Summer 2024
Learning, Exploration and Application for Prospective Engineering Students
at the University of Kansas
Math
Learn basics of linear algebra and probability, two necessary mathematical tools for deep learning and artificial intelligence.
Computer Science (CS)
Learn the fundamentals of optimization algorithms and computer code, which are critical for computations in deep learning and artificial intelligence.
Aerospace Engineering (AE)
Learn about the basics of aircraft dynamics, control, and autonomy. Deepen your understanding through hands-on projects on unmanned aerial systems and performing actual flight tests.
Artificial Intelligence (AI)
Build an autonomous car which can drive itself using a neural network model and a front-facing camera. Learn essential basics of AI systems by training a neural network model for the autonomous car on Google Colab cloud environment and testing the trained model on the actual RC car.