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Engineering & Business Modeling, Optimization, & Control

This program provides a collection of short courses on statistics, regression modeling, and optimization containing practicable techniques for comparing treatments, developing models, using models for process and product improvement, and analyzing and reporting uncertainty in decisions grounded in the data and models. These courses are designed to develop and improve essential data analysis skills for practicing engineers, engineering employees and students, new faculty, scientists and engineers.
OSU Student discount applicable. Call for pricing and registration.


 

Courses

  • Applied Probability and Statistical Methods
    Date Location Price
    2020 Feb 27 - 28 Stillwater, OK $559

    This two-day workshop provides a practical guide for statistical methods useful for engineering and business. Techniques include probability models, determining distribution metrics, confidence intervals, hypothesis testing, uncertainty analysis, and forecasting. Applications include regression, statistical process control, reliability, design of experiments, evolution of belief, and data presentation and reporting. Upon completion of this program, participants will be able to:

    • Evaluate data in terms of appropriate distribution and its metrics
    • Evaluate experimental results and compare treatments
    • Understand “reject” and “accept” and associated Type-I and Type-II errors
    • Assess and represent uncertainty in data and in modeling results
    • Choose appropriate statistical tests for the application attributes

    Presented By

    Registration

    Registration includes textbook, handouts, training materials and refreshments. Lunch is on your own.

    Bundle discount when you register for all three classes together: Only $1,425 per participant

    • Participants are recommended to bring their own laptop computer (with Excel 2010 or higher) to class.
    • They are recommended to download the free optimization software prior to attending class.

    OSU student discounted rate is $345 per class. The bundle price discount is not applicable for student discount. Students must call to register

  • Nonlinear Optimization: Techniques for Engineering
    Date Location Price
    2020 Aug 10 - 11 Stillwater, OK $559

    This two-day workshop will be a practical guide for those using multivariable, constraint handling, nonlinear optimization. Most exercises are for 2-dimensional applications for visual understanding of the surfaces and methods, but the methods and techniques are scalable to high dimension. Several N-D examples will be provided. Upon completion of this program, participants will be able to:

    • Define the objective function (cost function)
    • Incorporate constraints (either hard or appropriately weighted penalties)
    • Choose an appropriate optimizer for application attributes
    • Choose appropriate convergence criteria and thresholds
    • Choose initialization and number of trials to be confident in finding the global optimum

    Presented By

    Registration

    Registration includes textbook, handouts, training materials and refreshments. Lunch is on your own.

    Bundle discount when you register for all three classes together: Only $1,425 per participant

    • Participants are recommended to bring their own laptop computer (with Excel 2010 or higher) to class.
    • They are recommended to download the free optimization software prior to attending class.

    OSU student discounted rate is $345 per class. The bundle price discount is not applicable for student discount. Students must call to register

  • Nonlinear Regression Modeling
    Date Location Price
    2020 Aug 13 - 14 Stillwater, OK $559
     

    This two-day workshop provides a practical guide for nonlinear regression modeling, with a focus on developing both static and dynamic models. Techniques include the development of first-principles, empirical, dimensionless group, ARMA, FOPDT, neural network, and human linguistic models. Upon completion of this program, participants will be able to:

    • Choose appropriate concepts for defining the regression objective
    • Choose an optimization approach and criteria for convergence
    • Apply both data-based and logical criteria for model validation and model discrimination
    • Apply both batch and recursive model parameter evaluation
    • Design experiments for data generation that support model validation
    • Select an appropriate model design considering both order/complexity and in-use utility
    • Estimate model uncertainty based on data variability

    Presented By

    Registration

    Registration includes textbook, handouts, training materials and refreshments. Lunch is on your own.

    Bundle discount when you register for all three classes together: Only $1,425 per participant

    • Participants are recommended to bring their own laptop computer (with Excel 2010 or higher) to class.
    • They are recommended to download the free optimization software prior to attending class.

    OSU student discounted rate is $345 per class. The bundle price discount is not applicable for student discount. Students must call to register

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