Adaptive Trading Technologies

School of Computer Science (17-814)
Instructor: Norman M. Sadeh

Target Audience and Prerequisites

This course is intended for students interested in gaining hands-on understanding of automated trading technologies. The course is primarily intended for graduate students, though it is open to particularly strong seniors and juniors in computer science. Minimally, students are expected to have taken 15-211 (Fundamental Algorithms and Data Structures) and 15-251 (Great Theoretical Ideas in Computer Science – I) or equivalent courses. They are also expected to be proficient in Java and have had courses in probability theory and statistics. Prior exposure to advanced search techniques, learning techniques and/or game theory is a plus but is not required.