Editing HCDS (Fall 2017)
From CommunityData
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 1: | Line 1: | ||
<div style="font-family:Rockwell,'Courier Bold',Courier,Georgia,'Times New Roman',Times,serif; min-width:10em;"> | |||
<div style="float:left; width:100%; margin-right:2%;"> | |||
{{Link/Graphic/Main/2 | |||
|highlight color= 27666b | |||
|color=460c40 | |||
|link= | |||
|image= | |||
|text-align=left | |||
|top font-size= 1.1em | |||
|top color=FFF | |||
|line color=FFF | |||
|top text=This page is a work in progress. | |||
|bottom font-size= 1em | |||
|bottom color= FFF | |||
|bottom text=Last updated on {{REVISIONMONTH:HCDS_(Fall_2017)}}/{{REVISIONDAY2:HCDS_(Fall_2017)}}/{{REVISIONYEAR:HCDS_(Fall_2017)}} by {{REVISIONUSER:HCDS_(Fall_2017)}} | |||
|line= none | |||
}}</div></div> | |||
<div style="clear:both;"></div> | |||
;Human Centered Data Science: [https://sdb.admin.uw.edu/timeschd/uwnetid/sln.asp?QTRYR=AUT+2017&SLN=23273 DATA 512] - [https://www.datasciencemasters.uw.edu/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [http://www.washington.edu/maps/#!/den Denny Hall] 112. | ;Human Centered Data Science: [https://sdb.admin.uw.edu/timeschd/uwnetid/sln.asp?QTRYR=AUT+2017&SLN=23273 DATA 512] - [https://www.datasciencemasters.uw.edu/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [http://www.washington.edu/maps/#!/den Denny Hall] 112. | ||
; | ;Instructor: [http://jtmorgan.net Jonathan T. Morgan] | ||
; | ;TA: Oliver Keyes | ||
;Course Website: ''This'' page is the canonical information resource for DATA512. We will use [https://canvas.uw.edu/courses/1174178 the Canvas site] for announcements, file hosting, and submitting reading reflections and graded in-class assignments. We will use Jupyter Hub (see Canvas for link) for turning in other programming and writing assignments, and Slack for Q&A and general discussion. All other course-related information will be linked on this page. | ;Course Website: ''This'' page is the canonical information resource for DATA512. We will use [https://canvas.uw.edu/courses/1174178 the Canvas site] for announcements, file hosting, and submitting reading reflections and graded in-class assignments. We will use Jupyter Hub (see Canvas for link) for turning in other programming and writing assignments, and Slack for Q&A and general discussion. All other course-related information will be linked on this page. | ||
Line 16: | Line 36: | ||
== Course resources == | == Course resources == | ||
=== Office hours === | === Office hours === | ||
* Oliver: Monday (4pm-6pm) and Tuesday (4-7pm), Sieg 431, and by request. | * Oliver: Monday (4pm-6pm) and Tuesday (4-7pm), Sieg 431, and by request. | ||
Line 24: | Line 42: | ||
=== Jupyter Hub === | === Jupyter Hub === | ||
The course will use a [http://jupyter.org/ Jupyter Hub] provided by [http://westbigdatahub.org/ West Big Data Hub] and administered by [https://bids.berkeley.edu/people/yuvi-panda Yuvi Panda] at the Berkeley Institute for Data Science. Students use Jupyter notebooks for in-class and homework assignments that involve a combination of programming, analysis, documentation, and reflection. Allowing students to work in a shared, online environment reinforces best practices around open research such as transparency, iteration, and reproducibility. It also helps teaches them how to tell the story of their research using multiple media (code, data, prose, and visualizations), making it more accessible and impactful for a wider variety of audiences. | The course will use a [http://jupyter.org/ Jupyter Hub] provided by [http://westbigdatahub.org/ West Big Data Hub] and administered by [https://bids.berkeley.edu/people/yuvi-panda Yuvi Panda] at the Berkeley Institute for Data Science. Students use Jupyter notebooks for in-class and homework assignments that involve a combination of programming, analysis, documentation, and reflection. Allowing students to work in a shared, online environment reinforces best practices around open research such as transparency, iteration, and reproducibility. It also helps teaches them how to tell the story of their research using multiple media (code, data, prose, and visualizations), making it more accessible and impactful for a wider variety of audiences. | ||
== Schedule == | == Schedule == | ||
Line 63: | Line 66: | ||
</div>--> | </div>--> | ||
== Datasets == | |||
For some examples of datasets you could use for your [[HCDS_(Fall_2017)/Assignments#A3:_Final_project_plan|final project]], see [[HCDS_(Fall_2017)/Datasets]]. | |||
== Policies == | == Policies == |