Editing DS4UX (Spring 2016)

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:'''Community Data Science: Programming and Data Science for User Experience Research'''
:'''Community Data Science: Programming and Data Science for User Experience Research'''
:'''HCDE598A''' - Department of Human Centered Design & Engineering
:'''HCDE598A''' - Department of Human Centered Design & Engineering
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*performing data visualization and statistical analysis using code (not GUIs)
*performing data visualization and statistical analysis using code (not GUIs)
*implementing experimental designs such as A/B tests and funnel analysis
*implementing experimental designs such as A/B tests and funnel analysis
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== Overview and Learning Objectives ==
== Overview and Learning Objectives ==
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*Understand database schemas and use MySQL to extract user data from relational databases.
*Understand database schemas and use MySQL to extract user data from relational databases.
*Use web-based data to effectively answer a substantively interesting question and to present this data effectively in the context of both a formal presentation and a written report.
*Use web-based data to effectively answer a substantively interesting question and to present this data effectively in the context of both a formal presentation and a written report.
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=== Where does this course come from? ===
=== Where does this course come from? ===
This course is based on the curriculum of the [[Community_Data_Science_Workshops|Community Data Science Workshop series]] and [http://www.com.washington.edu/hill/ Professor Benjamin Mako Hill's] course ''[[Community_Data_Science_Course_(Spring_2015)|COM597G: Community Data Science: Programming and Data Science for Social Media]]'', offered first in Spring 2015, as well as in [[Community_Data_Science_Course_(Spring_2016)|Spring 2016]].  
This course is based on the curriculum of the [[Community_Data_Science_Workshops|Community Data Science Workshop series]] and [http://www.com.washington.edu/hill/ Professor Benjamin Mako Hill's] course ''[[Community_Data_Science_Course_(Spring_2015)|COM597G: Community Data Science: Programming and Data Science for Social Media]]'', offered first in Spring 2015, as well as in [[Community_Data_Science_Course_(Spring_2016)|Spring 2016]].  


For the first three weeks, we'll be paralleling these previous courses quite closely. Once we have hammered down some of the basics, we'll start to explore some tools, skills, and use cases that are more directly aligned with HCDE backgrounds and UX professional contexts.
For the first three weeks, we'll be paralleling these previous courses quite closely. Once we have hammered down some of the basics, we'll start to explore some tools, skills, and use cases that are more directly aligned with HCDE backgrounds and UX professional contexts.
<br/>
<br/>


=== Note About This Syllabus ===
== Note About This Syllabus ==  


You should expect this syllabus to be a dynamic document and you will notice that there are a few places marked "''To Be Determined''." Although the core expectations for this class are fixed, the details of readings and assignments may shift based on how the class goes. As a result, there are three important things to keep in mind:
You should expect this syllabus to be a dynamic document and you will notice that there are a few places marked "''To Be Determined''." Although the core expectations for this class are fixed, the details of readings and assignments may shift based on how the class goes. As a result, there are three important things to keep in mind:
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# Closely monitor your email or the announcements section on the [https://canvas.uw.edu/courses/1040891/announcements course website on Canvas]. Because this a wiki, you will be able to track every change by clicking the ''history'' button on this page. I will also summarize these changes in an announcement [https://canvas.uw.edu/courses/1040891/announcements on Canvas] that will be emailed to everybody in the class.
# Closely monitor your email or the announcements section on the [https://canvas.uw.edu/courses/1040891/announcements course website on Canvas]. Because this a wiki, you will be able to track every change by clicking the ''history'' button on this page. I will also summarize these changes in an announcement [https://canvas.uw.edu/courses/1040891/announcements on Canvas] that will be emailed to everybody in the class.
# I will ask the class for voluntary anonymous feedback frequently — especially toward the beginning of the quarter. Please let me know what is working and what can be improved. In the past, I have made many adjustments based on this feedback.
# I will ask the class for voluntary anonymous feedback frequently — especially toward the beginning of the quarter. Please let me know what is working and what can be improved. In the past, I have made many adjustments based on this feedback.
<br/>


=== Books ===
== Books ==
This class is going to be a studio and project based class. Although we will not rely very heavily on readings or discussing them in depth in class, '''[http://www.pythonlearn.com/book.php Python for Informatics: Exploring Information]''' by Charles Severance covers much of the material we cover in this course, and can serve as a reference work for review and self-study.
This class is going to be a studio and project based class. Although we will not rely very heavily on readings or discussing them in depth in class, '''[http://www.pythonlearn.com/book.php Python for Informatics: Exploring Information]''' by Charles Severance covers much of the material we cover in this course, and can serve as a reference work for review and self-study.


