DSA 5300 - Analytical Methods & Optimization

Credit Hours: 3

This course is an introduction to core quantitative methods for decision making. The course will cover optimization methods, Monte Carlo analysis, decision analysis, and methods to evaluate decisions ex post. The course will also introduce students to various scientific computing languages used in these tasks such as python/numphy/scipy, SAS, R, Julia, and Stata among others. An integral part of this course is the application of database knowledge learned in the prior courses in the program. All data in this course will be stored in an appropriate relational (SQL) or document oriented (NoSQL) database. Students will then query the database for the data they will use in their analyses.