Mar 13, 2025  
2023-2024 Undergraduate Academic Catalog-June Update 
    
2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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IND 3600 - Ergonomics and Work Methods

3 lecture hours 2 lab hours 4 credits
Course Description
This course gives students a working knowledge of the capabilities and limitations of humans and how that can be applied to the proper design of products, workspaces, and jobs for better safety, greater efficiency, productivity, and comfort.  Additionally, the course will introduce students to the principles and techniques associated with work planning and methods analysis.  The course will include physical and cognitive aspects of work, as well as micro-ergonomic concerns (i.e., the study of the interaction between tools/technology, the environment, software, and the job, with people) and macro-ergonomics concerns (i.e., the design of overall work systems by providing information and methodology needed to make improvements). (prereq: MTH 2680 , and IND 2030  or equivalent) (quarter system prereq: MA 262)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Describe and explain how people fit into technological system
  • Recognize and assess workplace environmental factors including lighting, noise, and temperature
  • Recognize the capabilities and limitations of human perceptual-motor capabilities
  • Recognize the capabilities and limitations of human cognitive functioning and why people make errors
  • Explain the negative effects that poor work system design and poor product design have on humans
  • Recognize the human indicators of fatigue and stress
  • Define the ethical application of human factors in designing products, jobs, and processes
  • Recognize and evaluate ergonomic deficiencies in different environments (e.g., office, manufacturing, and classrooms)
  • Design and redesign tasks and workstations to fit employees
  • Use different methods, including time and motion studies utilizing a variety of techniques involving graphical analysis tools, traditional stop-watch time studies, predetermined time systems, and work sampling
  • Develop work standards and describe the advantages and limitations associated with standard data systems
  • Generate and evaluate ergonomic solutions and identify improvement opportunities based on work methods analysis and work measurement
  • Explain how labor reporting and incentive systems relate to methods analysis and work measurement
  • Demonstrate how automation and human factors/ergonomics can be integrated using data science (and other tools/methods) to overcome human limitations
  • Write reports that describe human performance
  • Understand the diverse composition of different enterprise environments
  • Organize and convey project information in different modalities (i.e., presentation and formal technical report)

Prerequisites by Topic
  • Basic knowledge and understanding of statistics including distributions, variability, means, standard deviations, and percentiles
  • Basic knowledge and understanding of inferential statistics (i.e., correlations, t-tests, ANOVA, regression analysis)

Course Topics
  • Introduction to and history of human factors and ergonomics, as well as work methods and work methods improvement
  • Human factors research methods
  • Vision, audition and other senses
  • Displays and controls
  • Human information processing and memory
  • Basic anatomy, physiology, and biomechanics
  • Physical workload, heat, and cold stress
  • Anthropometry and design, including work posture
  • Manual materials handling and design
  • Cumulative trauma disorders
  • Workspace design
  • Training and cognitive task analysis
  • Task, organization, and job analysis
  • Time studies and predetermined time studies
  • Standard data systems
  • Work sampling
  • Physiological work measurement
  • Shift work
  • Labor reporting
  • Accidents, human error, and safety
  • Incentives
  • Macro-ergonomics (i.e., job and organization design)
  • Increasing productivity
  • Human factors and automation systems
  • Engineering ethics

Laboratory Topics
  • The course includes a weekly two-hour lab where the students will be engaged in demonstrating their understanding of the lecture topics
  • Lab time will also be used to work on course project

Coordinator
Dr. Leah Newman



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