11312 modules
Page 242
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SESM6038 2026-27
Computational methods in biomedical engineering design
Computational modelling is transforming the way healthcare technologies are designed, enabling engineers to create safer, more effective and increasingly personalised medical devices. This module develops the advanced computational skills needed to model human biomechanics and apply predictive engineering techniques to the design of healthcare technologies.
You will explore the computational methods used to reconstruct anatomy from medical imaging, analyse human movement and predict the mechanical behaviour of bones, joints and soft tissues. Building on these foundations, you will apply advanced numerical modelling techniques to evaluate orthopaedic implants, fracture healing and musculoskeletal function while also exploring broader biomedical applications such as cardiovascular devices and minimally invasive technologies. Throughout the module, you will strengthen your skills in computational modelling, engineering analysis and patient-specific design, gaining experience of the techniques that underpin modern digital healthcare engineering.
By the end of the module, you will be able to apply computational engineering methods to complex biomedical design challenges, equipping you with highly sought-after skills in medical technology development, digital health and biomedical research. -
SESM6038 2027-28
Computational methods in biomedical engineering design
Computational modelling is transforming the way healthcare technologies are designed, enabling engineers to create safer, more effective and increasingly personalised medical devices. This module develops the advanced computational skills needed to model human biomechanics and apply predictive engineering techniques to the design of healthcare technologies.
You will explore the computational methods used to reconstruct anatomy from medical imaging, analyse human movement and predict the mechanical behaviour of bones, joints and soft tissues. Building on these foundations, you will apply advanced numerical modelling techniques to evaluate orthopaedic implants, fracture healing and musculoskeletal function while also exploring broader biomedical applications such as cardiovascular devices and minimally invasive technologies. Throughout the module, you will strengthen your skills in computational modelling, engineering analysis and patient-specific design, gaining experience of the techniques that underpin modern digital healthcare engineering.
By the end of the module, you will be able to apply computational engineering methods to complex biomedical design challenges, equipping you with highly sought-after skills in medical technology development, digital health and biomedical research. -
SESM6038 2029-30
Computational methods in biomedical engineering design
Computational modelling is transforming the way healthcare technologies are designed, enabling engineers to create safer, more effective and increasingly personalised medical devices. This module develops the advanced computational skills needed to model human biomechanics and apply predictive engineering techniques to the design of healthcare technologies.
You will explore the computational methods used to reconstruct anatomy from medical imaging, analyse human movement and predict the mechanical behaviour of bones, joints and soft tissues. Building on these foundations, you will apply advanced numerical modelling techniques to evaluate orthopaedic implants, fracture healing and musculoskeletal function while also exploring broader biomedical applications such as cardiovascular devices and minimally invasive technologies. Throughout the module, you will strengthen your skills in computational modelling, engineering analysis and patient-specific design, gaining experience of the techniques that underpin modern digital healthcare engineering.
By the end of the module, you will be able to apply computational engineering methods to complex biomedical design challenges, equipping you with highly sought-after skills in medical technology development, digital health and biomedical research. -
SESM6038 2028-29
Computational methods in biomedical engineering design
Computational methods play an ever increasing role for the successful development of cost-effective and robust engineering solutions to address the challenges emerging from a healthcare agenda calling for prolonging independent living and the personalisation/stratification of care in our ageing societies.
The module will provide the theoretical basis and practical training in fundamental engineering skills required to develop innovative and robust design solutions for a range of technologies such as surgical tools, instrumentation, artificial joints, stents, minimally invasive surgery, and assistive technology including devices for rehabilitation and independent living. The module will introduce some of the key theories and computational methods that capture essential aspects of patient variability in predictive numerical tools and enable the development of robust technology for prevention, diagnosis, treatment and rehabilitation.
Demonstration of the use of the computational methods will concentrate on orthopaedic applications and more specifically on the analysis of the biomechanical behaviour of the musculoskeletal system. Here, key concepts and approaches with which the students will be familiarized with include methods for the reconstruction of 3D musculoskeletal anatomy from medical image data, the recording and description of skeletal kinematics as well as state of the art approaches for the calculation of muscle and joint forces. In a further step, these techniques will provide input to advanced numerical modelling techniques to predict and optimize the performance of joint replacements and the course of bone healing after a fracture.
The presentation and discussion of further case studies on cardiovascular applications will enable the students to understand how such computational tools can be successfully applied to a broad range of biomedical engineering design problems. -
SESM6038 2030-31
Computational methods in biomedical engineering design
Computational modelling is transforming the way healthcare technologies are designed, enabling engineers to create safer, more effective and increasingly personalised medical devices. This module develops the advanced computational skills needed to model human biomechanics and apply predictive engineering techniques to the design of healthcare technologies.
You will explore the computational methods used to reconstruct anatomy from medical imaging, analyse human movement and predict the mechanical behaviour of bones, joints and soft tissues. Building on these foundations, you will apply advanced numerical modelling techniques to evaluate orthopaedic implants, fracture healing and musculoskeletal function while also exploring broader biomedical applications such as cardiovascular devices and minimally invasive technologies. Throughout the module, you will strengthen your skills in computational modelling, engineering analysis and patient-specific design, gaining experience of the techniques that underpin modern digital healthcare engineering.
By the end of the module, you will be able to apply computational engineering methods to complex biomedical design challenges, equipping you with highly sought-after skills in medical technology development, digital health and biomedical research. -
SESM6038 2031-32
Computational methods in biomedical engineering design
Computational modelling is transforming the way healthcare technologies are designed, enabling engineers to create safer, more effective and increasingly personalised medical devices. This module develops the advanced computational skills needed to model human biomechanics and apply predictive engineering techniques to the design of healthcare technologies.
You will explore the computational methods used to reconstruct anatomy from medical imaging, analyse human movement and predict the mechanical behaviour of bones, joints and soft tissues. Building on these foundations, you will apply advanced numerical modelling techniques to evaluate orthopaedic implants, fracture healing and musculoskeletal function while also exploring broader biomedical applications such as cardiovascular devices and minimally invasive technologies. Throughout the module, you will strengthen your skills in computational modelling, engineering analysis and patient-specific design, gaining experience of the techniques that underpin modern digital healthcare engineering.
By the end of the module, you will be able to apply computational engineering methods to complex biomedical design challenges, equipping you with highly sought-after skills in medical technology development, digital health and biomedical research. -
CHEM2034 2026-27
Computational Practical
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MATH3094 2028-29
Computational Statistical Inference
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MATH3094 2027-28
Computational Statistical Inference
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MATH3094 2029-30
Computational Statistical Inference