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update syllabus
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tz33cu committed Sep 2, 2019
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* Section 1:

* Classes: Wednesdays 6:10pm-8:55pm, 310 Fayerweather
* Instructors: Ying Liu. <[email protected]> [(@yingliug)](https://github.com/yingliug)
* Instructor: Ying Liu. <[email protected]> [(@yingliug)](https://github.com/yingliug)
* Office hours: after class
* TA: Chengliang Tang. <[email protected]> [(@ChengliangTang)](http://github.com/ChengliangTang)
* Office hours: TBD

<!--- Mondays 6:00 pm to 8:00 pm on 10th Floor Lounge of SSW --->
* Section 2:
* Classes: Thursday 1:10pm-3:30pm, 428 Pupin
* Instructor: Tian Zheng <[email protected]> [(@tz33cu)](http://github.com/tz33cu)
* Office hours: [by appointments](https://calendar.google.com/calendar/selfsched?sstoken=UUo1bW81UTl1d0R3fGRlZmF1bHR8NDY4MGFmNDcxMTJiMDJkN2RkZWYxMzBhOWFhMGU5NmY) and by annoouncements.
* TA: Diane Lu. <[email protected]> [(@mathdiane)](http://github.com/mathdiane)
* Office hours: TBD

<!--- Mondays 6:00 pm to 8:00 pm on 10th Floor Lounge of SSW --->

* Course websites (all accessible via courseworks or github):
* Grades and basic course info on **Courseworks**: <http://courseworks.columbia.edu>
* Discussion board on **Piazza**:
* Section 1 (YL)
* Section 2 (TZ) <http://piazza.com/columbia/fall2019/adsfall2019applieddatasciencesec2/home>
* Course materials and repositories on **GitHub**: <http://tzstatsads.github.io>
* Course websites (all accessible via courseworks or github):
* Grades and basic course info on **Courseworks**: <http://courseworks.columbia.edu>
* Discussion board on **Piazza**:
* Section 1 (YL)
* Section 2 (TZ) <http://piazza.com/columbia/fall2019/adsfall2019applieddatasciencesec2/home>
* Course materials and repositories on **GitHub**: <http://tzstatsads.github.io>

#### 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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