Class Schedule Listing |
Summer 2022
Sep 24, 2023 |
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 | Click the title of the course to view available seats, restrictions, etc. Calendars and general registration information are located at www.registrar.gatech.edu. Please note the Schedule of Classes is subject to change. Continue to monitor the course offerings and your registration status in OSCAR, and consult with your advisor if needed. |
| Machine Learning for Trading - 54456 - CS 7646 - O01 | ||||||||||||||
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Section Info:
Online Campus Only.
Receive credit for only one of: CS 7646, CS 4646,
CS 4803 MLT
Course Info:
Introduces machine learning based trading strategies.
Topics: Information processing, probabilistic analysis,
portfolio construction, generation of market orders, KNN,
random forests. Credit not awarded for both CS 4646 and CS
7646
Associated Term: Summer 2022 Registration Dates: Mar 11, 2022 to May 20, 2022 Levels: Graduate Semester, Undergraduate Semester Online Campus Lecture* Schedule Type Fully at a Distance (BOR) Instructional Method 3.000 Credits Grade Basis: L Syllabus Available View Catalog Entry
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| Machine Learning for Trading - 55977 - CS 7646 - O3 | ||||||||||||||
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Associated Term: Summer 2022
Registration Dates: Mar 11, 2022 to May 20, 2022 Levels: Graduate Semester, Undergraduate Semester GT Lorraine-Graduate Programs Campus Lecture* Schedule Type 3.000 Credits Grade Basis: L Syllabus Available View Catalog Entry
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| Machine Learning for Trading - 56472 - CS 7646 - OAN | ||||||||||||||
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Associated Term: Summer 2022
Registration Dates: Mar 11, 2022 to May 20, 2022 Levels: Graduate Semester, Undergraduate Semester Online Campus Lecture* Schedule Type Fully at a Distance (BOR) Instructional Method 3.000 Credits Grade Basis: L Syllabus Available View Catalog Entry
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| Machine Learning for Trading - 57514 - CS 7646 - OSZ | ||||||||||||||
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GT-Shenzhen Graduate Program.
Associated Term: Summer 2022 Registration Dates: Mar 14, 2022 to May 20, 2022 Levels: Graduate Semester, Undergraduate Semester Georgia Tech - Shenzhen Campus Lecture* Schedule Type 3.000 Credits Grade Basis: L Syllabus Available View Catalog Entry
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