Simulation and modeling of natural processes

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About Course

Unlock the secrets of **natural process simulation and modeling** with this introductory course from the **University of Geneva**, offered **completely free** on Theetay. This comprehensive course equips you with the knowledge and skills to model a wide range of natural phenomena, including **fluid motion, stellar dynamics, and population evolution**.

Delve into various **modeling methodologies and simulation tools** used in diverse scientific fields. This course provides a foundational understanding of these methods, empowering you to apply them to your specific research interests. While it doesn’t delve into specific numerical methods or offer solutions for specific problems, it serves as a valuable guide to choosing the most appropriate methodology for your needs.

This **free** course emphasizes hands-on learning through **practical assignments**. You’ll build simple programs from scratch to solve real-world problems. No prior programming experience is required.

This course is part of our extensive collection of **free online courses** from leading platforms like **Udemy, Udacity, Coursera, MasterClass, NearPeer**, and more.

**Enroll now** and embark on a journey of exploration and discovery in the realm of **natural process simulation and modeling**, all without any cost.

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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
new topic

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

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