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PROGRAM IN ADVANCED STATISTICAL STUDIES

Engineering Statistics

Program Registration Fee: $395, plus individual course enrollment fees.

About this Program: This program provides the statistical skills required in engineering applications. Note that one or two of the courses listed here have multiple domain applications; Survival Analysis (commonly termed "Lifetime Analysis" in engineering), for example, is taught with many medical examples.

To Apply for this Program: click here

Prerequisite: You must have taken the equivalent of statistics.com's courses Introduction to Statistics 1, 2, and 3.

Estimated Core Course Tuition: $2394
Estimated Electives Course Tuition: $1116
Program Registration Fee: $395
Estimated Total Cost: $3905

The individual courses are payable as you register for each course or may be prepaid. Tuition and fees do not include the purchase of required course texts.


Core Courses (All required)

Forecasting
This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. The course will focus on Autoregressive (AR), Moving Average (MA), combined ARMA, and Box Jenkins type models.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010

Regression Analysis
In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
Tuition: $399 (5 CEUs)
Next dates available:
- October 08, 2010

Statistical Process Control
This course will will go beyond the basics of SPC and present some improved control chart methods, with better ways of determining control limits.
Tuition: $399 (5 CEUs)
Next dates available:
- January 14, 2011

Probability Distributions
This course cover statistical probability distributions. Participants will learn how to identify which distribution(s) reasonably fit given data, and to evaluate the fit.
Tuition: $399 (5 CEUs)
Next dates available:
- January 14, 2011

Introduction to Design of Experiments
This course will stress the application of DOE rather than statistical theory. With a 12-step checklist, it covers full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Teguchi designs.
Tuition: $399 (5 CEUs)
Next dates available:
- February 18, 2011

Engineering Statistics
The topics covered in this course include prediction intervals, tolerance intervals, calibration intervals, measurement error, accelerated life testing, measurement system appraisal, reliability and lifetime testing.
Tuition: $399 (5 CEUs)
Next dates available:
- May 27, 2011

Elective Courses (3 required)

Logistic Regression
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure.
Tuition: $399 (5 CEUs)
Next dates available:
- September 10, 2010

Survival Analysis
The course describes the various methods used for modeling and evaluating survival data, or time-to event data.
Tuition: $399 (5 CEUs)
Next dates available:
- September 24, 2010

Environmental Statistics
This course will introduce you to the statistical methods used in environmental analysis. Many of these methods would be covered in a standard course on statistics, but some of the topics that are covered here would not be included in such a course.
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010

Advanced Logistic Regression
After taking this course, participants will be able to specify, implement and interpret the output of a variety of advanced logistic regression models not covered in the first course, "Logistic Regression."
Tuition: $399 (5 CEUs)
Next dates available:
- October 15, 2010

Categorical Data - Applied Modeling
This course continues the analysis of categorical data, contains a review of logistic regression, and introduces multinomial responses for logistic regression, probit, logit and loglinear analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010

Spatial Statistics With Geographic Information Systems
Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010

Advanced Survival Analysis
This course focuses on the extension of the Cox proportional hazards model to (a) recurrent event survival analysis and (b) competing risks survival analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- November 12, 2010

Matrix Algebra Review
This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix.
Tuition: $299 (3.75 CEUs)
Next dates available:
- December 10, 2010

Multivariate Statistics
This course covers key multivariate procedures such as classification, clustering, principal components and factor analysis.
Tuition: $399 (5 CEUs)
Next dates available:
- February 18, 2011

Ecological and Environmental Sampling
This course covers sampling methods and analyses used to study of the density and abundance of animals and plants, and other important biological variables.
Tuition: $399 (5 CEUs)
Next dates available:
- February 25, 2011

Advanced Design of Experiments
The aim of the course is to present advanced and important concepts that have received very little attention, such as designs for irregular experimental regions and Analysis of Means (ANOM).
Tuition: $399 (5 CEUs)
Next dates available:
- April 08, 2011

Maximum Likelihood Estimation
This course will cover the derivation of maximum likelihood estimates, and their properties.
Tuition: $179 (2.5 CEUs)
Next dates available:
- To be Announced.