download the week 6 challenge solutions]


;Agenda
;Agenda
* [[DS4UX_(Spring_2016)/Day_7_lecture|Day 7 lecture]]
* 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.
:* [https://jtmorgan.net/ds4ux/week7/lecture.zip Click here to download the lecture slides and code]
* [[DS4UX_(Spring_2016)/Building_permits|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.
:* [https://jtmorgan.net/ds4ux/week7/bpdata.zip Click here to download the building permit code and data]


;Coding challenges
;Coding challenges
*[[DS4UX_(Spring_2016)/Day_7_coding_challenge|Day 7 coding challenges]]
*[[DS4UX_(Spring_2016)/Day_7_coding_challenge|Day 7 coding challenges]]


<!--
;Resources
;Resources
*''go here''
*''go here''
 
-->
 
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=== Week 8: May 16 ===
=== Week 8: May 16 ===
[[DS4UX_(Spring_2016)/Day_8_plan|Day 8 plan]]
[[DS4UX_(Spring_2016)/Day_8_plan|Day 8 plan]]
;Assignments due
;Assignments due
*[[DS4UX_(Spring_2016)#Final_Project_Proposal|Final project proposal]]
*[[DS4UX_(Spring_2016)#Final_Project_Proposal|Final project proposal]] '''MOVED FROM WEEK 7'''
;Agenda
;Agenda
* [[DS4UX_(Spring_2016)/Day_8_lecture|Day 8 lecture]]
*Jupyter notebooks: intro and setup
<!--
:* paws.wmflabs.org
* statistics with scipy
:* [https://en.wikipedia.org/w/index.php?title=Special:UserLogin&type=signup CLICK HERE to create a Wikipedia account]
* plotting Burke-Gilman bike traffic on rainy days
:* [https://paws-public.wmflabs.org/paws-public/User:Jtmorgan/DS4UX%20Jupyter%20intro.ipynb Jupyter intro notebook]
-->
:* [http://jtmorgan.net/ds4ux/week8/notebooks.zip Click here to download today's notebooks] ''(I'm not 100% sure this will work)''
 
*Some new concepts: <code>try/except, sleep(), dateutil.parser, datetime.datetime</code>
:* [https://paws-public.wmflabs.org/paws-public/User:Jtmorgan/Week%208%20new%20concepts.ipynb Week 8 new concepts notebook]
*Functions II: walk through examples in Jupyter and terminal
:* [https://paws-public.wmflabs.org/paws-public/user/Jtmorgan/notebooks/Parsing%20permit%20data%20demo.ipynb Building permit notebook]
:* [http://jtmorgan.net/ds4ux/week8/lecture.zip Click here to download the wiki shows demo code]
:* [https://paws-public.wmflabs.org/paws-public/user/Jtmorgan/notebooks/Wiki%20shows.ipynb Wiki-shows notebook]
;Coding challenges
;Coding challenges
*[[DS4UX_(Spring_2016)/Day_8_coding_challenge|Day 8 coding challenges]]
*No coding challenges this week!


;Resources
;Resources
*''go here''
*''Data Science from Scratch'', Joel Grus (O'Reilly)
 
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=== Week 9: May 23 ===
=== Week 9: May 23 ===
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;Agenda
;Agenda
* [[DS4UX_(Spring_2016)/Day_9_lecture|Day 9 lecture]]
* We will review the requirements for the Final Presentation and Final Project assignments
* review of key concepts and tools from this course
* We will review the course as a whole, and what we accomplished
* presentation workshop
* 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
* research study design
* We will have plenty of time to ask questions about and work on final projects
* Replicate Teahouse invite A/B test
-->


;Resources
;Resources
* ''go here''
* [http://effbot.org/pyfaq/tutor-what-is-if-name-main-for.htm What is 'if __name__ == "__main__"' for?] (''effbot.org'')
* [https://www.quora.com/What-is-use-of-main-method-in-Python-Can-someone-explain-with-example What is use of main method in Python? Can someone explain with example?] (''Quora.com'')


;Free (mostly) Python 3 tutorials and reference works
* ''[http://www.diveintopython3.net/ Dive into Python3]''
* ''[http://learnpythonthehardway.org/book/ Learn Python the Hard Way]''
* ''[http://www.python-course.eu/python3_course.php Python-Course.EU]''
* ''[http://thepythonguru.com/ The Python Guru - Beginner's tutorial]''
* ''[https://www.gitbook.com/book/krother/python-3-basics-tutorial/details GitBook Python 3 Basics Tutorial]''
* ''[https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3 WikiBooks Non-programmer's Python 3 tutorial]''
* ''[http://docs.python-guide.org/en/latest/intro/learning/ The Hitchhiker's Guide to Python]'' (links to many different tutorials!)
* ''[https://www.dataquest.io/track/data-analyst-track DataQuest Data Analyst interactive course series]''
* ''[http://shop.oreilly.com/product/0636920023784.do Python for Data Analysis]'' (O'Reilly media book)


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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 from 6pm to 9pm on 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
* [[DS4UX_(Spring_2016)/Day_10_lecture|Day 10 lecture]] - Final project report review, next steps for Data Science
* Final project presentations
* Final project presentations


;Resources
;Resources
 
* ''one''
 
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=== Week 11: June 6 ===
=== Week 11: June 6 ===
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;Assignments due
;Assignments due
*[[DS4UX_(Spring_2016)#Final_Project_Report|Final project report and code]] due '''by midnight on Wednesday, 6/8/2016'''
*[[DS4UX_(Spring_2016)#Final_Project_Report|Final project report and code]] due '''by midnight on Wednesday, 6/8/2016'''
 
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[[Category:DS4UX (Spring 2016)]]
[[Category:DS4UX (Spring 2016)]]

Latest revision as of 20:02, 23 May 2016

Week 1: March 28[edit]

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[edit]

Day 2 plan

Agenda
Homework
Resources



Week 3: April 11[edit]

Day 3 plan

Agenda
Homework
Resources
  • go here



Week 4: April 18[edit]

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[edit]

Day 5 plan

Assignments due
Agenda
Homework
Resources



Week 6: May 2[edit]

Day 6 plan

Assignments due
Agenda
  • An interactive lecture introducing the concept of user-defined functions
Homework
Resources



Week 7: May 9[edit]

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[edit]

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[edit]

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
Free (mostly) Python 3 tutorials and reference works



Week 10: June 3 (DATE CHANGE)[edit]

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[edit]

FINALS WEEK - NO CLASS

Assignments due