Numerical Methods Courses

Hausdorff Center for Mathematics

Parametric PDEs - Numerical Methods for Forward UQ and Surrogate Modelling - Part I

Explore numerical methods for uncertainty quantification in parametric PDEs, covering surrogate modeling, stochastic collocation, and adaptive multilevel approaches for efficient forward UQ.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Parametric PDEs - Numerical Methods for Forward UQ and Surrogate Modelling - Part III

Explore advanced adaptive multilevel approaches and a posteriori error estimation for parametric PDEs with uncertain inputs in forward uncertainty quantification.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

University of Alberta;  Alberta Machine Intelligence Institute

Sample-based Learning Methods

44 ratings

Explore sample-based learning methods in reinforcement learning, including Monte Carlo, temporal difference, and Dyna. Learn to estimate value functions, implement algorithms, and improve sample efficiency.

• Coursera
• 22 hours 16 minutes
• Self-Paced
• Paid Course

Construction Management Project Delivery Methods & Contracts

33 ratings

Explore project delivery methods, contracts, design collaboration, and construction management processes. Learn to analyze risks, make informed decisions, and navigate the exciting challenges of construction projects.

• Coursera
• 7 hours 39 minutes
• Self-Paced
• Paid Course

Quantitative Social Science Methods

1 rating

First course for incoming Harvard Government Department PhD students; also taken by students in other departments, and students elsewhere through the Harvard Extension School. Instructor: Gary King.

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

New Search Methods for Primitive and Intelligent Life Beyond Earth

Explore novel techniques for detecting primitive and intelligent life beyond Earth, from our solar system to distant stars, and discuss the implications for our cosmic understanding.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Introduction to Lean Six Sigma Methods

9 ratings

This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors.

• MIT OpenCourseWare
• 9 hours
• Self-Paced
• Free Video

The Human Factors of Formal Methods - Stanford Seminar

1 rating

Exploring human-centered approaches to improve formal methods' usability in software development, addressing cognitive challenges and misconceptions to enhance adoption by non-experts.

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

Stanford CS229 - Machine Learning - Summer 2019 - Kernel Methods & Support Vector Machine

Explore kernel methods and Support Vector Machines in machine learning, focusing on advanced techniques for data classification and pattern recognition in complex datasets.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Deep Learning Methods for Electrocardiograms and Echocardiograms

Explore cutting-edge deep learning methods for ECG and echocardiogram analysis, outperforming traditional algorithms and offering insights into cardiovascular imaging interpretation.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Positive Psychology: Character, Grit and Research Methods

1240 ratings at Coursera

Explore research methods in Positive Psychology, focusing on character and grit. Learn to develop hypotheses, understand validity, and interpret empirical studies with leading experts.

• Coursera
• 23 hours 31 minutes
• Self-Paced
• Paid Course

Ensemble Methods in Python

1 rating

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

4 ratings

This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Instructional Methods in Health Professions Education

546 ratings at Coursera

Enhance teaching skills for health professionals through interactive learning, covering theory, methods, and applied techniques for effective instruction across various stages and learners.

• Coursera
• 21 hours
• Self-Paced
• Paid Course