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INTRODUCTION TO UNMANNED AIRCRAFT SYSTEMS

EMA 105
과목 설명

Prepares students to operate Unmanned Aircraft Systems (UAS) for commercial purposes. Focuses on remote sensing, automation / artificial intelligence, data analytics and business applications / opportunities for UAS. Teaches all applicable subjects and provides hands-on experience necessary to 1) safely, legally and ethically operate UAS for commercial purposes; 2) effectively apply UAS to solve business problems and 3) manage, process and analyze data collected via UAS. Optional Federal Aviation Administration exam for a remote pilot-in-command (RPIC) certification. Group projects involving real-world drone flights to collect data and produce commercially viable products.

선수과목

None

충족 요건

This course does not satisfy any prerequisites.

학점

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개설 시기

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평점
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변화 계산 불가

수료율
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변화 계산 불가

A 비율
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변화 계산 불가

학급 규모
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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

GEOSPATIAL TECHNOLOGIES: DRONES, SENSORS, AND APPLICATIONS

GEOG 379

Introduction to state-of-the-art technologies that capture properties of the landscape, which is critical to better characterize and understand environmental properties and change. Develop skills in geospatial systems applicable to a variety of research and industry fields. Includes an overview of unmanned aerial systems (drones), light detection and ranging (LiDAR), high-grade Differential GPS (DGPS), Global Navigation Satellite Systems (GNSS), virtual reality, optical sensors, geocaching, and geotagging.

INTRODUCTION TO FEEDBACK CONTROL OF AUTONOMOUS SYSTEMS

EMA/ME 458

Feedback control theory fundamentals; numerical optimal control algorithms underpinning autonomous systems; quadcopter kinematics dynamics; quadcopter control and trajectory planning; hands-on labs on a nano quadcopter platform.

ENVIRONMENTAL SENSING TECHNOLOGIES

ENVIRST 971

Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.

INTRODUCTION TO AEROSPACE ENGINEERING

EMA 200

An introduction to the fields of aerospace engineering and mechanics. Fundamental concepts in engineering, including modeling, analysis, design, fabrication and experimental testing. Career paths, engineering ethics, shop safety, and oral and written technical communication.

FLIGHT DYNAMICS AND CONTROL

EMA 523

Aircraft longitudinal and lateral static stability. Aircraft equations of motion. Stability derivatives. Longitudinal and lateral dynamic stability of uncontrolled motion. Open-loop aircraft control. Closed-loop aircraft control.