Catalogue of Modules, University of Nottingham

MM4AMH Advanced Methods in Human Factors
(Last Updated:03 May 2017)

Year  15/16

Total Credits: 10

Level: Level 4

Target Students:  MSc Human Factors, MSc postgraduate manufacturing students in School of Mechanical, Materials and Manufacturing Engineering, MSc Human-Computer Interaction

Taught Semesters:

Spring Assessed by end of Spring Semester 


MM4SHP Studying Human Performance 

Corequisites:  None.

Summary of Content:  This module develops analysis and evaluation skills from the earlier grounding in MM4SHP, introducing further methods and analysis techniques.

The syllabus covers:

  • Predictive evaluation techniques (e.g. GOMs, Fitts Law)
  • Psychophysical methods: paired comparison, method of limits, threshold measurements
  • Verbal protocol analysis
  • Video analysis of observation data
  • Ergonomics project management
  • Qualitative approaches and methodologies
  • Eye tracking methodologies
  • Ethic considerations in Human Factors research
  • Module Web Links:
  • Moodle
  • Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 12 weeks1 per week2 hours

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 75 one 2 hour exam 
    Coursework 1 25 Ethics application for a Human Factors research study 

    Professor G Burnett

    Education Aims:  This module aims to develop students' skills in analysis and evaluation from a Human Factors perspective. The module provides greater breadth in Human Factors methods by introducing further techniques. In addition, greater depth in understanding is sought, as methods are analysed in terms of their advantages and limitations. Considerable practical work is undertaken to enable understanding of how methods can be employed in research and development work.

    Learning Outcomes:  On successful completion of this module students will be able to:

  • LO1 Analyse products and workplaces using a range of different methods to suit the needs, capabilities and limitations of people in their physical/social/organisational environments.

  • LO2 Compare and contrast different methodological approaches when investigating Human Factors issues.

  • LO3 Evaluate methods and their emergent data for use in addressing Human Factors issues.

  • LO4 Demonstrate the application of specific methods in practical contexts.

  • LO5 - Select and execute appropriate methods to solve a Human Factors-related problem.

    Offering School:  Department of Mechanical, Materials and Manufacturing Engineering

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