Applied Ergonomics
Upon completion of this course, students will be able to perform specific types of ergonomic analyses as well as design jobs and systems consistent with human factors engineering principles. Based on a survey at the beginning of the course, some topics may be changed if there is specific demand.
IE57800
Credit Hours:
3Learning Objective:
Students will analyze and synthesize knowledge of fundamentals in ergonomics, human factors, human-computer interaction, and the innovation process after utilizing active learning methods in lesson including think-pair-share and notes-with-gaps. Supplementary readings will emphasize applications of ergonomics in design and methods that are multi-disciplinary incorporating knowledge of computer sciences, information sciences and psychological principles. Students will apply methods to analyze research and existing designs, as well as demonstrate their ability to create new knowledge through content analysis. Students will generate new understandings in specialized topics if interest while utilizing information literacy methods such as bibliometric analysis, content analysis and cluster analysis for the final project.Description:
Upon completion of this course, students will be able to perform specific types of ergonomic analyses as well as design jobs and systems consistent with human factors engineering principles. Based on a survey at the beginning of the course, some topics may be changed if there is specific demand.
Topics Covered:
Anthropometrics, work physiology, methods analysis, lifting analysis, learning, time studies, synthetic data systems, activity sampling, sampling methods, process mapping, basic concepts in cognition, decision-making, task/workload, situation awareness, function allocation, supervisory control, performance modeling, human error analysis, human-computer interaction principles.Prerequisites:
B.S. in engineering or final year of undergraduate studies in engineering.Applied / Theory:
70 / 30Web Address:
https://mycourses.purdue.edu/Web Content:
https://mycourses.purdue.edu/Homework:
Homework based on lesson info (50%), Presentations (10%) will be 2 article summaries based on a "List of 10 Ways to Evaluate New and Existing Research" A review session and study guide will be provided in advance of the mid-term (worth 20% total). Exam preparation will incorporate gamification and game-based learning. Presentation slides should be submitted as a record of presentation on the same day as the presentation. Presentations (2) will be 5-6 minutes each will be made in "embedded audio" powerpoint to allow contributions from off campus students. For the first presentation, scores will be based on adherence to a prescribed format for preparing chapter-based presentations and second presentation will be scored according to adherence to a "List of 10 ways to Analyze New & Existing Research" (including content analysis and review and reappraisal report) A review session and study guide that will be introduced in lessons. Late materials will have a deduction.Projects:
Final grades will include a Final Project (20%) with report based on customized information content and content analysis. There will be no final exam. Feedback about the final project will be given during a session for "progress report" to be given during final exam week (exam timeslot) for on-campus students or agreed time for off-campus students.Exams:
There will be a midterm and some scoring associated with preparation for the midterm (total worth 20%). There will be no final exam.Textbooks:
Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member.Supplementary reading: supplementary list of articles will be provided. Those can be downloaded through e-journals using Purdue ID & Password in Purdue Libraries. A subset of articles will be reviewed in class using a 'List of 10 Ways to Analyze New & Existing Research"
Computer Requirements:
ProEd minimum computer requirements.Supplementary Software: RAMSIS (Human Modeling software), Tobii Pro (eye tracking), Various familiar APPs (screen captures available in class); Data Mining and Content Analysis (using Bibliometric methods Meta data in software such as BibExcel, VOS-Viewer, CiteSpace (for visualizing) & MaxQDA. All are downloadable or accessible on Smart phone or personal computer.