IE 4522 — Human-Machine Systems

4 semester hoursUndergraduateLectureusually offered: fall, springtypical days: M/W/ThBostonTraditional

Emphasizes and addresses human sensory and motor performance, information processing, learning and training methodology, skilled-task development, psychophysical models, response time, and relevant aspects of attention and memory. Topics include system design and development, hazard and error evaluation, and properties of effective visual displays. Endorses experimentation as a source of knowledge of human performance characteristics. Covers research and statistical analyses related to human-asset engineering, fundamentals of vision, audition, somesthesis, signal detection, and some aging effects. Safety and usability of environments, machines, products, and devices consider principles of human-machine interaction, decision making, and anthropometric characteristics. Laboratory experiences include literature review, experimental design, data collection and analysis, hypothesis testing, and generation of reports to inform the design of safe, usable, and marketable engineering products, processes, and systems.

Prerequisites

Corequisites (same term)

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231172471%7.0
Spring 20242606888%4.0
Fall 20241242789%3.0
Spring 202524848100%0.0
Fall 20251163053%14.0
Spring 20262374484%3.5

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 72% · T 8% · W 72% · Th 72% · F 20%

Common patterns: MWR (72% of sections), F (20% of sections), T (8% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Percentages are each professor's average share of the season's enrolled students in recent terms.

Links

Official catalog (IE course descriptions) · Student reviews on RateMyHusky · All IE courses · Plan it at numap.app