Course: EW370 Autonomy and Control in Naval Weapon Systems

1 Credits – 0 Recitation Hours – 2 Laboratory Hours

Course Description:

An introduction to the fundamentals and design of autonomy for use in naval weapon systems. The course develops conceptual understanding and intuition through a series of demonstrations and hands-on experiences. Topics include fundamentals of feedback control theory and an introduction to the rapidly developing areas of machine learning and artificial intelligence as they relate to naval power.

Co-requisite:

EW300

Course Coordinator:

LCDR Allan Elsberry

Textbook:

None

Course Objectives:

1. Describe historical trends in the introduction of autonomy in naval warfare

2. Understand fundamental negative feedback control techniques that facilitate autonomy.

3. Differentiate between levels of autonomy in naval weapon systems.

4. Understand the benefits and limitations of artificial intelligence to the conduct of naval warfare.

5. Analyze military capabilities to determine challenges associated with fully autonomous systems.

Topics:

1. Intro to Autonomy

2. Error and System Response

3. Controllers

4. Sensors

5. Autonomy Today

6. Computer Vision

7. Machine Learning

8. Deep Neural Networks

9. Networks and Swarms

10. Human Systems Integration

11. Ethics of Autonomous Systems