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Introduction to Probability for Data Analytics

STAT 3201: Introduction to Probability for Data Analytics

An introduction to probability and its role in statistical methods for data analytics. Equal emphasis is placed on analytical and simulation-based methods for quantifying uncertainty. Approaches to assessing the accuracy of simulation methods are discussed. Applications of probability and sampling to big-data settings are discussed.
Prereq: Math 1152, 1161.xx, 1172, 1181, or equiv; or permission of instructor. Not open to students with credit for 4201 or Math 4530.
Credit Hours
3

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.


Recent Syllabi

AU20 STAT 3201 Lovekar [pdf]
AU20 STAT 3201 Sasan [pdf]

SP20 STAT 3201 Lovekar [pdf]
SP20 STAT 3201 Sasan [pdf]

AU19 STAT 3201 Cleymaet [pdf]
AU19 STAT 3201 Geels [pdf]
AU19 STAT 3201 Kurtek [pdf]
AU19 STAT 3201 Sasan [pdf]

SP19 STAT 3201 Chkrebtii [pdf
SP19 STAT 3201 Donges [pdf]

AU18 STAT 3201 Chkrebtii [pdf] 
AU18 STAT 3201 Donges [pdf] 
AU18 STAT 3201 Paul [pdf]

SP18 STAT 3201 Kurtek [pdf]

AU17 STAT 3201 Chkrebtii [pdf]
AU17 STAT 3201 Kurtek [pdf] 
AU17 STAT 3201 Paul [pdf] 

SP17 STAT 3201 Kurtek [pdf]

AU16 STAT 3201 Kurtek [pdf]

AU15 STAT 3201 Kurtek [pdf]



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Semester(s) Offered:

Autumn
Spring