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This cookie is used to display dynamic phone numbers online based on the traffic source of the visitor for analytics.
These cookies are set through our site by our analytic and marketing partners. They may be used by those companies to build a profile of your interests so we can provide the best possible user experience for you through our website and marketing campaigns. They work by uniquely identifying your browser, operating system, IP and location.
Cookies usedGoogle Tag Manager
By default, our tag manager code is set up to track page views using the Google's IP Anonymization feature turned on. Also, all the cookies that are set up from Google by default, are set up to expire after the browsing session ends. Turning on this cookie type, will tell Google that the full IP can be used to track your behavior on our website.
_tgmanonymous
If set to 1, will tell google that it can track the full IP and it will set up it's cookies to expire in 365 days, not 0 days as set up by default.
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Conversion linker cookie which persists Google Ads information in a first party cookie when the user lands on the site from an ad.
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When the Facebook pixel is installed on a website, and the pixel uses first-party cookies, the pixel automatically saves a unique identifier to an _fbp cookie for the website domain if one does not already exist.
_fbc
When a user clicks on an ad on Facebook, the link sometimes includes a fbclid query parameter. When the user lands on the target website, if the website has a Facebook pixel that uses first-party cookies, the pixel automatically saves the fbclid query parameter to an _fbc cookie for that website domain.
The LinkedIn Insight Tag is a piece of lightweight JavaScript code that you can add to your website to enable in-depth campaign reporting and unlock valuable insights about your website visitors.
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Rebecca Fang
Associate Professor - Dept of Mathematics, Computer Science, and Data Science
Phone Number
Location
Dolan Science Center E249
Employee Type
Faculty
Office Hours
Monday
9:00 - 12:30 p.m.
Tuesday
9:00 - 9:25 a.m. & 12:30 - 2:30 p.m.
Research Interests
My research interests include applied statistics, statistical genetics, and statistics education.
Teaching Interests
Elementary Statistics Introductory Data Science Applications in Statistics Statistical Modeling.
Courses for Fall 2022
-
DATA 122-53 Elementary Statistics
-
DATA 424-51 Applied Regression Analysis
Awards and Honors
- I have been MAA Project NExT fellow since 2015.
Selected Publications
- “Data-Driven: A flexible, accessible, multidisciplinary superhighway breaking disparities and opening the data analytics economy to everyone”, (NSF - 1820766), implementation partner (2018-2023)
- “Molding Identity & Raising Retention through Opportunities for Reflection in STEM (MIRRORS)”, (NSF - 1741814), co-PI (2018-2023)
- “Collaborative Research: Reducing Student Resistance to Active Learning: Applying Research Results to Faculty Development”, (NSF – 1821488), implementation partner (2018-2022)
- “Interactive Project-Based Elementary Statistics Learning”, Summer Teaching Fellowship (JCU), PI (2019)
Degrees
- Ph.D. in Mathematical Science at Michigan Technological University in 2013
-
MS in Finance, Jilin University, China