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INTRODUCTION TO HUMAN FACTORS ENGINEERING LABORATORY

ISYE 348
과목 설명

Hands on experience applying concepts discussed inI SY E/​PSYCH  349. Complete a small three-part design project. Learn how to measure light, sound, anthropometric, and psychophysiological data, and then apply these measurements to product and workplace design challenges.

선수과목

Declared in Industrial Engineering and concurrent enrollment in ISYE/PSYCH 349 , or member of Engineering Guest Students

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점
4

0.77% 과거 데이터 대비

수료율
100%

0.21% 과거 데이터 대비

A 비율
100%

3.75% 과거 데이터 대비

학급 규모
66

22.73% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO HUMAN FACTORS

ISYE/PSYCH 349

Conveys the importance of considering human capabilities and limits in system design and operation. This includes understanding human characteristics from the cognitive, physical, and psychosocial perspectives. Implications of these characteristics are explored through understanding the needs of people, designing to support these needs, and evaluating systems to ensure they serve the intended purpose. Case studies are used to identify the human role in accidents and to identify design improvements. Application domains include consumer product design, human-computer interaction, workplace safety, and complex systems such as healthcare delivery.

HUMAN FACTORS ENGINEERING

ISYE/PSYCH 549

Analysis and design of man-machine systems using human performance models and data. Emphasis on systems involving communication and control. Projects using digital and analog computer simulation techniques for system design.

SPECIAL TOPICS IN HUMAN FACTORS ENGINEERING

ISYE/PSYCH 859

HUMAN FACTORS ENGINEERING FOR HEALTHCARE SYSTEMS

ISYE 557

Introduction to the application of Human Factors Engineering theory and methods to the analysis and improvement of healthcare delivery systems.

HUMAN FACTORS ENGINEERING DESIGN AND EVALUATION

ISYE 552

Evaluation, analysis, and design recommendations for improving human performance and productivity in applied settings. Collection of instrument-based and user survey data. Emphasis on ergonomics, human factors and sociotechnical systems engineering approaches and problems. Design project required.