Machine Learning Summer Day Camp 2019

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June 17-28

 

Interested in machine learning? 

 

The machine learning and artificial intelligence workshop aims to engage high school students in the exciting and growing field of machine learning.

During the camp you will learn about cutting-edge technologies and will work on hands-on computer projects. You will use the Python programming language to analyze financial, social network, and other data that can be found around us on a daily basis. A lot of time will be spent working in the computer lab, applying Machine Learning algorithms introduced by camp instructors to projects of your choice. Each day will be rounded out with guest speakers from local companies.

This is a unique opportunity to connect with other high school students who share the same interests, and learn cool programming and math techniques that make a difference in the world. All this news about Facebook and privacy? Jail sentences suggested by algorithms? That is all about machine learning -- and you need to understand what they’re talking about to join the conversation!

You will get to spend time on the beautiful University of Minnesota campus, getting to know staff, faculty, and undergraduates, as well as learning from and talking with experts from local companies.

The program will have two sessions:
  • June 17-21 for girls
  • June 24-28 for all

The camp will run from 9 am to 4pm. Students will need their own transportation to and from campus.

Eligibility: 

  • You should be entering 11th or 12th grade. 
  • You have to be interested in exploring the area of machine learning!

Cost:

  • Thanks to the generosity of the sponsors listed above, we are able to offer the <run>:\the\world Machine Learning camp at a low fee of $75, charged upon confirmation of admission.  
  • A fee waiver is available upon request.
  • Computers, materials, lunch and snacks will be provided to students.

Application: 

  • Fill out the application form here: Machine Learning Camp Application Form
  • Preference will be given to applications received by May 10, 2019.
  • Students selected to participate in the program will be notified by May 14, 2019. 
  • Rolling admissions -- application by May 17 preferred! 

Questions about the program or application? Please contact Robin Dixon at rdixon@umn.edu.

Location:

Classes will take place at the University of Minnesota – Minneapolis campus, East Bank.  This area is served by the Green Line and Metro Transit bus routes 2 and 3 and other express routes.

 

(Why a camp for girls and a co-ed camp? Women have been underrepresented in computer science since the 1990s, and a girl-focused camp is an opportunity to explore computer science and mathematics while reducing the effects of implicit bias. We strive to create an open and welcoming environment for all students without regard to gender identity, race, or socioeconomic status.)

Sponsors: 

  • The Travelers Companies, Inc.
  • Cargill
  • Minnesota Center for Financial and Actuarial Mathematics (MCFAM) - University of Minnesota School of Mathematics
  • University of Minnesota School of Statistics
  • Securian Financial
  • Juno, Jupyter Client for iOS
  • Nic Pifer

Support: 

Volunteers: People and corporations interested in volunteering at the camp should contact Kaisa Taipale at taipale@umn.edu or Robin Dixon at rdixon@umn.edu. Volunteer opportunities include supporting camper teams while they work on their projects and attending their presentations on 6/21 and 6/28.  Volunteers must have experience explaining technical machine learning concepts to lay audiences and must have a track record of engaging young populations in interactive educational content.

Funding: To make a financial contribution that give all students access to this important learning opportunity, contact Laurie Derechin at lderechi@umn.edu.  

Communications: We are excited about developing this camp in future years and want to start building awareness about the program now. Please contact Amanda Schwartz at aschwa@umn.edu with any publicity opportunities.

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