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Fall 2026

 

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Mathematics (MATH)
202 Fenton, 541-346-4705
College of Arts & Sciences
8 - No cost for class textbook materials.
Y - Combined final exam. See Final Exam Schedule.
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: Collins-Woodfin EE-mail Office:   314A Fenton Hall
Phone:   (541) 346-5602
See CRN for CommentsPrereqs/Comments: Prereq: MATH 342, CS 211.
Course Materials
 
  CRN Avail Max Time Day Location Instructor Notes
  13398 9 32 1600-1720 mw See DuckWeb Collins-Woodfin E !8Y
Academic Deadlines
Deadline     Last day to:
September 27:   Process a complete drop (100% refund, no W recorded)
October 3:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
October 3:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
October 4:   Process a complete withdrawal (90% refund, W recorded)
October 4:   Withdraw from this course (100% refund, W recorded)
October 5:   Add this course
October 5:   Last day to change to or from audit
October 11:   Process a complete withdrawal (75% refund, W recorded)
October 11:   Withdraw from this course (75% refund, W recorded)
October 18:   Process a complete withdrawal (50% refund, W recorded)
October 18:   Withdraw from this course (50% refund, W recorded)
October 25:   Process a complete withdrawal (25% refund, W recorded)
October 25:   Withdraw from this course (25% refund, W recorded)
November 15:   Withdraw from this course (0% refund, W recorded)
Caution For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar

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, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor 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