This syllabus is live. Edits to this syllabus will need to go through review before they are made live.

You can download the module profile pdf.

View module history or Compare syllabuses for this module.

← Return to module list or Edit this syllabus in 201617.

Alternative you may want to edit this syllabus for the next academic year (201718).

If this document is inaccurate please contact the FEE CQA team at cqa-fee@soton.ac.uk

Module title Physiological and Psychophysical Measurement
Module code AUDI1007
Module lead

Rachel Van Besouw

Module lead profile url: www.southampton.ac.uk/engineering/about/staff/rmvb1e06.page
External Examiner: Mrs Wendy Stevens, De Montfort University
Faculty Engineering & the Environment
Academic unit FEE Ed - Audiology
Academic session first offered 201516
Credit Points ECTS 7.5
Level Undergraduate
When will the module be taught Full Academic Year
Pre-requisite and/or co-requisite modules
Programmes in which the module is core
Programmes in which the module is compulsory MSci Healthcare Sci(Audiology) (year 1)
BSc Hearing Science (year 1)
MSci Hearing Science (year 1)
BSc Healthcare Sci (Audiology) (year 1)
Programmes in which the module is optional
Date of last edit 27th Jul 2016 - 3:30pm

Module overview

The purpose of this module is to provide you with a theoretical basis for the methods used in physiological and psychophysical measurement. In particular, this module will help you to understand when and why certain approaches to measurement are used and to recognise common problems with measurement.

Aims and learning outcomes

Aim

Having successfully completed this module, you will be able to:

  • Introduce you to the basic methods used for, and the principles behind, electrophysiological and psychophysical measurement in neuroscience
  • Enable you to develop skills to critically evaluate and analyse information from books, webbased learning and relevant scientific literature
  • Enthuse you with scientific methods and research
  • Give examples that relate abnormalities of these parameters to features of neurosensory loss in humans

Disciplinary Specific

Having successfully completed this module, you will be able to:

  • (A) Describe the basic methods used for psychophysical measurement and explain the principles underlying those methods
  • (B) Describe the basic methods used for electrophysiological measurement and explain the principles underlying those methods
  • (C) Evaluate alternative basic approaches for use with individuals, identifying common problems of measurement and synthesising information from a variety of sources.

Graduate Attributes

Graduate Attributes are the personal qualities, skills and understandings that University of Southampton students have the opportunity to develop. They include but extend beyond subject-specific knowledge of an academic discipline and its technical proficiencies. The Graduate Attributes are achieved through the successful attainment of the learning outcomes of the programmes, and successful engagement with the University’s co-curriculum e.g. the Graduate Passport.

A checklist for embedding the graduate attributes is available at: https://sharepoint.soton.ac.uk/sites/ese/quality_handbook/Handbook/Employability%20Statement.aspx

Summary of syllabus content

• Units of intensity, frequency and time

• AC and DC signals

• Analogue and digital representation of signals

• Transducer systems for electrophysiological measurement

• Analysis and recording systems including signal conditioning

• Type and generation of stimuli

• Signals and noise

• Nerve conduction studies and velocity (NCV) measurement

• Recording evoked potentials (EPs)

• Spontaneous electroencephalography (EEG) including electrode montages

• Otoacoustic emissions (OAEs)

• Electro/videooculography (EOG and VOG)

• Classical and modern psychoacoustic methods

• Principles of detection, discrimination and recognition

• Domains of neurosensory signals (intensity, frequency, time, direction, acuity, velocity)

• Threshold measurement of neurosensory signals and psychometric functions

• Frequency discrimination

• Principles of masking

• Subjective scaling techniques

Summary of teaching and learning methods

Teaching methods include: 

In semester one, one 90 minute lecture per week and in semester two, one 45 minute lecture per week in a formal classroom setting. Typical class size is 30 students. During these lectures there may be small group work with four students per group discussing salient issues with feedback from each group to the whole class.

You will need to work in your own time and in timetabled independent learning sessions in order to supplement lectures. In addition to the information resources available to you, you will be able to meet with the module staff for assistance as and when required. 

Learning activities include: 

Working in small groups during the lecture and feeding back from those groups to the group as a whole.

Working in your own time and in timetabled independent learning sessions. You are expected to read supporting texts outlined in the book list and make reference to appropriate academic journals in order to support lectures. 

Study time alloaction:

Contact hours: 30

Private study hours: 120

Total study time: 150 hours

Summary of assessment and Feedback methods

Assessment Method Number % contribution to final mark Final assessment (✔)
Summative written assignment at the start of Semester 2 addressing Learning Outcomes A & C 50%
Exam      (Duration:120 minutes) 50%

Other Assessment Notes

Summative exam (120 mins) at the end of Semester 2 addressing Learning Outcomes B & C - students
will receive a mark and will be able to meet with the module lead for additional feedback

Referral Method

By examination

1 x Summative exam (120 mins) addressing Learning Outcomes A, B & C

Method of Repeat Year

Repeat year internally

Repeat year externally

Cost Implications

None

Appendix: KIS hours

Contact hours for Teaching:Hours
Lectures30
Seminars (including sessions with outside speakers)0
Tutorials0
Practical Classes and Workshops (including Boat work)0
Project supervision0
Fieldwork0
Demonstration Sessions0
Supervised time in studios/workshops/laboratories0
External Visits0
Summer Workshops0
Work Based Learning0
Total30
Independent studyHours
Preparation for scheduled sessions15
Follow-up work15
Revision10
Wider reading or practice-15
Completion of assessment task95
Placement Hours0
Year Placement0
6 Month Placement0
Total120