This course emphasizes analytical techniques and concepts that results in broadly applicable solutions to business problems. The course introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, we will cover computational methods for solving decision problems with model uncertainty and imperfect state information. Students will develop data-driven predictive models when faced with uncertainty in business. Presents an advanced course in the application of statistical methods to business problems. Statistics provide techniques for interpreting data, permitting managers to use information to answer larger questions. We will be focusing on topics such as Regression, Time Series Analysis, and Forecasting. Extensive lab work using computer software will lead to theoretical solutions. Students will interpret and apply these solutions as a guide to practical management action.
Acceptance into the Bachelor of Business Administration Degree program.
Below is one offering of this course for the Fall 2021 term.
Tue Sep 07 - Sat Dec 18 15 Weeks
|Sep 07 - Dec 11||Online|
|Dec 18||Sat||09:00 - 12:00||Online SE12 Rm. 321|
|Dec 18||Sat||09:00 - 12:00||Online SE12 Rm. 322|
This course offering is in progress and full. Please check back next term or subscribe to receive email updates.
In Progress and Full
Upon successful completion of this course, the student will be able to:
Effective as of Winter 2022
BABI 8800 is offered as a part of the following programs:
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