CSE217 INTRODUCTION TO DATA SCIENCE COURSE WEBSITE, SYLLABUS, - - PowerPoint PPT Presentation

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CSE217 INTRODUCTION TO DATA SCIENCE COURSE WEBSITE, SYLLABUS, - - PowerPoint PPT Presentation

Apr 25, 2023 458 likes •563 views

CSE217 INTRODUCTION TO DATA SCIENCE COURSE WEBSITE, SYLLABUS, ACADEMIC INTEGRITY Spring 2019 Marion Neumann ABOUT Marion Neumann office: Jolley Hall 222 You are a real person! office hours: THU 3-4pm contact: use Piazza

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CSE217 INTRODUCTION TO DATA SCIENCE

Spring 2019 Marion Neumann COURSE WEBSITE, SYLLABUS, ACADEMIC INTEGRITY

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ABOUT

  • Marion Neumann
  • office: Jolley Hall 222
  • office hours: THU 3-4pm
  • contact: use Piazza (http://piazza.com/wustl/spring2019/cse217a)
  • Course website: https://sites.wustl.edu/neumann/courses/cse217a/sp19/

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Bookmark me!!!

You are a real person!

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READING AND SETUP

No real course book. Reference books:

  • [PDSH] Python Data Science Handbook by VanderPlas, O’Reilly Media, 2016.
  • [DSFS] Data Science from Scratch by Joel Grus, O’Reilly Media, 2015. (2nd edition from

2019) à electronic copies available through the Wash U library for viewing online All reading will be posted on the course webpage and is considered course materials and is exam-relevant!

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Resources:

https://sites.wustl.edu/neumann/courses/cse217a/resources/ Install Python via Anaconda before next lab!

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SLIDE 4

GRADING AND POLICIES

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Course Syllabus:

https://sites.wustl.edu/neumann/courses/cse217a/syllabus/ By staying enrolled in this course you confirm that you read, understood, and agreed to the course syllabus.

Exams:

  • Midterm: March 7 2019 (in-class)
  • Final: May 8 2019 6-8pm

(scheduled by university)

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COLLABORATION POLICY

Collaboration: yes

  • discuss course materials with other

students à join a study group

Cheating: no

  • do not copy answers/code or parts of

answers/code from anyone else or from any material you find online

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This is your only warning! For more information check the course syllabus!

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SLIDE 6

This is how it works:

1. Discuss materials with others. Join a study group. 2. After discussing the problems, wait 30min-1hr. 3. Then, write solution or code up implementation on your own. 4. Debug on your own first!

  • try at least 3 different things to fix bugs/solve issue
  • search Piazza for a solution
  • spend about 30mins on this before proceeding to next step

5. Only after performing step 4 and if bug still persists:

  • debug with study group members
  • go to the TAs in their office hours
  • post on Piazza

6. For every problem indicate with whom you discussed the problem:

  • for class/study group members indicate the full name and student IDs
  • for TAs indicate name
  • cite any online source you used

7. Do not share any of your solutions (written or code) with anyone else or post them publically (online or via Piazza).

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Collaboration: yes Cheating: no

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GOAL FOR TODAY: LAB INTRO

  • Group Activity:
  • Let’s figure out what data science is!
  • Timeline:
  • 10min: assign and get familiar with roles
  • 10min: introduction of group members and roles
  • 20min: discussion within group
  • 15min: report back to class
  • 5min: quiz

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Roles: Discussion Leader Speaker Note Taker Time Keeper Devil’s Advocate

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CHECK-OUT QUIZ

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  • 1. go to:

https://b.socrative.com/login/student/

  • 2. room name: CSE217SECTION_
  • 3. enter your student ID (6-digit number)

QUIZ

bookmark the link

  • r get the app

1 for Section 1 (2:30pm) 2 for Section 2 (4pm)