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Lectures: MW 11 am - 12:15 pm (SSMS 1303)
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Office: South Hall 5514
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Office hours: Tuesday 4-6 pm
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Sections: F 9 - 9:50 am (SSMS 1302) / 12 - 12:50 pm (SSMS 1303)
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Office: South Hall 6432-W
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Office hours: Thursday 1-3 pm
http://deadsimplechat.com/pstat-134-234
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Register your email addresses here: https://goo.gl/forms/OfSolJsYjgCNgjCt2
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Week 2 feedback: https://goo.gl/forms/RWF6E51EkHxG9kng2
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Git tutorial videos: https://www.youtube.com/playlist?list=PLnBmnPde1L9dsZV1cR2DFYNLNKrO56mjy
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Dead simple chat: http://deadsimplechat.com/xHFga
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Assignment 1 in python, verify some known theoretical property empirically: e.g., a theorem, or statistical (or probability) model.
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Readings and exploring!
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Regular expression: https://regexone.com/lesson/introduction_abcs
http://www.cbs.dtu.dk/courses/27610/regular-expressions-cheat-sheet-v2.pdf -
Data science article: http://www.pnas.org/content/114/33/8689
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Read Chapter 3 on Pandas
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Midterm will be April 30 during class. Material will cover readings and concepts from lecture notes. You will be able to use the computer to look up documentation, verify commands, etc. However, the exam will be done individually without communication with each other. What you hand-in will be on paper. Print outs will be provided. (As noted before,
gittopics will not be asked) -
Assignment 2 will be posted later tonight.
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Please plan to use lab computers for the midterm. DSP students accommodations will be finalized soon.
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Evidation health data module: collecting your data is encouraged but not required. There will be a backup option.
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Answering open-ended questions
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Git setting update on Jupyterhub
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Assignment 3: due May 11 (Friday) at 10 pm
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Reminder: open Fitbit App to sync your data
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Restarting your Jupyter notebook server
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Docker installation instruction will be available later today
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Special office hours Monday and Tuesday 4-6 pm for any installation issues
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Homework 3 has been extended with future date TBD
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Download Docker:
- Windows (check requirements): https://store.docker.com/editions/community/docker-ce-desktop-windows
- Mac (check requirements): https://store.docker.com/editions/community/docker-ce-desktop-mac
- On older systems that do not meet requirements: https://docs.docker.com/toolbox/overview/
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Docker Community Edition installation on newer systems (check the system requirements):
- Mac instructions: https://docs.docker.com/docker-for-mac/install/
- Windows instructions: https://docs.docker.com/docker-for-windows/install/
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Docker Toolbox installation (if the system requirements are not met):
- Mac instructions: https://docs.docker.com/toolbox/toolbox_install_mac/
- Windows instructions: https://docs.docker.com/toolbox/toolbox_install_windows/
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Jupyter notebook base image: https://hub.docker.com/r/jupyter/datascience-notebook/
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Course notebook image: https://hub.docker.com/r/syoh/pstat-134-234/
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Midterm grades have been posted to GauchoSpace
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Project ideas will be posted later today (discuss your ideas with me)
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Form your groups if not in one already
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Health data module repository: https://github.com/evidation-health/EvidationDataScienceModule
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Finding group members on Piazza: https://piazza.com/class/jfjxm6danlc43g?cid=5
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Progress report - Due May 28 at 10 pm: one submission from each group
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Presentation date sign up after May 28
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Presentations will take place starting Wednesday this week
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Making your project available through PSTAT 134/234 repository
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Regular office hours on Tuesday
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Extra credit for summary of presentations (up to three summaries/up to 2% of final grade)
- Summary of project: data science questions and conclusions (or insights)
- What you liked about the project
- One or two questions about the project
- What other questions you would like to tackle if you worked on the project in plain words
- Thought experiment of what changes would be needed (data, methods, etc) and what you expect (or hope) to see