Class Descriptions

A senior-level project design (capstone course), led by faculty from engineering and psychology as well as outside lecturers. Students participate in team fashion in human-factors design problems set by industry sponsors. Professional-level work is required, including report preparation and presentations. Timely lectures supplement the projects. Spring. Recommendations: ENP 161, 162, […]

ENP 120 – Senior Capstone

Techniques for ensuring the safety and efficacy of medical technology ranging from over-the-counter devices to complex diagnostic and therapeutic workstations to clinical information systems. Global standards and regulations, usability engineering program planning, function and task analysis, user interface requirements, applied user interface design, user interface simulation, design verification, and design […]

ENP 110 – Human Factors In Medical Technology

Examination of problems in designing and providing assistive devices to individuals with disabilities, to assist mobility, communication, positioning, and environmental control and daily living. Processes discussed include needs assessment, search for available devices, resources available, and creative problem solving. Students work with materials commonly used to create individualized devices, in […]

ENP 105 – Assistive Technology

(Cross-listed as BME 166.) This hands-on course challenges students to design computer-based products and systems that are easy to learn and use. Lectures cover the user interface-design process, basic design principles, and design evaluation methods. In-class exercises and projects reinforce the students’ understanding of the lecture material and provide practical […]

ENP 166 – Computer Interface Design

Field and laboratory research design, empirical data acquisition, recording and analysis: knowledge elicitation techniques, psychophysical methods, subjective scaling, human performance modeling, measurement of dynamic continuous signals including sampling, spectra filtering, etc, measurement of discrete signals, spectral and correlational data analysis. Recommendations: ENP 162 or graduate standing.

ENP 163 – Analytical Methods In Human Factors Engineering

Techniques for man-machine system designs in which cognitive and dynamic aspects are of major importance. Applications to computer-interface design, auto/semiautomated systems, biomedical systems, and others. Topics include information processing, decision making, reaction times, and signal detection theory. Individual and group projects, laboratory demonstrations. Recommendations: EN 1, 2, ENP 161, PSY […]

ENP 162 – Human-Machine System Design

(Cross-listed as BME 161.) Material relevant in consumer product design, biomedical engineering, architectural design, and machine design. Topics include design methodologies, user feedback techniques, performance measurements, sensory evaluation techniques, creative design, and prototyping. Extensive individual and group project design work. Emphasis on designing and creativity. Recommendations: EN 1, 2, ENP […]

ENP 161 – Human Factors In Product Design

Graduate-level seminar course designed for students who are interested in getting a broad overview of different research methods and analytical techniques in human factors/ergonomics research. Topics to be covered are related to the acquiring, recording, and analyzing of empirical data. Theory underlying these methods in human factors/ergonomics research also studied. […]

ENP 149 – Seminar In Engineering Psychology

Introduction to human-computer interaction, or how computers communicate with people. Methodology for designing and testing user interfaces, interaction styles (command line, menus, graphical user interfaces, virtual reality), interaction techniques (voice, gesture, eye movement), design guidelines, and user-interface management system software. Students will design a small user interface, program a prototype, […]

COMP 171 – Human Computer Interaction

Development of statistical concepts for the design and analysis of research. Consideration of the logic of statistical inference, analysis of variance, and nonparametric analysis. Recommendations: PSY 31 or CD 193 or graduate standing.

PSY 107 – Advanced Statistics I

A laboratory based on individual and group experiments designed to familiarize students with research methods in psychological investigations. Required for psychology majors. Lectures and one laboratory period. Requires completion of PSY 0031 or BIO 0132 or EC 0013 or MATH 162.

PSY 32 – Experimental Psychology

Systematic survey of the field of psychology, covering important general principles in the topics of psychological development, sensory processes, perception, motivation, emotion, learning, thinking, intelligence, aptitudes, social problems, and personality.

PSY 1 – Intro. To Psychology