Numerical Methods Courses

Fundamentals of Qualitative Research Methods

220 ratings

Learn the fundamentals of Qualitative Research Methods, developing a qualitative research question and get data using interviews, focus groups and analyse the data in this course by Yale University

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Computational Social Science Methods

150 ratings

Explore computational social science's impact on society, covering data science, machine learning, social networks, and simulations. Gain insights into digital footprints and emerging social patterns.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

• Best of All Time

Numerical Methods for Engineers

78 ratings

Explore essential numerical methods for engineers using MATLAB, covering root finding, matrix algebra, integration, interpolation, and differential equations. Gain practical skills through hands-on programming projects and quizzes.

• Coursera
• 1 day 16 hours 23 minutes
• Self-Paced
• Paid Course

LMU Munich

Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

391 ratings at Coursera

Practical introduction to numerical methods for solving partial differential equations using Python, covering finite-difference, pseudospectral, and element methods with hands-on coding and visualization in Jupyter notebooks.

• Coursera
• 1 day 11 hours 1 minute
• Self-Paced
• Paid Course

Numerical Methods For Ordinary Differential Equations

Master numerical methods for solving ordinary differential equations, analyzing mathematical and engineering problems where analytical solutions are impractical or impossible.

• OpenLearning
• Self-Paced
• Paid Course

Numerical Methods Applied to Chemical Engineering

Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Practical Numerical Methods with Python

5 ratings

Even if this is the only numerical methods course you ever take, dedicating yourself to mastering all modules will give you a foundation from which you can build a career in scientific computing.

• Independent
• 15 weeks, 6 hours a week
• Self-Paced
• Free Online Course

Programming Numerical Methods in Python

897 ratings at Udemy

A Practical Approach to Understand the Numerical Methods

• Udemy
• 12 hours 18 minutes
• Self-Paced
• Paid Course

International Mathematical Union

Mathematical Analysis and Numerical Methods for Inverse Scattering Problems

Explore mathematical analysis and numerical methods for inverse scattering problems, covering applications, challenges, algorithms, and recent progress in stability analysis and deep learning approaches.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Numerical Methods for Scattering and Resonance Properties in Molecules and Solids

Explore numerical methods for discretizing continuum states in electronic structure, addressing scattering, photo-ionization, and resonances. Learn efficient computational techniques with applications in condensed matter physics and chemistry.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Workshop on Probabilistic Numerical Methods - Panel Discussion

Panel discussion exploring probabilistic numerical methods, covering topics like reference priors, robust uncertainty quantification, and Bayesian inversion methods for improved statistical inference and error quantification.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

IIT Kanpur;  NPTEL

Applied Numerical Methods

Learn to solve complex engineering problems using numerical methods, from root finding to neural networks. Develop algorithms and implement them in computer programs for practical applications.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

International Centre for Theoretical Sciences

Modern Numerical Methods in Computational Relativity - Lecture 2

Explore advanced numerical techniques for solving Einstein's equations in computational relativity, focusing on applications in gravitational-wave astronomy and astrophysical simulations.

• YouTube
• 1 hour 37 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Modern Numerical Methods in Computational Relativity - Lecture 3

Explore advanced numerical techniques for solving Einstein's equations in computational relativity, focusing on modeling gravitational waves from merging black holes and neutron stars.

• YouTube
• 1 hour 49 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Modern Numerical Methods in Computational Relativity - Lecture 5

Explore advanced numerical techniques in computational relativity, focusing on simulating black hole mergers and other high-energy astrophysical phenomena for gravitational-wave astronomy.

• YouTube
• 2 hours
• Self-Paced
• Free Video