Introduction to Computational Investing

Credit Hours: 4

An introduction to implementing computational-based trading strategies from information gathering to market ordering and trading, including probabilistic machine-learning approaches to situational analysis and to trading decisions. We consider approaches like linear regression, decision trees, K nearest neighbors, and reinforcement learning and apply them to real- world trading.

Prerequisites: http://www.bulletin.uga.edu/CoursesHome.aspx

Level: 
Undergraduate
Graduate