Simulation and modeling of natural processes

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About Course

Created by Unviersity of Geneva

Simulation and modeling of natural processes, This course gives you an introduction to modeling methods and simulation tools for a wide range of natural phenomena. The different methodologies that will be presented here can be applied to very wide range of topics such as fluid motion, stellar dynamics, population evolution, … This course does not intend to go deeply into any numerical method or process and does not provide any recipe for the resolution of a particular problem. It is rather a basic guideline towards different methodologies that can be applied to solve any kind of problem and help you pick the one best suited for you. The assignments of this course will be made as practical as possible in order to allow you to actually create from scratch short programs that will solve simple problems. Although programming will be used extensively in this course we do not require any advanced programming experience in order to complete it.

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What Will You Learn?

  • Dynamical systems and numerical integration
  • Lattice Boltzmann modeling of fluid flow
  • Particles and point-like objects
  • Introduction to Discrete Events Simulation

Course Content

Simulation and modeling of natural processes
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  • A Message from the Professor
  • 0020 002_monte-carlo-methods-ii.mp4
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  • 0023 003_monte-carlo-methods-iii.mp4
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  • 0028 001_introduction-to-high-performance-computing-for-modeling.mp4
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  • 0037 002_palabos-a-parallel-lattice-boltzmann-solver.mp4
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  • 0038 001_dive-into-python-3_instructions.html
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  • 0041 002_an-introduction-to-python-3.mp4
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  • 0044 001_running-a-python-program.mp4
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  • 0056 002_loops.mp4
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  • 0059 001_functions.mp4
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  • 0065 002_references-for-numerical-analysis_instructions.html
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  • 0068 001_general-introduction-to-dynamical-systems.mp4
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  • 0074 002_growth-of-a-population.mp4
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  • 0076 003_a-reference-for-the-random-walk_Lecture3_Readings_Chap23.pdf
    00:00
  • 0079 001_balance-equations-i.mp4
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  • 0082 002_balance-equations-ii.mp4
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  • 0085 001_integration-of-ordinary-differential-equations.mp4
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  • 0088 002_error-of-the-approximation.mp4
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  • 0091 003_the-implicit-euler-scheme.mp4
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  • 0094 001_numerical-integration-of-partial-differential-equations.mp4
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  • 0117 002_microdynamics-of-lga.mp4
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  • 0124 001_computational-fluid-dynamics-overview.mp4
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  • 0127 002_equations-and-challenges.mp4
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  • 0130 003_from-lattice-gas-to-lattice-boltzmann.mp4
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  • 0133 001_macroscopic-variables.mp4
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  • 0136 002_collision-step-the-bgk-model.mp4
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  • 0139 003_streaming-step.mp4
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  • 0142 001_boundary-conditions.mp4
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  • 0145 002_flow-around-an-obstacle.mp4
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  • 0150 001_particles-and-point-like-objects-overview.mp4
    00:00
  • 0153 002_newtons-laws-of-motion-potentials-and-forces.mp4
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  • 0156 003_time-integration-of-equations-of-motion.mp4
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  • 0159 001_the-lennard-jones-potential-introducing-a-cut-off-distance.mp4
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  • 0165 002_barnes-hut-algorithm-using-the-quadtree.mp4
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  • 0170 001_introduction-to-discrete-events.mp4
    00:00
  • 0185 002_volcano-ballistics.mp4
    00:00
  • 0190 001_motivation.mp4
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  • 0205 002_bacteria-chemotaxy.mp4
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