Course Overview: This 30-hour drone course provides a comprehensive understanding of drone technology, including both fixed-wing and quadcopter systems. The course covers the fundamentals of aerodynamics, design principles, and key components of drones, as well as their fabrication and assembly. Students will gain hands-on experience building drones, configuring flight controllers using Mission Planner software, and performing both manual and autonomous flights. Safety protocols, troubleshooting techniques, and practical flying skills are emphasized throughout the program, making it ideal for those interested in applying drone technology in real-world industries such as agriculture, surveillance, and mapping. Course Outcomes: By the end of the course, students will be able to: 1. Understand the basic principles of aerodynamics and drone flight mechanics. 2. Gain practical skills in assembling and fabricating fixed-wing and quadcopter drones. 3. Use Mission Planner software for configuring and planning flight paths. 4. Troubleshoot common drone flight issues and implement safety measures. 5. Fly both fixed-wing and quadcopter drones manually and autonomously. 6. Apply drone technology to real-world applications, such as agriculture, surveying, and mapping.
Dr. Balaji Ravi is an academician and researcher specializing in aerodynamics, computational fluid dynamics (CFD), and hypersonic flow physics. He holds a Ph.D. in Hypersonic Aerodynamics and has extensive expertise in numerical simulation, high-speed flow analysis using ANSYS and MATLAB. His work primarily focuses on shock wave interactions, aerothermodynamics, and high-speed flow control techniques, which are critical in the design of missiles, re-entry vehicles, and supersonic/hypersonic aircraft systems. He has actively contributed to research involving shock wave–boundary layer interaction (SBLI)—a key phenomenon in high-speed aerospace vehicle design. Dr. Balaji is passionate about bridging theory and practice through hands-on training programs, workshops, and project-based learning in CFD and structural simulations.