The Julia Programming Language Courses

User-Defined Functions in Julia - Week 2 Lesson 3

Learn to create and use custom functions in Julia, enhancing your programming skills with practical examples and essential debugging techniques.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Modeling Climate Change with MARGO - Lecture 25

Explore climate change modeling using Julia, featuring MARGO for optimization, inverse problem solving, and policy analysis. Learn computational approaches to address global warming challenges.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Discrete and Continuous Mathematics - MIT Computational Thinking Spring 2021 - Lecture 14

Explore discrete and continuous mathematics, bridging concepts through indexing, function evaluation, area calculation, and random walks in computational thinking.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Random Walks II - Lecture 13

Explore random walks, Pascal's triangle, and probability distributions using Julia programming. Learn to implement time evolution of probabilities and understand cumulative sums in computational thinking.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Random Walks in Computational Thinking - Lecture 12

Explore random walks in computational thinking, covering visualization, Julia concepts, benchmarking, and advanced topics like mutable structs and type parameters.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Random Variables as Types - Lecture 11

Explore random variables as types in Julia programming, covering Gaussian distributions, sampling, abstract types, and generic programming for probability distributions.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Modeling with Stochastic Simulation - Lecture 10

Explore stochastic simulation modeling using Julia, covering individual-based models, failure visualization, string interpolation, Bernoulli variables, and running simulations with practical examples.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Sampling and Random Variables in Julia - Lecture 9

Explore random sampling, probability distributions, and data visualization techniques using Julia, covering topics from basic coin tosses to complex probability densities and histogram normalization.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Principal Component Analysis - Lecture 8

Explore Principal Component Analysis: from matrix rank to SVD. Learn to measure data cloud size, understand correlated data, and navigate high-dimensional spaces using statistical techniques.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Inverses and Newton's Method in Computational Thinking - Lecture 5

Explore inverses and Newton's method in computational thinking, covering linear transformations, matrix multiplication, and practical implementations in Julia programming language.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Transformations - Composability and Linearity in Computational Thinking - Lecture 4

Explore composability and linearity in transformations, focusing on image processing applications and advanced Julia programming techniques for vector-valued functions and linear/nonlinear transformations.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Transformations and Automatic Differentiation in Computational Thinking - Lecture 3

Explore transformations and automatic differentiation in Julia, covering linear and non-linear transformations, function types, and applications in machine learning, with practical examples and visualizations.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Transforming Images and Image Processing Techniques - Lecture 2

Explore image transformation techniques using Julia, including downsampling, linear combinations, convolutions, and filters. Learn about complexity, GPUs, and data structures in computational thinking.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Introduction to Arrays and Images in Computational Thinking - Lecture 1

Explore computational thinking through image manipulation and array operations in Julia, with hands-on examples and an introduction to abstraction concepts.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Matrix Calculus for Linear Algebra - MIT 18.06 Spring 2020

Comprehensive exploration of matrix calculus, covering gradients, Jacobians, and advanced concepts. Ideal for those seeking a deep understanding of mathematical foundations in linear algebra.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video