MEEN40620

Learning Outcomes:

On successful completion of this subject the student will be able to:
1. Apply engineering principles to biological systems in order to reduce the problem to an appropriate level of complexity.
2. Identify appropriate solution pathways and derive and develop solutions to biomechanical problems.
3. Design and conduct data collection and analysis related to biomechanical systems.
4. Develop analytical and numerical models of biomechanical systems, and use those models to predict mechanical behaviours.

Indicative Module Content:

Motion capture
Anthropometrics
Kinematics of human movement
Kinetics of human movement
Mechanical power analysis
Viscoelasticity and hyperelasticity
The use of hyperelastic models to describe soft tissue tensile test behaviour
The structure and function of biological tissues

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


 

Student Effort Hours:

Approaches to Teaching and Learning:

This module combines traditional lectures and exams with project- and group-based learning. Weekly practical sessions are used to guide you on the project components; you are strongly advised to make use of these sessions by seeking feedback from the instructors on your work in progress.

The projects in this module will involve writing code or using a software package to create computational biomechanical models. In this work, you may use AI tools as a learning tool to assist you with creating or debugging your code and models. However, you are ultimately responsible for the results, and you are expected to fully understand your code and your models. AI language models cannot measure, observe, or record real-world results. Any numbers or data an AI produces are fabricated, even if they look plausible. Your results must be based solely on data you collected yourself. Using AI-generated data in place of real measurements is a form of academic dishonesty.

Regarding the written reports in this module, you may use AI to comment on and review text you have authored. AI should be used akin to an instructor’s comments on a draft. You are strongly advised to critically evaluate the outputs AI provides.

You should keep a comprehensive record of all outputs generated by AI, and may be required to document these as part of the activities, or present them on demand.

Requirements, Exclusions and Recommendations

Learning Recommendations:

Engineering mechanics: statics and dynamics.
Solid mechanics.
Anatomy and physiology.

Module Requisites and Incompatibles

Equivalents:
Biomechanics (EEME40480)


 

Assessment Strategy

As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.