Ordinary Differential Equations Courses and Certifications

Harvard CMSA

Abelianization in Analysis of ODEs - Applications to Geometric Structures

Delve into advanced mathematical concepts of exact WKB method, exploring its connection to geometric theories and its role in analyzing ODEs through GL(N)-connections and Higgs bundles.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

常微分方程

常微分方程是基础数学的一个重要组成部分，在整个数学大厦中占据着重要的位置，他是打开应用数学的大门，在自然界、社会界等各个领域中都有着广泛的应用。

• XuetangX
• On-Demand
• Free Online Course

Beijing Jiaotong University

常微分方程

Dive into ordinary differential equations through real-world applications like epidemic modeling and butterfly effect, mastering solution methods and stability analysis for mathematical problem-solving.

• XuetangX
• On-Demand
• Free Online Course

Yunnan Normal University

常微分方程

Master fundamental concepts and methods of ordinary differential equations, from basic integration techniques to advanced linear systems and theoretical foundations.

• XuetangX
• On-Demand
• Free Online Course

Introducción a las ecuaciones diferenciales

17 reviews

Aprende el lenguaje de las ecuaciones diferenciales ordinarias y su aplicación en la modelación de muchos de los fenómenos que nos rodean.

• edX
• 7 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Explore deep learning applications in symbolic mathematics, covering integration techniques, ODEs, and model evaluation, with insights on generalization and comparisons to traditional methods.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course

Engineering Mathematics: Linear Algebra and ODEs, Fall 2014

Explore linear algebra and ODEs, covering numerical solutions for equation systems. Learn first and second-order equations with renowned instructor Gilbert Strang.

• YouTube
• 5 hours
• On-Demand
• Free Video

Differential Equations

Explore the language of nature through differential equations, covering topics from Euler's method to Fourier series and Laplace transforms, with applications in science and engineering.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Dynamical Modeling Methods for Systems Biology

218 ratings at Coursera

Explore dynamical modeling techniques in Systems Biology, including differential equations and stochastic models. Learn to develop testable predictions and gain insights into biological processes.

• Coursera
• 19 hours
• On-Demand
• Free Online Course (Audit)

Engineering Genetic Circuits: Modeling and Analysis

Learn to model, simulate, and analyze genetic circuits using SBML, ODEs, and stochastic methods. Explore advanced algorithms and apply computational analysis for optimal genetic circuit design.

• Coursera
• 1 day 41 minutes
• On-Demand
• Free Online Course (Audit)

Differential Equations with the Math Sorcerer

585 ratings at Udemy

Complete Differential Equations Course with TONS of worked problems and assignments:)

• Udemy
• 11 hours 7 minutes
• On-Demand
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Basic Mathematics

106 ratings at Coursera

Comprehensive introduction to fundamental mathematical concepts, covering complex numbers, trigonometry, matrices, calculus, and differential equations with real-world applications.

• Coursera
• 1 day 3 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Numerical Methods in EXCEL/VBA PROGRAMING

81 ratings at Udemy

Learn the workings of the most common numerical methods and a step by step process on how to program each of them

• Udemy
• 10 hours
• On-Demand
• Paid Course

Ordinary Differential Equations and Linear Algebra - Part 1

Explore mathematical modeling of natural phenomena through qualitative and quantitative analysis of 1st order differential equations and linear algebra.

• edX
• 7 weeks, 2-8 hours a week
• On-Demand
• Free Online Course (Audit)

Ordinary Differential Equations and Linear Algebra - Part 2

Explore qualitative and quantitative analysis of higher-order differential equations, delving into linearity theory and nonlinear complexity in mathematical modeling of natural phenomena.

• edX
• 7 weeks, 2-8 hours a week
• On-Demand
• Free Online Course (Audit)