STATS 406 - Computational Methods in Statistics and Data Science
Section: 001
Term: WN 2018
Subject: Statistics (STATS)
Department: LSA Statistics
Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
99
Advisory Prerequisites:
[MATH 214 OR MATH 217 OR MATH 417] AND [(STATS 250 AND MATH/STATS 425) OR STATS 412 OR STATS 426] AND [STAT 306 OR EECS 183 OR ENGR 101 OR EECS 280].
Other Course Info:
F.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.

Selected topics in statistical computing, including basic numerical aspects, iterative statistical methods, principles of graphical analyses, simulation and Monte Carlo methods, generation of random variables, stochastic modeling, importance sampling, numerical and Monte Carlo integration.

STATS 406 - Computational Methods in Statistics and Data Science
Schedule Listing
001 (LEC)
P
31232
Open
39
19STATS Maj
10DATA SCIENCE
10STATS Grad
-
MW 10:00AM - 11:30AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 9781466586963
Advanced R (Chapman & Hall/CRC The R Series)Oct 28, 2014 by Hadley Wickham
Optional
ISBN: 9781482234817
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) Apr 23, 2015
Optional
ISBN: 9781584885450
Statistical computing with R, Author: Maria L. Rizzo., Publisher: Chapman & Hall/CRC 2008
Optional
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