Difference between revisions of "CS7646 Fall 2017"
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'''Projects''' | '''Projects''' | ||
| − | * [[http://quantsoftware.gatech.edu/assess_portfolio | + | * [[http://quantsoftware.gatech.edu/assess_portfolio assess_portfolio]] 2.5% (easy) |
* [[http://quantsoftware.gatech.edu/optimize_something optimize_something]] 2.5% (easy) | * [[http://quantsoftware.gatech.edu/optimize_something optimize_something]] 2.5% (easy) | ||
* [[http://quantsoftware.gatech.edu/marketsim marketsim]] 10% (moderate) | * [[http://quantsoftware.gatech.edu/marketsim marketsim]] 10% (moderate) | ||
| Line 21: | Line 21: | ||
* [[http://quantsoftware.gatech.edu/assess_learners assess_learners]] 15% (challenging) | * [[http://quantsoftware.gatech.edu/assess_learners assess_learners]] 15% (challenging) | ||
* [[http://quantsoftware.gatech.edu/qlearning_robot qlearning_robot]] 10% (moderate) | * [[http://quantsoftware.gatech.edu/qlearning_robot qlearning_robot]] 10% (moderate) | ||
| − | * [[http://quantsoftware.gatech.edu/manual_strategy manual_strategy]] | + | * [[http://quantsoftware.gatech.edu/manual_strategy manual_strategy]] 11% (moderate) |
| − | * [[http://quantsoftware.gatech.edu/strategy_learner strategy_learner]] | + | * [[http://quantsoftware.gatech.edu/strategy_learner strategy_learner]] 16% (very challenging) |
'''Exams''' | '''Exams''' | ||
| Line 31: | Line 31: | ||
* [[Exam 2 Study Guide]] | * [[Exam 2 Study Guide]] | ||
| − | '''Exam contributions ( | + | '''Exam contributions (0%)''' |
| − | * | + | * This component has been removed for this semester. The points have been redistributed to other assignments. |
'''Class participation (3%)''' | '''Class participation (3%)''' | ||
* Class participation is determined by pop quizzes and activity on reddit. | * Class participation is determined by pop quizzes and activity on reddit. | ||
| + | |||
| + | '''Extra Credit (Up to 2%)''' | ||
| + | * [[2017 Extra Credit]] | ||
==Thresholds== | ==Thresholds== | ||
| Line 46: | Line 49: | ||
These are hard boundaries (we round down). | These are hard boundaries (we round down). | ||
| + | |||
| + | [[https://docs.google.com/document/d/1_pZj99PKcMcCCsLb9dsvSFE9L6vjN96ZOXUVcLHIeJM/edit?usp=sharing]] | ||
Latest revision as of 18:14, 2 January 2018
Contents
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 & Forum
- Schedule: [sheets.google.com]
- Forum: [Class forum at Reddit.com]
Assignments & Grading
Projects
- [assess_portfolio] 2.5% (easy)
- [optimize_something] 2.5% (easy)
- [marketsim] 10% (moderate)
- [defeat_learners] 5% (easy)
- [assess_learners] 15% (challenging)
- [qlearning_robot] 10% (moderate)
- [manual_strategy] 11% (moderate)
- [strategy_learner] 16% (very challenging)
Exams
- Exam 1: Paper exam on campus, via proctortrack for online students 12.5%
- Exam 2: Paper exam on campus, vis proctortrack for online students 12.5%
Exam contributions (0%)
- This component has been removed for this semester. The points have been redistributed to other assignments.
Class participation (3%)
- Class participation is determined by pop quizzes and activity on reddit.
Extra Credit (Up to 2%)
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).
[[1]]
