STATS 406 - Computational Methods in Statistics and Data Science
Fall 2019, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics

Details

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.
Primary Instructor:

Description

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.

Schedule

STATS 406 - Computational Methods in Statistics and Data Science
Schedule Listing
001 (LEC)
 In Person
22985
Open
21
 
 
-
WF 8:30AM - 10:00AM

Textbooks/Other Materials

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Syllabi

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