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Learn Numerical Methods online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Learn to use machine learning in Python in this introductory course on artificial intelligence.
École normale supérieure
Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be e…
IIT Kanpur
Computer Science and Engineering course by Prof. Rajat Mittal.
MIT OpenCourseWare
This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams,…
The Hong Kong University of Science and Technology
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLA…
00:00:00 - Introduction 00:00:15 - Optimization 00:01:20 - Local Search 00:07:24 - Hill Climbing 00:29:43 - Simulated Annealing 00:40:43 - Linear Programming 00:51:03 - Constraint Satisfaction 00:59:17 - Node Consistency 01:03:03 - Arc Consistency 01:16:53 - Backtracking Search This course explores…
Harvard University
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
Ludwig-Maximilians-Universität München (LMU)
Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element met…
Columbia University
Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
IBM
Covers Decision Optimization, Mathematical Programming, Operational Research.
JetBrains
Unlock the real power of Python with NumPy - the essential library behind data science, AI, and scientific computing. In this hands-on course, you’ll quickly go from basic array operations to writing fast, efficient code used in real data workflows. Learn by doing: you’ll practice inside a professi…
This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-value problems; network flows; and optimization. View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at…
University of Colorado Boulder
This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal solutions to problems arising from domains such as resource allocation, scheduling, task assignment, and…
MIT OpenCourseWare
This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include Navier-Stokes; direct and iterative methods for linear systems; finite differences for elliptic, parabolic and hyperbolic equations; Fourier decomposition, error…
MIT OpenCourseWare
16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes:…
University of Michigan
In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout…
MIT OpenCourseWare
This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualize…
IIT Kanpur
Basic courses-Sem 1 and 2 course by Prof. M.K. Kadalbajoo, Prof. P.B. Sunil Kumar, Prof. Rathish Kumar, Prof. V. Ra….
University of Colorado Boulder
Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python. Designed for beginners, no prior programming experience is required. We start with the basics and build up to powe…
