Login
|
Register
|
Favorites (0)
Home
Search
Search
Search for Transfer Profiles
Search for Course Equivalencies
Search for Exam Equivalencies
Search for Transfer Articulation Agreements
Search for Programs
Search for Courses
Current
Search for Colleges
Search for Open Education Resources
PA Bureau of CTE SOAR Programs
Current
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
STAT 534: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with BIOST 534; Sp.
Prerequisite:
experience with programming in a high level language
Share
STAT 534 - Statistical Computing
Favorite
STAT 535: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with BIOST 535; A.
Prerequisite:
experience with programming in a high level language
Share
STAT 535 - Statistical Computing
Favorite
STAT 536: Log-Linear Modeling and Logistic Regression for the Social Sciences
3.00 Credits
University of Washington-Seattle Campus
Loglinear modeling of multidimensional contingency tables. Logistic regression. Applications to social mobility, educational opportunity, and assortative marriage. Applied and computing focus. Offered: jointly with SOC 536/CS&SS 536.
Prerequisite:
SOC 424, SOC 425, SOC 426, or equivalent; recommended: CS&SS 505 and CS&SS 506, or equivalent
Share
STAT 536 - Log-Linear Modeling and Logistic Regression for the Social Sciences
Favorite
STAT 538: Statistical Computing
3.00 Credits
University of Washington-Seattle Campus
Introduction to scientific computing. Includes programming tools, modern programming methodologies, (modularization, object oriented design), design of data structures and algorithms, numerical computing and graphics. Uses C++ for several substantial scientific programming projects. Offered: jointly with BIOST 538; W.
Prerequisite:
experience with programming in a high level language
Share
STAT 538 - Statistical Computing
Favorite
STAT 542: Multivariate Analysis
3.00 Credits
University of Washington-Seattle Campus
Multivariate normal distribution; partial and multiple correlation; Hotelling’s T2; Bartlett’s decomposition; various likelihood ratio tests; discriminant analysis; principal components; graphical Markov models. Offered: alternate years.
Prerequisite:
STAT 582 or permission of instructor
Share
STAT 542 - Multivariate Analysis
Favorite
STAT 543: NONPAPAMETRIC STAT
3.00 Credits
University of Washington-Seattle Campus
No course description available.
Prerequisite:
Separate File
Share
STAT 543 - NONPAPAMETRIC STAT
Favorite
STAT 544: Bayesian Statistical Methods
3.00 Credits
University of Washington-Seattle Campus
Statistical methods based on the idea of a probability distribution over the parameter space. Coherence and utility. Subjective probability. Likelihood principle. Conjugate families. Structure of Bayesian inference. Limit theory for posterior distributions. Sequential experiments. Exchangeability. Bayesian nonparametrics. Empirical Bayes methods. Offered: alternate years.
Prerequisite:
STAT 513 or permission of instructor
Share
STAT 544 - Bayesian Statistical Methods
Favorite
STAT 545: STAT DECISION THY
3.00 Credits
University of Washington-Seattle Campus
No course description available.
Prerequisite:
Separate File
Share
STAT 545 - STAT DECISION THY
Favorite
STAT 546: SEQUENTIAL METHODS
3.00 Credits
University of Washington-Seattle Campus
No course description available.
Prerequisite:
Separate File
Share
STAT 546 - SEQUENTIAL METHODS
Favorite
STAT 547: Derivatives: Theory, Statistics, and Computing
4.00 Credits
University of Washington-Seattle Campus
Covers theory, computation, and statistics of options and derivatives pricing, including options on stocks, stock indices, futures, currencies, and interest rate derivatives. Recommended: ECON 424.
Prerequisite:
STAT 506 or equivalent, or permission of instructor
Share
STAT 547 - Derivatives: Theory, Statistics, and Computing
Favorite
First
Previous
1281
1282
1283
1284
1285
Next
Last
Results Per Page:
10
20
30
40
50
Search Again
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
College:
(Type the name of a College, University, Exam, or Corporation)
Course Subject:
(For example: Accounting, Psychology)
Course Prefix and Number:
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
Course Title:
(For example: Introduction To Accounting)
Course Description:
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
Within
5 miles
10 miles
25 miles
50 miles
100 miles
200 miles
of
Zip Code
Please enter a valid 5 or 9-digit Zip Code.
(For example: Find all institutions within 5 miles of the selected Zip Code)
State/Region:
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Federated States of Micronesia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Marshall Islands
Maryland
Massachusetts
Michigan
Minnesota
Minor Outlying Islands
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Northern Mariana Islands
Ohio
Oklahoma
Oregon
Palau
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virgin Islands
Virginia
Washington
West Virginia
Wisconsin
Wyoming
American Samoa
Guam
Northern Marianas Islands
Puerto Rico
Virgin Islands
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.