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Fall 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. Multilisted with DSCI 345M. Students cannot get credit for both MATH 343 and DSCI 345M/MATH 345M.
Grading Options: Graded for all students
Instructor: Young BE-mail Office:   211 Fenton Hall
Phone:   (541) 346-8407
See CRN for CommentsPrereqs/Comments: Prereq: MATH 342, CIS 211.
 
  CRN Avail Max Time Day Location Instructor Notes
  17991 20 25 1200-1250 mwf 232 LIL Young B !

Final Exam:

1015-1215 r 12/09 232 LIL
Academic Deadlines
Deadline     Last day to:
September 26:   Process a complete drop (100% refund, no W recorded)
October 2:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
October 2:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
October 3:   Process a complete withdrawal (90% refund, W recorded)
October 3:   Withdraw from this course (100% refund, W recorded)
October 4:   Add this course
October 6:   Last day to change to or from audit
October 10:   Process a complete withdrawal (75% refund, W recorded)
October 10:   Withdraw from this course (75% refund, W recorded)
October 17:   Process a complete withdrawal (50% refund, W recorded)
October 17:   Withdraw from this course (50% refund, W recorded)
October 24:   Process a complete withdrawal (25% refund, W recorded)
October 24:   Withdraw from this course (25% refund, W recorded)
November 14:   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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