Lectures related to Patient-Specific Knee Model: Patellar Strain in TKA

Numerical Methods in Biomechanics: Hip-A

Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.

Musculoskeletal System Engineering: Numerical Methods in Ankle Rehabilitation

Explores numerical methods in ankle rehabilitation, focusing on total replacement engineering and clinical background.

Patient-specific TKA Model: Patella

Covers the development of a patient-specific TKA model focusing on patellar issues and its application to real patients.

Smart Orthopedic Implants

Explores smart orthopedic implants, including anatomy, arthritis, and future perspectives in the field of orthopedics.

Knee Implant: Biomechanical Considerations and Clinical Treatments

Explores biomechanical considerations and clinical treatments for knee implants, covering alignment, osteotomy, arthroplasty, and implant development.

Numerical Differentiation: Part 1

Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.

Smart Implants for Orthopedic Surgeries

Introduces the project Smart Implants for orthopedic surgeries, focusing on developing innovative tools for measuring mechanical parameters and improving medical treatments.

Numerical Methods: Iterative Techniques

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Numerical Derivation: Formulas and Approaches

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Shoulder Biomechanics: Numerical Methods

Explores the engineering of the shoulder joint, covering biomechanics, numerical methods, and clinical applications.

Numerical Modelling of the Atmosphere

Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

Numerical Methods in Chemistry

Covers the implementation of numerical methods in MATLAB for solving chemical problems.

ODEs: Introduction and Solutions

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Complex Systems: Epidemics

Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.

Multigroup Theory: Main Equations and Numerical Solution

Covers the derivation of multi-group diffusion equations and the numerical methods for solving the neutron diffusion equation.

Numerical Integration: Lagrange Interpolation, Simpson Rules

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Computational Geomechanics: Unconfined Flow

Explores unconfined flow in computational geomechanics, emphasizing weak form derivation and relative permeability.

Numerical Differentiation: Richardson Extrapolation

Covers Richardson extrapolation for numerical differentiation to reduce error.

Sensitivity of Solutions

Explores the sensitivity of solutions in numerical methods, including linear systems and matrix norms, with an example of deblurring images.

Stochastic Differential Equations: Mean-Field Inference

Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.