Walk-In Schedule

About

Statistical Consulting Services (SCS) is pleased offer a free walk-in consulting service. We provide immediate, in person consulting for quick questions about grant proposals, journal articles, PhD. Dissertations, M.S. Theses, and undergraduate research projects.

Hours

The walk-in hours are active during the semester, from Monday, August 26th, 2019 an ending on Friday, December 6th, 2019. Walk-in hours are held in AUST 303, and the online submission form is available at: https://stat.uconn.edu/ask-online/.

Who can use this service?

This service is available to all UConn undergraduate and graduate students, postdocs, research fellows, and faculty members. We have expertise in statistical software, study design, statistical methodology, data analysis and visualization, and reporting of results.

Please Note: this assistance is not intended for homework and is more geared to data analysis rather than specific statistical software usage.

Larger questions and projects that are deemed too big for a walk-in consultation may be referred for more comprehensive, ongoing consulting available at: https://stat.uconn.edu/project-engagement/

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Walk-in hours (August 26 – December 6, Fall 2019)


SCS Walk-In Service Hours

August 26 – December 6, 2019
Fall 2019
Philip E. Austin (AUST) Building (Former CLAS)
Room 303

Weekday Time of Day Consultant Topics and Software covered
Monday 12:00pm – 2:00pm Renjie Chen Time Series Analysis, Feature Engineering, Experimental Design, Statistical Analysis; R, Python
Tuesday 11:30am – 1:30pm Shuang Yin Bayesian Analysis, GLMs on Count Data, Unsupervised Clustering; R, Python, SAS
Wednesday 12:00pm – 2:00pm Xiaomeng Li Bayesian Analysis, GLMs on Count Data, Gaussian Processes; R, Python, SAS, SPSS
Thursday 12:00pm – 2:00pm Jinjian Mu Bayesian Analysis, Spatial Statistics, Clinical Trials, Public Health Applications; R, Matlab
Friday 12:00pm – 2:00pm Joochul Lee Regression Analysis, Power and Sample Size Calculation, Data Visualization, Longitudinal Data, Subsampling Methods; R, SAS, SPSS

For downloadable pdf version of schedule, please go to SCS Walk-In Service Hours for Fall 2019

Where We Are:

Philip E. Austin Building (Former CLAS)
Room 303

 

For more information, please contact Dr. Timothy E. Moore (timothy.e.moore@uconn.edu)


* SCS is jointly funded by Office of the Vice President for Research (OVPR), Dean’s Offices of CLAS and CAHNR, and Department of Statistics, UCONN

** Additionally, we provide comprehensive, ongoing consulting services. For this, please apply online at https://stat.uconn.edu/project-engagement/.

*** Walk-in services are not available during Thanksgiving Recess (November 25 – 29, 2019).