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About
First-Year Application Deadlines
Don't miss your chance to apply to Marist!
• Early Decision II and Regular Decision: Saturday, Feb. 15About
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Academics
First-Year Application Deadlines
Don't miss your chance to apply to Marist!
• Early Decision II and Regular Decision: Saturday, Feb. 15Academics
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Admission & Financial Aid
First-Year Application Deadlines
Don't miss your chance to apply to Marist!
• Early Decision II and Regular Decision: Saturday, Feb. 15Admission & Financial Aid
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Student Life
First-Year Application Deadlines
Don't miss your chance to apply to Marist!
• Early Decision II and Regular Decision: Saturday, Feb. 15Student Life
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Summer Pre-College: Robotics
Earn college credits this summer while you learn to design and create your own robot design.
Message from Summer Pre-College Robotics Director
Are you interested in a hands-on learning experience while solving mechanical problems and working with a team to find solutions? Students who enroll in the Marist Summer Pre-College Robotics course will apply the techniques learned in real robotic systems, using commercial robotics kits and programming environments. Students will apply concepts they learn in chassis design, sensor selection, actuator implementation, and control theory, to solve real world problems in robotics. While programming is a large component of the program, no prior experience is required. We will be teaching simple programming techniques to implement our solutions and will be working through many practical laboratories honing your skills and confidence!
About Professor Brian Gormanly
Brian Gormanly received his MS from Marist College and his BS from Mount Saint Mary College. His professional interests are Software Engineering, Robotics, Distributed Application Systems, Microservices, and the Internet of Things.
Brian has worked as a software engineer for 15 years in industry and has been an active entrepreneur, starting several businesses over his career. As a software engineer, Brian grew into senior and lead Positions, architecting enterprise systems. He has presented on topics including the performance of Oracle on System z, augmented reality, and cloud-based enterprise solutions. He currently works creating highly scalable systems collecting data from IoT devices and sensors for applications such as indoor localization and robotics. He has combined his expertise in distributed cloud application programing with microservices architecture and embedded application programing, topics he incorporates in his teaching. He has also developed other navigation algorithms working with Simultaneous Localization and Mapping (SLAM) navigation for robotics, experimenting with low-cost and smaller sensing options such as ultrasonic and infrared.