MathWorks Teaching Resources's repositories
Morphology-in-Image-Processing
Interactive courseware module that introduces the fundamental morphological operations used in image processing.
Fourier-Analysis_es
Aprende análisis de Fourier utilizando live scripts y aplicaciones.
Numerical-Integration
Interactive courseware module that addresses the fundamentals of numerical integration taught in mathematics courses.
Fourier-Analysis
Learn Fourier analysis using live scripts and apps.
Biosciences-Statistical-Methods
This is an interactive courseware module for use in introductory biology classrooms. This module teaches the basics of statistics using a biological dataset. It includes a number of live scripts.
Biosciences-Genetics
This is an interactive courseware module for use in introductory biology classrooms. This module teaches the basics of genetics using biological real datasets. It includes several live scripts.
Density-Functional-Theory
Fundamentals and Applications of Density Functional Theory with Interactive Live Scripts and Intuitive Codes
Biosciences-Image-Processing
This is an interactive courseware module for use in introductory biology classrooms. This module teaches the basics of image processing using biological images including an image of plants and images of blood smears as viewed under a microscope. It includes several live scripts.
Biosciences-Machine-Learning
This is an interactive courseware module for use in introductory biology classrooms. This is a module that teaches students basic machine learning algorithms and how to apply them to biological datasets. It includes several live scripts.
Double-Slit-and-Scattering-Two-Quantum-Particles
Live Script contains simulations and visualizations of quantum mechanics problems such as: double slit experiment and scattering problem of two quantum particles off each other, providing examples on how computation can help teaching basics of quantum mechanics.
Intro-To-Engineering
This curriculum module contains interactive MATLAB® live scripts introducing fundamental concepts of modern engineering using Arduino Hardware. The whole module is designed to explore these concepts using hardware using Arduino. You will explore the signals, data analysis, sensing, control, and Internet of Things (IoT).
Transfer-Function-Analysis-of-Dynamic-Systems_jp
Transfer Function Analysis of Dynamic Systemsを日本語化したもの
mass-spring-damper-systems_jp
mass-spring-dumper-systemsの日本語版リポジトリ
Model-Predictive-Control-virtual-lab
This virtual lab contains interactive exercises to study the design of linear and adaptive model predictive controllers (MPCs) for implementing a vehicle steering control system.
Education-Design-Electric-Active-Filter
Teaching materials to experience designing active filter circuits using MATLAB.
Phase-Plane-and-Slope-Field
Apps for qualitative ODE analysis.
regression-basics_jp
Japanese version of "regression-basics" 回帰（基礎）の日本語レポジトリ
deep-learning-for-image-processing
Teaching and learning deep learning in the context of digital image processing
teaching-ai-in-the-classroom-Introduction
Introducing artificial intelligence to freshmen with an image classification demo using convolutional neural networks
statistics-and-probability_jp
Descriptive Statistics and Probability Distributionsの日本語版リポジトリ Japanese version of a published repository "Descriptive Statistics and Probability Distributions"
Kalman-filter-virtual-lab
Virtual lab to study Kalman filter design with interactive exercises
Low-Lying-Spectrum-Hydrogen-Helium-electrons
Live Script shows how to solve Hydrogen and Helium atom low-laying spectrum numerically. The final section is dedicated to constructing many-body wavefucntion obeying Pauli principle for 3 interacting electrons, first with, and then, without decomposing three-body coordinate wavefunctions into the product of single-particle orbitals.
Electrophysiology-Tutorial-for-Neuroscience
This is a tutorial for key data analysis steps used by neuroscientists - filtering, spike extraction, PCA, clustering, and spectral analysis. It applies to neuroscientists who deal with spikes, LFPs, EEGs and EMGs
Single-Layer-Multilayer-Perceptrons-Demo
This MATLAB® demo introduces fundamental concepts of neural networks in an intuitive and hands-on manner, from single-layer neural networks and corresponding learning algorithms, to multilayer perceptrons. It is meant to be used in class or by those interested in an intuitive understanding of these theoretical concepts.
Moving-Frames
Curriculum modules with interactive live scripts to illustrate various examples and applications of the moving frame methods
Deep-Learning-for-Real-Time-Top-Jet-Tagging
End-to-end MATLAB Deep Learning workflow for Real-Time Top Quark Jet Tagging is presented