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 (http://piazza.com/wustl/spring2019/cse217a) Bookmark me!!! • Course website : https://sites.wustl.edu/neumann/courses/cse217a/sp19/ 2
READING AND SETUP Resources: https://sites.wustl.edu/neumann/courses/cse217a/resources/ Install Python via Anaconda No real course book. before next lab! 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 ! 3
GRADING AND POLICIES Course Syllabus: https://sites.wustl.edu/neumann/courses/cse217a/syllabus/ Exams: Midterm: March 7 2019 (in-class) • Final: May 8 2019 6-8pm • By staying enrolled in this (scheduled by university) course you confirm that you read , understood, and agreed to the course syllabus. 4
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 This is your only warning! For more information check the course syllabus! 5
Collaboration: yes Cheating: no 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). 6
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 Roles: • 5min : quiz Discussion Leader Speaker Note Taker Time Keeper Devil’s Advocate 7
CHECK-OUT QUIZ QUIZ bookmark the link or get the app 1. go to: https://b.socrative.com/login/student/ 1 for Section 1 (2:30pm) 2 for Section 2 (4pm) 2. room name: CSE217SECTION_ 3. enter your student ID (6-digit number) 8
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