


Drone Swarms
This lecture overviews Drone Swarms that has many applications in autonomous drones.



Geometric Spaces
This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.



Drone Communication Networks
This lecture overviews Drone Communication Networks that has many applications in autonomous drones.



Mathematical Analysis
This lecture overviews Mathematical Analysis that has many applications in Computer Vision, Machine Learning and Autonomous Systems.



Introduction to Statistics
This lecture provides an Introduction to Statistics that has many applications in Data Analytics, Machine Learning and Signal Analysis. It covers the following topics in detail: Random Variables. Data Types. Data Sampling.



Drone Mission Simulations
This lecture overviews various drone mission simulator architectures, notably AirSim and Gazebo.