Difference between revisions of "CS7646 Fall 2017"
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==Schedule== | ==Schedule== | ||
| − | * [[https://docs.google.com/spreadsheets/d/1YOqAQ6S5KZw7rQEj6PNV248myLNz7RzKnmTEHTuwi5c/pubhtml?gid=0&single=true]] | + | * [[https://docs.google.com/spreadsheets/d/1YOqAQ6S5KZw7rQEj6PNV248myLNz7RzKnmTEHTuwi5c/pubhtml?gid=0&single=true sheets.google.com]] |
| + | * [[https://www.reddit.com/r/cs7646_fall2017/ Class forum at Reddit.com]] | ||
==Assignments & Grading== | ==Assignments & Grading== | ||
Revision as of 11:49, 24 August 2017
Overview
You are on the page for information specific to the Fall 2017 session of this course. Go here (Machine_Learning_for_Trading_Course) for overall course policies.
OMSCS & On-Campus Information
This course is taught simultaneously on campus and via Udacity as part of the OMSCS program.
Schedule
Assignments & Grading
Projects
- [Assess portfolio] 5% (easy)
- [Optimize something] 5% (easy)
- [Build a market simulator]
- [Defeat learners]
- [Assess learners]
- [Q-Learning Robot]
- [Manual trading strategy]
- [Learning trading strategy]
Exams
- Midterm Study Guide
- Exam 2 Study Guide
- Exam 1
- Exam 2
Class participation (3%)
- Class participation is determined by pop quizzes and activity on reddit.
Thresholds
- A: 90% and above
- B: 80% and above
- C: 70% and above
- D: 60% and above
- F: below 60%
These are hard boundaries (we round down).
