Course Schedule and Lecture Notes
Lecture notes will be posted here at the day of class. The lecture schedule is subject to minor revisions.
Date | Topic | Due Dates |
Jan 19 | Intro and prosal writing (Sebastian) | |
Fri, Jan 26 | (canceled) | |
Mon, Feb 5 | Your proposals | |
Fri, Feb 9 | reviewing/feedback | |
Thu, Feb 15 | Your 5 proposal reviews | |
Fri, Feb 16 | proposal presentation 1 (2 hours) Rayid Ghani Deepay Chakrabarti Anna Goldenberg Ricardo Silva |
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Fri, Feb 23 | proposal presentation 2 (3 hours) Jerry Zhu Rande Shern Introduction to CALD/KDD Software Rayid Ghani Elena Eneva |
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Fri, March 2 | proposal presentation 3 (3 hours) Jamie Schulte Lucian Lita Tianjiao Chu Sebastian: Evaluating Machine Learning Research: Slides in Postscript, gzipped and Slides in Powerpoint |
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Fri, March 9 | (mid-semester break) | |
Fri, March 16 |
Elena Eneva Marc Fasnacht Pu Huang Jie Yao | |
Fri, March 23 |
Zhiqiang Bi Peng Jia Daniel Wilson Bradley Malin |
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Fri, March 30 | (spring break) | |
Fri, April 6 | writing papers (Sebastian), also available as powerpoint file | |
Fri, April 13 | individual meetings | |
Fri, April 20 | research presentations 2 (3 hours) Deepay Chakrabarti Jerry Zhu Elena Eneva Bradley Malin Pu Huang |
all research papers (instructions forthcoming) |
Fri, April 27 | research presentations 3 (3 hours)
Anna Goldenberg Rayid Ghani Zhiqiang Bi Jamie Schulte Ricardo Silva Lucian Lita |
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Fri, May 4 | research presentations 1 (4 hours)
Tianjiao Chu Peng Jia Rande Shern Jie Yao Marc Fasnacht Daniel Wilson |