Thursday May 29 | Friday May 30 | Saturday May 31
The Department of Mathematics, Statistics Program at the University of Maryland is delighted to announce the inaugural Maryland Summer School in Statistics and Machine Learning, scheduled for May 29 to 31, 2025. This exciting event will offer a diverse range of captivating short courses throughout the 3 days, covering contemporary topics in statistics and machine learning with a variety of levels. The topics covered include the fundamental principles of deep learning, network analysis, topological data analysis, random matrix theory, small area estimation, causal inference, and health data analysis, among others. Each participant is expected to sign up for one course, which will be taught over a 3-day period. For all 6 courses we’re offering, please check out each proposal for the 3-day breakdown. Courses will run in the mornings or the afternoons over the 3-day period.
While the courses will be taught in person, participants can also attend virtually via Zoom.
Please find the list of courses and their respective instructors below, along with the registration link. The registration fee is $600 for in-person participants and $400 for virtual participants. Each course carries a fee. Participants will need to pay for each course they sign up for. For example, two courses in-person would be $1200.
Registration and Payment
Registrants Currently in United States : To register for the course, please fill out the following registration form. After you register, you will automatically receive a payment link. All courses are $600.00 for in-person attendance and $400.00 for virtual attendance. Each course carries a fee. Participants will need to pay for each course they sign up for. For example, two courses in-person would be $1200.
International Registrants: To register for the course, please fill out the following registration form. After you register, you will automatically receive a payment link. All courses are $600.00 for in-person attendance and $400.00 for virtual attendance.
REGISTRATION FOR ALL COURSES WILL CLOSE TWO BUSINESS DAYS PRIOR TO THE CLASS START DATE.
Cancellation
A course can be cancelled due to low enrollment/registration. It will be cancelled two (2) business days prior to the start date. In the event a course is cancelled, participants will be notified and 1) offered a refund or 2) offered a seat in courses that are being held.
Inquiries
| Course Description | Instructor | Dates and Times | Room Location |
| Data Representation for Machine Learning | Radu Balan |
This course will run on Thursday, May 29 and Friday, May 30. It will not run Saturday, May 31 |
Kirwan Hall Room 1310 |
| Statistical Foundations of Deep Neural Network Models | Lizhen Lin | This course will run on Thursday, May 29, Friday, May 30 and Saturday, May 31. 9:30am to 12:00pm |
Kirwan Hall Room 1310 |
| Introduction to Statistical Network Analysis | Vince Lyzinski |
This course will run on Thursday, May 29 and Friday, May 30. It will not run Saturday, May 31 |
Kirwan Hall 3206 |
| Introduction to Statistical Learning Methods with Applications to Big Data Analysis in Healthcare | Tianzhou Ma | This course will run on Thursday, May 29, Friday, May 30 and Saturday, May 31. 9:30am to 12:00pm |
Kirwan Hall 2316 |
| Introduction to Probabilistic Machine Learning | Yun Yang | This course will run on Thursday, May 29, Friday, May 30 and Saturday, May 31. 2:00pm to 4:30pm |
Kirwan Hall 2316 |
