Program Description

The Autonomy Certification Program provides a specialization in topics pertinent to the development of autonomous systems. It is intended to provide a broad understanding of the concepts and approaches related to autonomy, as well as provides the student the ability to develop in-depth knowledge in specialty areas consisting of Artificial Intelligence, unmanned aerial systems, and human-machine teaming. The first specialty area sequences are offered in the department of Systems Engineering and Management.

Admissions Requirements

Students may apply for enrollment into the Graduate Certificate in Autonomy by requesting, completing and returning the “Request for Enrollment of Certificate” form from the Registrar: registrar@afit.edu and selecting the “Autonomy Certificate In Residence Only” option.

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Outcomes & Objectives

Student Learning Outcomes (SLO):

Upon completion of the certificate program, the students will be able to:

SLO 1: Define autonomy and identify systems that require autonomous operation as distinct from automated systems.

SLO 2: Identify the ethical considerations of autonomy.

SLO 3: Analyze the challenges of autonomy in various environments and develop approaches to overcome those challenges.

SLO 4: Develop new approaches for using AI in autonomous systems, using autonomy to improve UAS capabilities, or improve human-machine teaming (depending on the sequence).

SLO 5: Design and implement an aspect of an autonomous

Degree Information

Degree Type: Certificate

Delivery Method: In-Residence

Degree Requirements

The program for this certificate consists of 1 required introductory course and a set of 3 required courses focused on one of the three specialized sequences.

Required course:
EENG 550 – Introduction to Autonomy (2 credits)

Three courses from one of the following three elective sequences:

Artificial Intelligence for Autonomy Sequence (12 credits)
CSCE 523 – Artificial Intelligence
CSCE 623 – Statistical Machine Learning
and 1 of the following courses:
CSCE 723 – Advanced Topics in Artificial Intelligence
CSCE 823 – Artificial Neural Networks

Unmanned Systems Sequence (12 credits)
SENG 550 – Small UAS Concept Definition and Preliminary Design
SENG 650 – Small UAS Detailed Design
SENG 651 - Small UAS Test and Evaluation

Human-Machine Teaming Sequence (12 credits)
HFEN 560 – Introduction to Human Factors
HFEN 663 – Human Computer Interaction
HFEN 665 – Human-Agent Interaction

TOTAL: 14 credit hours

Graduate School Catalog
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Air Force Institute of Technology
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