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Some people find it's helpful to have a book to learn a new programming language: it tells you want you "don't know you don't know". Other people prefer to use adhoc resources. I'll point you to resources I find helpful throughout the semester.
Some people find it's helpful to have a book to learn a new programming language: it tells you want you "don't know you don't know". Other people prefer to use adhoc resources. I'll point you to resources I find helpful throughout the semester.
<br/>


=== General Notes ===
== General Notes ==


* I expect you to come to class every day ''with your own laptop''. Windows, Mac OS and Linux are all fine but an iPad or Android tablet is not going to cut it. We're going to install software during the class and you'll be working on projects for homework so please bring the same laptop each time. If for some reason your laptop dies mid-course, please contact me so we can get your new one up to speed.
* I expect you to come to class every day ''with your own laptop''. Windows, Mac OS and Linux are all fine but an iPad or Android tablet is not going to cut it. We're going to install software during the class and you'll be working on projects for homework so please bring the same laptop each time. If for some reason your laptop dies mid-course, please contact me so we can get your new one up to speed.
* Much of the class will be project-based and Ray and I will be available to help you through challenges you encounter in this work during class. If you have questions and need to reach to somebody outside of class, however, please reach out to me!
* Much of the class will be project-based and Ray and I will be available to help you through challenges you encounter in this work during class. If you have questions and need to reach to somebody outside of class, however, please reach out to me!
<br/>
<br/>


== Assignments ==
== Assignments ==
The assignments in this class are designed to give you an opportunity to try your hand at using the technical skills that we're covering in the class. In addition to the four major assignments described below, there will be weekly assignments (tutorials and coding challenges) that I will ask you to complete and (sometimes) hand in, but these will only be graded as ''complete/incomplete''. Like many technical subjects, Data Science tends to build on earlier ideas, so I strongly suggest that you devote time to assignments every single week.
The assignments in this class are designed to give you an opportunity to try your hand at using the technical skills that we're covering in the class. In addition to the four major assignments described below, there will be weekly assignments (tutorials and coding challenges) that I will ask you to complete and (sometimes) hand in, but these will only be graded as ''complete/incomplete''. Like many technical subjects, Data Science tends to build on earlier ideas, so I strongly suggest that you devote time to assignments every single week.
<br/>
 
 


=== Final Project Idea ===
=== Final Project Idea ===
:'''Maximum Length:''' 600 words (~2 pages double spaced)
:'''Maximum Length:''' 600 words (~2 pages double spaced)
:'''Due Date:''' May 2
:'''Due Date:''' April 25
:'''Drop box:''' [https://canvas.uw.edu/courses/1040891/discussion_topics/3325827 Turn in on Canvas]
:'''Drop box:''' [[TODO canvas assignments Turn in on Canvas]]
 


In this assignment, you should identify an area of interest, at least 2 datasets or APIs with relevant data, and at least 3 questions that you plan to explore. I am hoping that each of you will pick an area or domain that you are intellectually committed to and invested in (e.g., in your business or personal life). You will be successful if you describe the scope of the problem and explain why you think the data sources you've identified are relevant.
In this assignment, you should identify an area of interest, at least 2 source domains with relevant data, and at least 3-4 questions that you plan to explore. I am hoping that each of you will pick an area or domain that you are intellectually committed to and invested in (e.g., in your business or personal life). You will be successful if you describe the scope of the problem and explain why you think the data sources you've identified are relevant.


I will give you feedback on these write-ups and will let you each know if I think you have identified a questions that might be too ambitious, too trivial, too broad, too narrow, etc.
I will give you feedback on these write-ups and will let you each know if I think you have identified a questions that might be too ambitious, too trivial, too broad, too narrow, etc.
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=== Final Project Proposal ===  
=== Final Project Proposal ===  
:'''Maximum Length:''' 1500 words (~4 pages)
:'''Maximum Length:''' 1500 words (~5 pages)
:'''Due Date:''' May 16th (at 6pm)
:'''Due Date:''' May 9th (at 6pm)


This proposal should focus on two questions:
This proposal should focus on two questions:
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Your proposal should frame your final analysis, but it's also a chance to "sanity check" your plan. I will give you feedback on these proposals and suggest changes or modifications that are more likely to make them successful or compelling. I will also work with you to make sure that you have the resources and support necessary to carry out your project successfully.
Your proposal should frame your final analysis, but it's also a chance to "sanity check" your plan. I will give you feedback on these proposals and suggest changes or modifications that are more likely to make them successful or compelling. I will also work with you to make sure that you have the resources and support necessary to carry out your project successfully.
<br/>
 
 


=== Final Project Presentation ===
=== Final Project Presentation ===
:'''Presentation Date:''' June 3
:'''Presentation Date:''' May 30


Your presentation should do everything that your paper does and should provide me with a very clear idea of what to expect in your final report. I'm going to give you all at least a paragraph of feedback after your talk. This will be an opportunity for me to see a preview of your report and give you a sense for what I think you can improve. It's to your advantage to both give a compelling talk and to give me a sense for your project.
Your presentation should do everything that your paper does and should provide me with a very clear idea of what to expect in your final report. I'm going to give you all at least a paragraph of feedback after your talk. This will be an opportunity for me to see a preview of your report and give you a sense for what I think you can improve. It's to your advantage to both give a compelling talk and to give me a sense for your project.


