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Winter 2021

 

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Mathematics (MATH)
202 Fenton, 541-346-4705
College of Arts & Sciences
Course Data
  MATH 345M   Stats for Data Science 4.00 cr.
Introduction to probability and statistics, with an emphasis upon topics relevant for data science. Multi-listed with DSCI 345M. Students cannot get credit for both MATH 343 and DSCI 345M/MATH 345M.
Grading Options: Graded for all students
Instructor: Merchant E
See CRN for CommentsPrereqs/Comments: Prereq: MATH 342, CIS 211.
Course Materials
 
  CRN Avail Max Time Day Location Instructor Notes
  25641 20 34 1215-1345 mw 00 REMOTE Merchant E !
1230-1330 f 00 REMOTE
Academic Deadlines
Deadline     Last day to:
January 3:   Process a complete drop (100% refund, no W recorded)
January 9:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
January 9:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
January 10:   Process a complete withdrawal (90% refund, W recorded)
January 10:   Withdraw from this course (100% refund, W recorded)
January 11:   Add this course
January 11:   Last day to change to or from audit
January 17:   Process a complete withdrawal (75% refund, W recorded)
January 17:   Withdraw from this course (75% refund, W recorded)
January 24:   Process a complete withdrawal (50% refund, W recorded)
January 24:   Withdraw from this course (50% refund, W recorded)
January 31:   Process a complete withdrawal (25% refund, W recorded)
January 31:   Withdraw from this course (25% refund, W recorded)
February 21:   Withdraw from this course (0% refund, W recorded)
Caution You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day.

Expanded Course Description

Introduction to probability and statistics, with an emphasis on topics relevant for data science. Topics include descriptive statistics, discrete and continuous probability distributions over multiple random variables, confidence intervals, hypothesis testing, and data analysis and simulation in Python.

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Release: 8.11