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CSE217 INTRODUCTION TO DATA SCIENCE Spring 2019 Marion Neumann COURSE WEBSITE, SYLLABUS, ACADEMIC INTEGRITY

CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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Page 1: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

CSE217 INTRODUCTION TO DATA SCIENCE

Spring 2019Marion Neumann

COURSE WEBSITE, SYLLABUS, ACADEMIC INTEGRITY

Page 2: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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!

Page 3: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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!

Page 4: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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 agreedto the course syllabus.

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

(scheduled by university)

Page 5: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

COLLABORATION POLICY

Collaboration: yes• discuss course materials with other

students à join a study groupCheating: 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!

Page 6: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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: yesCheating: no

Page 7: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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 LeaderSpeakerNote TakerTime KeeperDevil’s Advocate

Page 8: CSE217 INTRODUCTION TO DATA SCIENCEm.neumann/sp2019/cse217/slides/00_Logistics.pdfREADING AND SETUP No real course book. Reference books: • [PDSH]Python Data Science Handbookby VanderPlas,

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)

QUIZbookmark the link or get the app

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