Courses of Study 2018-2019 
    
    Feb 02, 2023  
Courses of Study 2018-2019 [ARCHIVED CATALOG]

Add to Favorites (opens a new window)

ORIE 3120 - Practical Tools for Operations Research, Machine Learning and Data Science


     
Spring. 4 credits. Student option grading.

Prerequisite: ENGRD 2700  (may be take concurrently).

Staff.

The practical use of software tools and mathematical methods from operations research, machine learning, statistics and data science. Software tools include structured query language (SQL), geographical information systems (GIS), Excel and Visual Basic programming (VBA), and programming in a scripting language (either R or Python). Operations research methods include inventory management, discrete event simulation, and an introduction to the analysis of queuing systems. Machine learning and statistical methods include multiple linear regression, classification, logistic regression, clustering, time-series forecasting, and the design and analysis of A/B tests. These topics will be presented in the context of business applications from transportation, manufacturing, retail, and e-commerce.



Add to Favorites (opens a new window)