SCS Capabilities — Applied Modeling and Simulation Training Curriculum
Essential Modeling and Data Methodologies
Model Qualification and Sensitivity Analysis
(1 day course, computer-based lab)
This course illustrates techniques to verify model robustness and suitability
for specific simulation problems. Participants learn methods to understand
and illustrate how model parameters influence expected model outcomes,
and how to set appropriate bounds on model application given the model
assumptions and uncertainty.
Mixed Effects Modeling
(2 day course, computer-based lab)
This course develops fundamental skills required for mixed effects population
modeling, including problem statement, theory, concepts, methods to specify
variance models, methods for building and qualifying models, and the incorporation
of fixed covariates effects into models. Principles are illustrated using
WinNonMix®.
S-PLUS® Fundamentals
(1 day course, computer-based lab)
This course covers the use of S-PLUS for different data types, file structures,
statistical analyses, and data display. Participants are introduced to
S-PLUS command line language and data manipulation using S-PLUS.
Exploratory Data Analysis
(1 day course, computer-based lab)
This course illustrates techniques for initial examination of various
data types, analyses, displays, and diagnostics before modeling. The course
relies heavily on S-PLUS skills learned in the 'S-PLUS Fundamentals' course
and further develops these skills.