Social Science Bldg., Room 401
Phone: (406) 243-2883
Mobile Computer Science Principles
This class is intended for Montana high school teachers who wish to learn the Mobile CSP curriculum so that they might offer it in their local schools.
Mobile CSP is a College Board-endorsed AP Computer Science Principles course based on the theme of mobile computing.
- Engages students in building socially useful mobile apps in App Inventor
- Uses project-based programming and computer science lessons
- Emphasizes writing & communication skills
- Fosters collaboration & creativity in the classroom
June 25-29, 2018
Montana Tech, Butte
Topics include App Inventor programming, computational thinking, data and information.
This professional development workshop is geared toward high school teachers who may be offering the Mobile CSP curriculum in their local schools. However, other interested educators are welcome to attend as well.
Preview the Mobile CSP course. Register using your Google Account to access all materials.
This workshop is based upon work supported by the National Science Foundation under grant number CNS-1639841. If accepted, there is no fee to attend. A limited number of stipends and travel money is available. Register early to receive priority consideration for this additional funding.
You can take this Mobile CSP course and earn continuing education credits. More information about this will be posted later.
University of Montana
Salish Kootenai College
Montana State University
Participants must attend at least one additional weekend workshop in the spring or fall of 2018. The spring 2018 weekend workshop will be held on April 21-22 in Butte, Montana. The location and dates of other weekend workshops is TBD.
Priority registration for this workshop closes on March 1, 2018. Notification of acceptance will go out by March 21, 2018.
To register, please complete the Registration Form.
A JBC workshop will be held simultaneously in an adjacent computer lab, click here for more information on it.
This workshop is based upon work supported by the National Science Foundation under grant number CNS-1639841.