Skip to main content
Skip to main menu Skip to spotlight region Skip to secondary region Skip to UGA region Skip to Tertiary region Skip to Quaternary region Skip to unit footer

Slideshow

CSCI 4170/6170

Introduction to Computational Investing

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.

Not offered on a regular basis.

Credit Hours:
4
Prerequisites:
CSCI 1730
Prerequisite or Corequisite:
CSCI 2720

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.