Robotics and Autonomous Systems (RAS) Graduate Certificate (RAS-CERT)

CIP Code: 141001

Program Description

The resurgence of Robotics and Autonomous Systems (RAS) is fueled by recent advancements in fast mobile computing and artificial intelligence technologies. A Graduate Certificate in RAS provides students with specialized knowledge and practical skills in the rapidly evolving fields of robotics and autonomous technologies. RAS applications span healthcare, manufacturing, self-driving cars, mobile robots, and aerial surveillance systems. Graduates of this program are well-prepared for careers in diverse industries, including autonomous vehicles, aerospace, healthcare robotics, and industrial automation. This certificate is ideal for professionals seeking to deepen their expertise in robotics and autonomous systems or transition into this cutting-edge field.

Admission Requirements

Admission to this certificate program requires a completed bachelor’s degree in Electrical or Computer Engineering, or a related field, with a 3.00 or higher GPA. The certificate may be earned as part of a graduate degree program or as a stand alone certificate for a non-degree graduate student.

Program Learning Objectives

Students enrolled in this program will learn to:

Gain a deep understaning of advanced concepts in the field of robotics and autonomous systems, including kinematic models, state estimation, control design, mapping and localization, path planning, and artificial intelligence
Identify, formulate, solve complex engineering problems by leveraging advanced autonomous robots principles, methodologies, and technologies
Employ state-of-the-art tools and techniques for simulation, analysis, and design to develop innovative autonomous robotic systems and applications.

Program Learning Outcomes

As a result of their learning experience, students successfully completing this program can:

Synthesize diverse robotics and autonomous systems concepts to solve complex real-world problems
Apply state-of-the-art analytical methods and tools to a wide range of robotics and automation challenges
Model, analyze, simulate, and realize new robotics and autonomous systems technologies through the applications of current theory, design methodologies, and validation techniques.

For More Information

Program Requirements

Required Courses: 6 Credit Hours

EE 7020 - Modern Control I Credit Hour(s): 3
EE 7560 - Advanced Robotics Credit Hour(s): 3

Elective Courses: 6 - 8 Credit Hours

Select two courses from the following list. Students must select EE 6130/L if they did not already take EE 4130/L. Students must select EE 6560/L if they did not already take EE 4560/L.

CS 6840 - Intro Machine Learning Credit Hour(s): 3
CS 7830 - Machine Learning Credit Hour(s): 3
(EE 7020 and 7560 both have prerequisites that are not included in the certificate curriculum)

(CS 7830 has a prerequisite of CS 6850)
EE 6120 - Industrial Controls and Automation Credit Hour(s): 3 and
EE 6120L - Industrial Controls and Automation Laboratory Credit Hour(s): 1
EE 6130 - Continuous Control Systems Credit Hour(s): 3 and
EE 6130L - Continuous Control Systems Laboratory Credit Hour(s): 1
EE 6560 - Introduction to Robotics Credit Hour(s): 3 and
EE 6560L - Introduction to Robotics Laboratory Credit Hour(s): 1
EE 7270 - Adaptive Control Credit Hour(s): 3
EE 7280 - Intelligent Control Credit Hour(s): 3