Computational Biophysics and Modeling
( 25 Modules )

Module #1
Introduction to Computational Biophysics
Overview of the field, importance, and applications of computational biophysics

Module #2
Physical Principles of Biological Systems
Review of fundamental physical principles underlying biological systems, including thermodynamics, statistical mechanics, and electromagnetism

Module #3
Computational Tools for Biophysics
Introduction to programming languages and software used in computational biophysics, including Python, MATLAB, and molecular dynamics simulation packages

Module #4
Mathematical Modeling of Biological Systems
Introduction to mathematical modeling techniques, including differential equations, stochastic processes, and network analysis

Module #5
Structural Biology and Molecular Modeling
Introduction to structural biology, protein structure prediction, and molecular modeling techniques

Module #6
Molecular Dynamics Simulation
Introduction to molecular dynamics simulation, including force fields, integration algorithms, and simulation protocols

Module #7
Monte Carlo Simulation
Introduction to Monte Carlo simulation, including random number generation, Markov chains, and Monte Carlo integration

Module #8
Coarse-Grained Modeling
Introduction to coarse-grained modeling, including simplified representations of biological systems and coarse-grained force fields

Module #9
Free Energy Calculations
Introduction to free energy calculations, including thermodynamic integration, free energy perturbation, and umbrella sampling

Module #10
Bioinformatics and Sequence Analysis
Introduction to bioinformatics, including sequence alignment, phylogenetics, and genomics

Module #11
Computational Analysis of Biological Networks
Introduction to computational analysis of biological networks, including network topology, network dynamics, and network inference

Module #12
Computational Systems Biology
Introduction to computational systems biology, including systems-level modeling of biological systems and whole-cell modeling

Module #13
Cellular Biophysics
Introduction to cellular biophysics, including cell mechanics, cell adhesion, and cell signaling

Module #14
Computational Neuroscience
Introduction to computational neuroscience, including modeling of neural systems and neural networks

Module #15
Machine Learning in Biophysics
Introduction to machine learning, including supervised and unsupervised learning, and applications to biophysics

Module #16
Big Data and High-Performance Computing in Biophysics
Introduction to big data and high-performance computing, including parallel computing, distributed computing, and cloud computing

Module #17
Case Studies in Computational Biophysics
Real-world examples of computational biophysics applied to biological systems and diseases

Module #18
Modeling of Biological Processes
Modeling of specific biological processes, including protein-ligand binding, protein folding, and membrane transport

Module #19
Modeling of Biological Systems
Modeling of specific biological systems, including gene regulatory networks, metabolic networks, and signaling networks

Module #20
Computational Biophysics of Cellular Processes
Computational biophysics of cellular processes, including cell division, cell migration, and cell death

Module #21
Computational Biophysics of Developmental Biology
Computational biophysics of developmental biology, including pattern formation, morphogenesis, and tissue engineering

Module #22
Computational Biophysics of Disease
Computational biophysics of disease, including modeling of disease mechanisms and development of therapeutic strategies

Module #23
Computational Biophysics and Drug Discovery
Computational biophysics and drug discovery, including virtual screening, lead optimization, and pharmacokinetics

Module #24
Computational Biophysics and Systems Medicine
Computational biophysics and systems medicine, including systems-level understanding of disease and personalized medicine

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Computational Biophysics and Modeling career

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Computational Biophysics and Modeling ( 25 Modules )

Computational Biophysics and Modeling
( 25 Modules )