2018 MATLAB Boot Camp
hosted by the Losert Lab and the UMD-NCI Partnership for Integrative Cancer Research
June 4th — June 10th, 2018
Application Deadline: Tuesday, May 1st, 2018
Introducing a new format! Read more below!
The Losert Lab and the NCI-UMD Partnership for Integrative Cancer Research hosts a week long annual MATLAB Boot Camp for students and researchers interested in a basic introduction to MATLAB image analysis, but who are coming from a limited programming and/or MATLAB background. The boot camp will provide an introduction to MATLAB with an emphasis on image processing and analysis. Beyond basic MATLAB functions and image analysis, students will learn developed algorithms such as object tracking, 2D and 3D segmentation, and applications of basic image processing functions, such as background subtraction. In later sessions, students will have the opportunity to work on their own projects by applying image analysis to their own data with the help of the researches from the Losert Lab.
"The content and pace were great! You guys were amazing! I'd definitely recommend this to anyone who wants to learn the basics of image processing and doesn't have much MATLAB experience!" —2015 Boot Camp Participant
Dates and Times:
Monday, June 4, 2018 — Friday, June 8, 2018
9:00 am — 5:00 pm
New! Saturday, June 9, 2018 — Sunday, June 10, 2018
New! 10:00 am — 3:00 pm
|Boot Camp Sessions:|
|Morning Sessions:||9:00 am — 12:10 pm||(Mon-Fri)|
|Afternoon Sessions I:||1:30 pm — 3:10 pm||(Mon-Fri)|
|Afternoon Session II:||3:35 pm — 5:00 pm||(Mon-Fri)|
|New! Data Analysis Session I:||10:00 am — 3:30 pm||(Saturday)|
|New! Data Analysis Session II:||10:00 am — 3:30 pm||(Sunday)|
|Coffee and Refreshments||8:30 am — 8:55 am||(Mon-Fri)|
|Break for Lunch||12:15 pm — 1:30 pm||(Mon-Sun)|
|Coffee and Refreshments||3:15 pm — 3:30 pm||(Mon-Sun)|
The Boot Camp is aimed at a wide range of professional and educational levels, from high school students to postdoctoral researchers, staff scientists, and PIs. While many participants are students and researchers from the University of Maryland, College Park, about one-third of participant have been scientists and researchers from the nearby National Institutes of Health.
"I really enjoyed having the TAs there to help answer any questions or address any issues, as well as the opportunity to meet other students and researchers that will use MATLAB for different purposes."—2017 Boot Camp Participant
Although students mostly come from physics, biology, chemistry, and related fields, their research is united by a need for automated image analysis. Many participants have also expressed excitement about applying their new programming skills to their everyday research:
Application & Registration
|University of Maryland, College Park||$250|
Registration fees must be paid by the first day of boot camp. Accepted applicants from the University of Maryland, College Park can pay the $250 registration fee via check, credit card, or account transfer;
additional information will be provided in the acceptance letters. Accepted external personnel can pay the $500 registration fee via check or credit card. Checks should be made out to the University of Maryland
and mailed to:
University of Maryland
Department of Physics
Attn: Stephanie Noel
Building 415, Room 1133
College Park, MD 20742
The 2018 MATLAB Boot Camp will be held on the University of Maryland, College Park campus. Further details will be released soon!
Accommodations, Parking, & Transportation
Non-UMD attendees who require the ability to park on campus will be provided with a parking code that can be used daily to park in the Regents Drive Garage; the location of which can be found on this map.
Instructions will be sent to non-UMD attendees the week before boot camp.
For those taking public transportation, the University of Maryland Department of Transportation Services (DOTS) website contains information on University Shuttle 104 (Schedule), which provides free service from the College Park Metro (Green Line) to the Stamp Student Union at the center of the campus.
In addition to the map provided above, TerpNav provides an interactive map of the University of Maryland campus.