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 Level: Graduate Undergraduate
