After School STEM Coding and Robotics Program

  • Curated and up-to-date STEM curriculum for beginner level
  • Introduction to design thinking
  • Introduction to STEM concepts and topics
  • Beginner coding projects using MIT scratch
  • Beginner Level Fun Robotics Projects: Engaging students in basic robotics projects that introduce the fundamentals of robot assembly and simple programming.
  • End of Day Project Presentations: Encouraging young learners to present their daily projects and learnings, boosting their confidence and communication skills.
  • Launchpad to First Lego League Explore: Providing a gentle introduction to the world of competitive robotics through First Lego League Explore, preparing them for team collaboration and basic robotics challenges.
  • Curated and up-to-date STEM curriculum for intermediate level
  • Design thinking in practice
  • Intermediate level STEM concepts and topics
  • Intermediate coding projects using MIT scratch
  • Intermediate Robotics Projects: Building and programming robots that can perform specific tasks, bridging the gap between theoretical concepts and practical implementation.
  • 3D Printing
  • End of day project presentations
  • Launch Pad to First Lego League Challenge: Preparing students for participation in the First Lego League Challenge, providing them with foundational skills in robotics competitions and teamwork.
  • ROS Operating System: Deep dive into ROS functionalities, enabling students to configure and optimize robotics applications.
  • RTAB 3D Mapping Navigation: Instruction on real-time appearance-based mapping, allowing students to develop skills in sophisticated navigation techniques.
  • PCL 3D Point Cloud: Exploration of Point Cloud Library for 3D object recognition and environmental mapping.
  • Launch pad to FIRST Tech Challenge
  • Advanced robotics projects
  • SLAM Mapping Navigation: Advanced lessons on Simultaneous Localization and Mapping, teaching students to create detailed maps while simultaneously locating themselves within that map.
  • Machine Vision Applications: Integration of computer vision technologies in robotics, focusing on real-world applications.
  • End of day project presentations
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