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Update syllabus with dates of Fall 2020
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| #### Course Information | ||
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| * Classes: Wednesdays 6:10pm-8:55pm, 310 Fayerweather | ||
| * Classes: Wednesdays 6:10pm-8:55pm, online via Zoom (can join through coursework "Zoom Class Sessions") | ||
| * Instructor: Ying Liu. <[email protected]> [(@yingliug)](https://github.com/yingliug) | ||
| * Office hours: after class | ||
| * TA: Diane Lu. <[email protected]> [(@mathdiane)](http://github.com/mathdiane) | ||
| <!--- * Office hours: Mondays 6:00 pm to 8:00 pm on 10th Floor Lounge of SSW ---> | ||
| * Office hours: Mondays 8:30 am to 10:30 am via Zoom (can join through coursework "Zoom Class Sessions") | ||
| <!--- * Office hours: Mondays 8:30 am to 10:30 am via Zoom (can join through coursework "Zoom Class Sessions") ---> | ||
| * Office hours: ??? via Zoom (can join through coursework "Zoom Class Sessions") | ||
| * Contact preference: through Piazza | ||
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| * Course websites (all accessible via courseworks or github): | ||
| * Grades and basic course info on **Courseworks**: <http://courseworks2.columbia.edu> | ||
| * Discussion board on **Piazza**: <https://piazza.com/class/k56u7t3axmpj5> | ||
| * Course materials and repositories on **GitHub**: <http://tzstatsads.github.io> | ||
| * Discussion board on **Piazza**: <???> | ||
| * Course materials and repositories on **GitHub**: <http://tzstatsads.github.io> or <https://github.com/TZstatsADS/ADS_Teaching> | ||
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| #### Prerequisites | ||
| The pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior **advanced** programming experience in R or Python is required. | ||
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@@ -47,23 +49,22 @@ We will have a total of five project cycles for this course (topics are subject | |
| 4. Algorithms implementation, evaluation, and reproducibility challenge. | ||
| 5. [optional] *Free topic*. | ||
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| Below is a tentative schedule for Spring 2020 we will follow. | ||
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| + Week 1 (Jan 22): 1a+1b | ||
| + Week 2 (Jan 29): 1c | ||
| + Week 3 (Feb 5): 1d+2a | ||
| + Week 4 (Feb 12): 2b+2c | ||
| + Week 5 (Feb 19): 2c | ||
| + Week 6 (Feb 26): 2d+3a | ||
| + Week 7 (Mar 4): 3b+3c | ||
| + Week 8 (Mar 11): 3b+3c | ||
| + Spring Break | ||
| + Week 9 (Mar 25): 3d+4a | ||
| + Week 10 (Apr 1): 4b+4c | ||
| + Week 11 (Apr 8): 4b+4c | ||
| + Week 12 (Apr 15): 4d+5c | ||
| + Week 13 (Apr 22): 5c | ||
| + Week 14 (Apr 29): 5d | ||
| Below is a tentative schedule for Fall 2020 we will follow. | ||
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| + Week 1 (Sep 9): 1a+1b | ||
| + Week 2 (Sep 16): 1c | ||
| + Week 3 (Sep 23): 1d+2a | ||
| + Week 4 (Sep 30): 2b+2c | ||
| + Week 5 (Oct 7): 2c | ||
| + Week 6 (Oct 14): 2d+3a | ||
| + Week 7 (Oct 21): 3b+3c | ||
| + Week 8 (Oct 28): 3b+3c | ||
| + Week 9 (Nov 4): 3d+4a | ||
| + Week 10 (Nov 11): 4b+4c | ||
| + Week 11 (Nov 18): 4b+4c | ||
| + Thanksgiving break | ||
| + Week 12 (Dec 2): 4d+5c | ||
| + Week 13 (Dec 9): 5d | ||
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| #### Evaluation | ||
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