Introduction to Computational Thinking (Fall 2020) (M-I-T)

An overview of modern climate modeling (M-I-T)

Analysing Covid-19 data (M-I-T)

Arrays: Slices and views (M-I-T)

Basics of arrays in Julia (M-I-T)

Billiard models and event-driven simulations (M-I-T)

Building an ocean model from scratch (M-I-T)

Closing remarks (M-I-T)

Computational thinking illustrated (M-I-T)

Convolutions in image processing (M-I-T)

Image seam reminiscing (M-I-T)

Convolutions in the real world (M-I-T)

Introduction to climate modeling (M-I-T)

Convolutions on GPUs (M-I-T)

Introduction to DataFrames (M-I-T)

Defining new types (M-I-T)

Introduction to macros (M-I-T)

Environments for programming with Julia (M-I-T)

Introspection (M-I-T)

Everybody talks about R0 (M-I-T)

Iterative numerical schemes for Poisson and Laplace (M-I-T)

Evolution in time and space: Advection and diffusion in 1D (M-I-T)

Multigrid (M-I-T)

First taste of abstraction with arrays (M-I-T)

Nonlinear climate dynamics and Snowball Earth (M-I-T)

Floating-point arithmetic (M-I-T)