SHE level 10 SCQF credit points 20 ECTS credit points 10 Module code MHH630787 Module Leader Adam Craig School School of Science & Engineering Subject Audio Engineering Trimester B (January start)
Summary of content This module introduces advanced methods and techniques used in acoustic modelling, exploring both room acoustics and environmental acoustics. Students will gain practical and theoretical insights into computational acoustic prediction techniques, simulation software applications, and acoustic measurement strategies. The module emphasises how acoustic environments affect human perception, comfort, and functionality, and provides students with the analytical and practical tools to assess and improve acoustic performance in various settings.
Module details Syllabus arrow_forward The syllabus will typically include the following areas: • Introduction to Acoustic Modelling: Principles and scope of acoustic modelling. Overview of computational methods and prediction tools. • Room Acoustics Modelling: Geometric acoustics and ray tracing methods. Wave-based and statistical methods (e.g., image source methods, finite element, boundary element). Room acoustic metrics (reverberation time, clarity, speech intelligibility). • Environmental Acoustics Modelling: Sound propagation outdoors (attenuation, diffraction, reflection). Prediction of environmental noise levels using software. Impact assessments and noise mitigation strategies. • Human Perception of Acoustics: Psychoacoustics: loudness, annoyance, valence, arousal, and their implications in acoustic design. Soundscape assessment methodologies. • Measurement Techniques and Model Validation: Acoustic measurement methods and standards (ISO 3382, ISO 9613). Model validation and uncertainty analysis.
Learning outcomes arrow_forward On successful completion of this module, students should be able to: 1. Measure the acoustic properties of rooms using industry standard techniques (B1, B13, B16). 2. Apply advanced tools to model the acoustics of rooms to analyse and evaluate models against measured values (B1, B2, B3, B4, B6). 3. Evaluate and critically assess advanced acoustic models for predicting sound propagation in rooms and outdoor environments (B12). 4. Demonstrate the principles and practice of environmental acoustics through noise modelling and align with current industry standards (B1, B2, B3, B4, B6). 5. Communicate technical information on acoustics clearly and effectively in written form (B17).
Teaching / learning strategy arrow_forward The University 'Strategy for Learning' documentation has informed the learning and teaching strategy for this module. Lectures will present the core module material and direct student reading and research. Tutorials will be used as a means to reinforce and clarify material presented in lectures. Laboratory sessions will be used to provide practical experience. Real-world case studies will feature in each of these modes of delivery. Opportunities to develop divergent thinking, personalised and deep learning are provided through directed reading and coursework investigations. Full use will be made of GCU Learn to provide lecture-based and related study materials, along with sample solutions of tutorial and laboratory exercises, thus encouraging the development of independent learning and allowing self-reflective feedback on student performance. Staff-based feedback on student performance for submitted work will be provided in line with the University feedback policy.
Indicative reading arrow_forward Transferrable skills arrow_forward Students should develop the following key transferable skills: • Analytical thinking: Applying physical and mathematical reasoning to solve technical problems. • Data interpretation: Collecting, analysing, and interpreting empirical data with attention to precision and accuracy. • Communication: Producing clear, structured technical reports and engaging in effective oral presentations. • Technical literacy: Gaining proficiency with instrumentation and software relevant to acoustic analysis and design. • Collaboration: Working in teams during practical labs and project-based activities. • Critical evaluation: Assessing design options and measurement results with reference to industry standards and scientific literature.
Module structure Activity Total hours Lectures 11 Tutorials 11 Practicals 22 Seminars 0 Independent Learning 138 Assessment 18 Placement 0
Assessment methods Component Duration Weighting Threshold Description Course Work001 50 35 1500 Word Report Course Work002 50 35 1500 Word Report Course WorkCW1 50 35 1500 Word Report Course WorkCW2 50 35 1500 Word Report