;Timing: All presentations will need to be '''a maximum of 5 minutes long'' with additional 2-3 minutes for questions and answers. Timing is going to be tight and I'm going to set an alarm and stop presentations that go too long. Concisely communicating an idea in the time allotted is an important skill in it's own right.
;Timing: All presentations will need to be '''a maximum of 5 minutes long'' with additional 2-3 minutes for questions and answers. Timing is going to be tight and I'm going to set an alarm and stop presentations that go too long. Concisely communicating an idea in the time allotted is an important skill in it's own right.


;Slides: You are encouraged to use slides for your talk but I will need your slides ahead of class.
;Slides: You are encouraged to use slides for your talk but I will need your slides ahead of class.
<br/>
 
 


=== Final Project Report ===
=== Final Project Report ===
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The very best reports will give us all a new understanding of some aspect of course material and change the way I teach some portion of this course in the future.
The very best reports will give us all a new understanding of some aspect of course material and change the way I teach some portion of this course in the future.
<br/>
 


==== Code ====
==== Code ====
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At least 25% of your grade for this project will be determined by the visualizations and tables in your report. Good visualizations should "stand alone" and motivate the core results in your paper all by themselves. A good question to keep in mind is "could I tell this story with the visualizations and a tweet?"
At least 25% of your grade for this project will be determined by the visualizations and tables in your report. Good visualizations should "stand alone" and motivate the core results in your paper all by themselves. A good question to keep in mind is "could I tell this story with the visualizations and a tweet?"
<br/>
<br/>


=== Weekly Tutorials and Coding Challenges ===
=== Weekly Tutorials and Coding Challenges ===
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Graded coding challenges only account for a small part of your grade, but if you repeatedly ignore them the numbers will add up. Worse: you're likely to fall behind in the course. Best practice is to always turn something in! Remember: you're not being graded on whether you answered the question correctly, only that you attempted to answer the question.
Graded coding challenges only account for a small part of your grade, but if you repeatedly ignore them the numbers will add up. Worse: you're likely to fall behind in the course. Best practice is to always turn something in! Remember: you're not being graded on whether you answered the question correctly, only that you attempted to answer the question.
<br/>
 


=== Participation ===
=== Participation ===
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In general, I prefer that students feel they can "politely interrupt" at any time to seek clarification or make a well-informed point.
In general, I prefer that students feel they can "politely interrupt" at any time to seek clarification or make a well-informed point.
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<br/>


== Schedule ==
== Schedule ==
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Attendance in class is expected of all participants. This class is going to move very quickly and the things we learn will build on the things we've covered the week before. ''It will be extremely difficult to miss classes.'' If you need to miss class for any reason, please contact the instructor ahead of time (email is best). Multiple unexplained absences will likely result in a lower grade or (in extreme circumstances) a failing grade. In the event of an absence, you are responsible for obtaining class notes, handouts, assignments, etc.
Attendance in class is expected of all participants. This class is going to move very quickly and the things we learn will build on the things we've covered the week before. ''It will be extremely difficult to miss classes.'' If you need to miss class for any reason, please contact the instructor ahead of time (email is best). Multiple unexplained absences will likely result in a lower grade or (in extreme circumstances) a failing grade. In the event of an absence, you are responsible for obtaining class notes, handouts, assignments, etc.
<br/>


=== Office Hours ===
=== Office Hours ===
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Remote meetings, using Skype or Google Hangout, are always an option. Please contact me or Ray Hong on email to arrange a meeting.
Remote meetings, using Skype or Google Hangout, are always an option. Please contact me or Ray Hong on email to arrange a meeting.
<br/>


=== Disability Accommodations Statement ===
=== Disability Accommodations Statement ===


To request academic accommodations due to a disability please contact Disability Resources for Students, 448 Schmitz, 206-543-8924/V, 206-5430-8925/TTY. If you have a letter from Disability Resources for Students indicating that you have a disability that requires academic accommodations, please present the letter to me so we can discuss the accommodations that you might need for the class. I am happy to work with you to maximize your learning experience.
To request academic accommodations due to a disability please contact Disability Resources for Students, 448 Schmitz, 206-543-8924/V, 206-5430-8925/TTY. If you have a letter from Disability Resources for Students indicating that you have a disability that requires academic accommodations, please present the letter to me so we can discuss the accommodations that you might need for the class. I am happy to work with you to maximize your learning experience.
<br/>


=== Grades ===
=== Grades ===


Grades for individual components for this course (participation, coding challenges, final project deliverables) will be assigned based on the following criteria. For more information on grading policy, see the [http://www.hcde.washington.edu/myhcde/grading-policies HCDE grading policy] and the [http://depts.washington.edu/grading/conduct/grading.html UW Academic Conduct policy for grading].
Final course grades will be assigned based on the following criteria. For more information on grading policy, see the [http://www.hcde.washington.edu/myhcde/grading-policies HCDE grading policy] and the [UW Academic Conduct policy for grading http://depts.washington.edu/grading/conduct/grading.html].  
 
