Upcoming Event: Aviation Data Science Short Course

 
Short Syllabus:

This course teaches you fundamentals of reproducible data science and analytics, probabilistic reasoning & statistical inference, and machine learning to leverage data generated within the large scope of aviation and aeronautics. Course will be taught in four modules: (1) data science basics, (2) supervised reasoning, (3) unsupervised reasoning, and (4) dimensionality reduction and data visualization. We will cover three main areas of aviation data: (1) Airspace Operations, (2) Surface Operations and (3) Flight Safety. We will be using ATD-2, Sherlock, and FOQA data to build the case studies. Course is designed in two phases: (i) lecture and discussion: on the important topics in each module, and (ii) lab: with implementation of the methods learned on the real-world data using Python in Jupyter Hub. Evaluation will be based on a few individual assignments and a group project.

 

Download Flyer 

 

Pre-Requisites:

1 Linear Algebra, you can learn basics of this topic here:

http://www.cs.cmu.edu/~zkolter/course/linalg/index.html

2 Basics of Python Programming, many online short-courses are available to learn the basics.

 

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NAMS Student Research and Development Internship Opportunity

Quantum Artificial Intelligence - Video Editing Internship.

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Commercial airliners monitoring carbon dioxide emissions from cities worldwide

For the very first time, aircraft data collected by commercial airlines has the potential to contribute to the monitoring of greenhouse gas emissions—an important step in managing the mitigation of such emissions.

March 10, 2020
Upcoming Event: Aviation Data Science Short Course

This course teaches you fundamentals of reproducible data science and analytics, probabilistic reasoning & statistical inference, and machine learning to leverage data generated within the large scope of aviation and aeronautics.

January 20, 2020
Upcoming Event: Aviation Data Science Seminar and Video

As the number of air vehicles grows exponentially with unmanned aerial systems and the amount of data grows exponentially in civil aviation, the future holds more promise for a greater impact from advanced tools and techniques in data science and AI. This Spring, learn from experts in government, industry, and academia in a 12-seminar series, sponsored by USRA and UC Berkeley with NASA Ames Research Center. 

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