Statistics Learning Center
The following days have special availability: | ||
October 5th | Open 2PM - 6PM | |
October 24th-25th | Closed, Fall Break | |
November 9th | Open 2PM - 6PM | |
November 23rd-27th | Closed, Thanksgiving Break |
SLC COURSES & HOURS:
STT200, STT201, STT231, STT315, STT351, STT380, STT421, STT422, STT430, STT441 & STT442:
For Zoom details, see below | ||
Days | Times | Venue |
SUN: | 2:00PM - 8:00PM | Zoom |
MON: | 2:00PM - 8:00PM | A102 Wells |
TUE: | 2:00PM - 8:00PM | A102 Wells |
WED: | 2:00PM - 8:00PM | A102 Wells |
THU: | 2:00PM - 8:00PM | A102 Wells |
FRI: | 2:00PM - 8:00PM | Zoom |
SAT: | CLOSED |
Depending on the number of students using the helproom, you may not be helped immediately, 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.
STT Instructor Dola Pathak, Phd., was awarded the 2022 College of Natural Science Faculty Teaching Prize in November. Each year, CNS recognizes teaching excellence by awarding the Faculty Teaching Prize to select fixed-term and tenure-system faculty. She was nominated by STT Associate Chair, Dr. Vince Melfi.
Complicated sets of biological data can be challenging to extrapolate meaningful information from. Wanting to find a better way to look at this data led Berkley Walker, assistant professor at the MSU-DOE Plant Research Laboratory (PRL) and the Department of Plant Biology, to team up with statistician and Assistant Professor Chih-Li Sung from the Department of Statistics and Probability.
Arkaprabha Ganguli, STT PhD candidate, received a 2022 IMS International Conference on Statistics and Data Science student travel award to present his work “Feature selection integrated deep learning for ultrahigh dimensional and highly correlated feature space.” In recognition of this award, his name appeared in the first page of the 2022 October/November issue of the IMS Bulletin https://imstat.org/wp-content/uploads/2022/07/Bulletin51_7.pdf .
Congratulations to PhD candidate Sarah Manski for winning first place for her oral presentation at the 2022 Conference on Applied Statistics in Agriculture and Natural Resources in May at Utah State University in Logan, Utah.