Fall 2015 Computer Science 458 10/28/15

Announcements

Office hours. Ronghui Gu is holding office hours at 305 AKW.
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Wednesday 2-4 pm.
Thursday 7-9 pm.
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Kun Run has office hours at 203 AWK.
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Monday 7-9 pm
Friday 10am - 12pm
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Today's Guest Speaker is Aaron Brown from AQR Capital. There will be dinner at Mory's afterwards. Here are the students and alternates.
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9 Franklin Zhu
12 Paul Luo 
10 Shane Kim
1 Xinyu Weng
15 Ed Tuckman

Alternates:
5 Fang Fang
14 Cesar Mocan
2 Wen Sheng
4 Joyce Xu
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Next Monday's Guest Speaker will be Paul Gu from Upstart. There will be dinner at Mory's afterwards. Here are the students and alternates.
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5 Wei Sheng
15 Steven MacLean
6 Kevin Tan
2 Charles Chen 
11 Chris Datsikas

Alternates:
4 Rachel Ha
9 Stephen Hemenway
7 William Bailey
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Feedback

I received the following from Dean Holloway:

With midterm approaching, I encourage you to consider asking students in your classes for their anonymous feedback. Students can often suggest small adjustments that have a significant effect on teaching and learning, and asking for these suggestions is simple and confidential. It is also optional.
The tool to use, "Midterm Feedback," is now active in every class's Classes*v2 site, and you can find more information about using it here. The tool provides a text box where students can reply to questions you distribute in class or by email. The results are only viewable by you as instructor. Areas of feedback might include students' learning experience or general suggestions for improvements. If you'd like to see some sample questions, click here.

I invite you to use this method to comment on the course. Questions you might address include:

What helps your learning in this course?
What hinders your learning in this course?
What suggestions do you have for improvement?

Mid Term Exam

There will be a make-up midterm on Friday October 30th, from 4 - 5:30pm in Davies Auditoreum. It will have the same format as the first midterm. The questions will be different - except for the last one about the final project.

hw3: Algorithmic Trading: Momentum Strategy

See hw3.

Discussion

See R package: stockPortfolio
Example code
Modern Portfolio Theory Continue with Efficient Market Hypothesis.
Answers to exercies have been posted.
Cognitive Models of Decision Making: VOTE

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