To learn more about how I will evaluate your overall performance for the course, please see [https://mako.cc/teaching/assessment.html Professor Benjamin Mako Hill's assessment rubric].


{| class="wikitable"
{| class="wikitable"
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|30%
|30%
|}
|}
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==== Participation ====
You are not graded on whether you show up to class, or not. However, you ''are'' graded on your participation in class. Everyone misses class every once in a while. However, if you need to miss a class and you want to assure that your absence does not negatively impact your grade, follow the steps steps to demonstrate that you engaged with the material covered during that class session.
'''IMPORTANT: For full participation credit on a day you are absent, you ''must'' contact the instructor or TA before 10pm the day after class via email with this information:'''
# you have reviewed any materials we covered in the class, including instructor slides, links, videos, etc. (check the wiki)
# you have attempted to perform any in-class exercises that we performed during class (if they're listed on the wiki).
# you have turned in any assignments (graded coding challenges, project deliverables) due during the that week's class


'''In your email:''' please ask questions, what confused you, tell us how far you got on the coding challenges, and be honest about what you couldn't complete. I also highly recommend that you share your solutions or partial solutions in the email--sending me python files and/or pasting code into the body of an email is totally fine--this helps me and Ray understand your thought process and evaluate your effort and your progress.
==== Participation, Quizzes, and Coding Challenges ====
<br/>


==== Coding Challenges ====
Grades for participation, quizzes, and coding challenges are evaluated as ''complete/incomplete''. You gain a 'complete' for quizzes and coding challenges by turning in the assignment (whether or not your answers are correct, or your code runs). You gain a 'complete' for participation by showing up to class. If you are unable to attend class, you can still gain a 'complete' if you take the following steps by 10pm on the day after class:
 
* have reviewed any materials we covered in the class, including instructor slides, links, videos, etc. (check the wiki)
Only about half of the coding challenges will be graded (and I will be very clear which ones those are, so there is no confusion). Graded coding challenges are evaluated as ''complete/incomplete''. You gain a 'complete' for coding challenges by turning in the assignment (whether or not your answers are correct, or your code runs) via the submission channel I specified for that assignment.
* have attempted to perform any in-class exercises that we performed during class (if they're listed on the wiki)
<br/>
* have turned in any assignments (quizzes, coding challenges, project deliverables) due during the that week's class, AND
* have emailed the instructor by no later than 9pm the day after class, informing him that you performed the above actions


==== Final project deliverables ====
==== Final project deliverables ====
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;2.7 - 2.9: Borderline work for a graduate student; barely meets the minimal expectations for a graduate student in the course. Work is inadequately developed, important issues are misunderstood, and in many cases assignments are late or incomplete. This is the minimum grade needed to pass the course. ''Clients who received a deliverable of this quality would likely delay payment until one or more criteria were met.''
;2.7 - 2.9: Borderline work for a graduate student; barely meets the minimal expectations for a graduate student in the course. Work is inadequately developed, important issues are misunderstood, and in many cases assignments are late or incomplete. This is the minimum grade needed to pass the course. ''Clients who received a deliverable of this quality would likely delay payment until one or more criteria were met.''
<br/>
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=== Plagiarism ===
;Writing:
Please don't use other people's writing as your own. It's easy to spot plagiarism of this type, and the consequences can be serious (see link below).
;Code:
Programmers routinely copy chunks of code from other people's programs into their own programs. This in itself does not constitute plagiarism--though when in doubt, it is best to inform your instructor that you copied/adapted some part of your code from another source. I encourage you to adapt code from our in-class demonstrations, exercises, and coding challenges to your final project if you think that code will work for you. However, please do NOT copy whole scripts or substantial parts of scripts from other sources and try to pass it off as your own. Again, this is easy to spot--experienced programmers have their own 'styles' and conventions and it generally contrasts with the style of less experienced programmers. Also, if you're copying code because you don't know how to reproduce it yourself, you're probably not learning very much, and that will come back to bite you later in the course, and maybe even in your professional life!
For more information, see [http://www.hcde.washington.edu/policies/plagiarism-and-academic-conduct the UW policy on plagiarism and academic conduct].




[[Category:DS4UX (Spring 2016)]]
[[Category:DS4UX (Spring 2016)]]
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