Statistics Learning Center
AND FROM 7/5 TO 8/17 FOR SUMMER B
The SLC is closed for STT200 on Exam days
STT200, STT201, STT231, STT315, STT351, STT380, STT421, STT422, STT430, STT441 & STT442:
For Zoom details, see below | ||
2:00PM - 5:00PM | 5:00PM - 8:00PM | |
SUN: | A102 Wells and Zoom | Zoom Only |
MON: | Zoom Only | Zoom Only |
TUE: | Zoom Only | Zoom Only |
WED: | Zoom Only | Zoom Only |
THU: | A102 Wells and Zoom | Zoom Only |
FRI: | A102 Wells and Zoom | Zoom Only |
SAT: | CLOSED |
There is only one tutor present at all times, so please be patient.
ALL TIMES ARE EASTERN TIME ZONE (ET)
We recommend you download and install the Zoom client to have the best experience.
Then, click on this link:
https://msu.zoom.us/j/91029294809
or join the meeting using the meeting ID: 910-2929-4809.
The password is: 872020
• When you first join the room, you will enter a waiting room. This will allow the room's moderator to keep track of the order in which students come to the SLC. Please be patient.
• A moderator will allow you access to the room, and then move you to a break out room with a tutor as soon as one is available.
Yuehua Cui, Professor and Director of Graduate Programs in the Department of Statistics and Probability (STT), has been named an elected Fellow of the American Statistical Association (ASA).
Huan Lei, assistant professor in the Department of Statistics and Probability (STT) is among five Michigan State University (MSU) researchers from the College of Natural Science (NatSci) who have received NSF Early CAREER Faculty Awards. Their cutting-edge research pushes the limits of science, while their devotion to education is preparing the next generation of scientists to propel their field even further. Collectively, over the next five years (2022-2027) they will receive more than $3.7 million in National Science Foundation (NSF) funding.
Sikta Das Adhikari, in her third year with the STT PhD program, was awarded an IMPACTS fellowship for the 2021-2022 academic year. Integrated training Model in Plant And Compu-Tational Sciences (IMPACTS) is an NSF-funded program for training doctoral students to employ advanced computational/data science approaches to address grand challenges in plant biology.