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Welcome and logistics of the course

Running the code

Setting up Julia

Quick introduction to the professors

Administrative details for MIT students

Computer Science and Computational Science Working Together

Lecture 1: Images as examples of data all around us

Data: Images (as an example of data)

Input and Visualize: loading and viewing an Image (in Julia)

Capturing an image from your own camera

Inspecting your data

Process: Modifying an image

Model: Creating synthetic images

Output: Saving an image to a file

Computer science: Arrays

Julia: constructing arrays

Pluto: Interactivity using sliders

Introduction to Abstraction

First Taste of Abstraction

Description:

Dive into the world of computational thinking with this introductory lecture from MIT's Spring 2021 course. Explore the fundamentals of arrays and image processing using the Julia programming language. Learn how to set up Julia, load and visualize images, capture images from your camera, and modify them programmatically. Discover the power of arrays in computer science and how to construct them in Julia. Get hands-on experience with interactive tools like Pluto and gain insights into abstraction principles. Perfect for those looking to blend computer science with computational science and develop a strong foundation in data manipulation and analysis.

Introduction to Arrays and Images in Computational Thinking - Lecture 1

The Julia Programming Language

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#Programming #Programming Languages #Julia #Computer Science #Data Science #Data Visualization #Artificial Intelligence #Computer Vision #Image Processing #Computational Thinking