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.
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.
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.
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.
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.
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.
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.
Data Wrangling Techniques in Julia - Part 2 - Tom Kwong
Explore advanced data wrangling techniques in Julia, covering reading, cleaning, tidying, analyzing, and visualizing data using two sample datasets for practical application.
Data Wrangling Techniques in Julia - Part 1 - Tom Kwong
Comprehensive overview of data wrangling in Julia, covering ecosystem, workflow stages (read, clean, tidy, analyze, visualize), and DataFrames.jl resources for effective data science practices.
Understanding Structure in Data - Week 3
Explore data structure analysis using Julia, covering matrix rank, data visualization, PCA, and building a simple recommendation engine. Gain practical insights into advanced data science concepts.
Structure and Matrices in Julia Programming - Lecture 3
Explore matrices, sparse structures, and SVD for image compression and computational thinking in Julia, with practical applications in machine learning and linear algebra.
Adventures in Computing - From Punch Cards to Differential Equations
Prof Linda Petzold explores her journey in computational science, from punch cards to modern differential equations, highlighting key developments in numerical methods, stochastic simulations, and their applications in various fields.
State of Julia - JuliaCon 2020
Comprehensive overview of Julia's progress, highlighting key developments in multithreading, infrastructure, ecosystem, and future plans, with insights on challenges and upcoming features.
DFTK - A Julian Approach for Simulating Electrons in Solids
Introducing DFTK: A Julia package for density-functional theory simulations, offering flexibility for practical calculations and mathematical development in electronic structure research.
Loop Analysis and Vectorization in Julia - JuliaCon 2020
Explore LoopVectorization.jl for efficient loop representation, cost modeling, and vectorization strategies in Julia, enhancing performance through intra-core parallelism and SIMD operations.
Next Generation 2D Hydraulic Modelling
Explore advancements in 2D hydraulic modeling, comparing 1D and 2D approaches through case studies and discussing pros and cons for enhanced reliability and efficiency in open channel simulations.
Maximising the Accuracy of Hydraulic Models
Explore factors influencing hydraulic model accuracy, from input data to computational solvers. Learn to maximize model reliability and confidence, especially when calibration data is unavailable.
SWMM Model Management in ICM
Discover how InfoWorks ICM enhances SWMM modeling with database tracking, SQL benefits, and efficient simulation management, saving time and reducing data loss for storm, sewer, and flood modeling professionals.
BinaryBuilder.jl - The Subtle Art of Binaries That Just Work
Explore BinaryBuilder.jl for compiling binary libraries across Julia platforms. Learn to create build recipes, use the wizard, and contribute to Yggdrasil. Hands-on experience included.
Developing Julia Packages
Comprehensive guide to creating, testing, and contributing Julia packages. Covers development environments, continuous integration, version control, and open-source collaboration.
Interval Methods for Scientific Computing in Julia
Explore interval methods for scientific computing in Julia, focusing on constraint propagation, global optimization, and root finding using IntervalConstraintProgramming.jl and IntervalArithmetic.jl packages.