Camp details and tracks are below. To register, click the track title. If you have questions, please email Axel Reitzig.
This track is oriented towards students who are beginners and students who have had some basic exposure to cybersecurity. According to a study into computer security manpower challenges and potential solutions released by the Center for Strategic and International Studies (CSIS), "we not only have a shortage of the highly technically skilled people required to operate and support systems already deployed, but also an even more desperate shortage of people who can design secure systems, write safe computer code, and create the ever more sophisticated tools needed to prevent, detect, mitigate, and reconstitute from damage due to system failures and malicious acts." Experienced cyber instructors will teach Computer Forensics and Cybersecurity fundamentals. The week-long program will culminate with a Cybersecurity Grand Challenge Competition. The program encourages both students who are beginners and students who have an intermediate knowledge of Cybersecurity.
This track is intended for students with experience in cybersecurity concepts and practices. Are you ready to take your CyberSecurity skills to the next level? This course is intended for students who have a solid foundation in the fundamentals of CyberSecurity, and will include extensive hands-on lab time. Cyber experts will lead this course and help students improve their skills and prepare them for the CyberPatriot competitions this fall. Enrollment priority will be given to students who have participated in at least one Cyber Patriot season and intend to compete in the 2017-2018 season. This curriculum is intended for students who have had previous exposure to Cyber Security concepts.
This track is oriented towards high schools students with some prior experience with computer programming. Note: the content will include probability and statistics, so a strong foundation in math is encouraged. This introduction to machine learning will acquaint students to core concepts of computer programming and statistics and their application in the real-world. Machine Learning encompasses increasingly important optimization techniques which allow us to automate many processes—think robotics, self-driving cars, optimization of investment success, and the famous Watson computer. Have you noticed how a website like Amazon is able to suggest products for you that seem to fit you like a glove? Machine Learning techniques allowed Amazon to infer what you might like based on previous viewings and purchases. How about an app like Pandora? It “learns” the type of music you like based on what you have listened to or purchased previously. Programmed with the right techniques, computers have the ability to find obscure patterns in data which even humans would have difficulty detecting. Computers are then able to bridge ties and build relationships between information in new ways to solve a great variety of problems. In addition to exposure to computer programming and statistical inference in the context of data analysis, the week will involve hands-on analysis of a variety of real-world datasets. This class concludes with the development of a 20 Questions Game. Curriculum is geared toward advanced STEM students. This curriculum is intended for students who have had previous exposure to computer programming.
50 years ago, humans first walked on the surface of the moon. It has been a while since the last lunar landing, but there is growing interest both in returning to the moon as well as colonizing Mars. Come learn about the science of planetary exploration through robotics by designing and building robots for a Mars or lunar mission. This course is oriented primarily towards middle school and early high school students.