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The Role of Mathematics in Education

Ask a Tech Teacher

The Role of Mathematics in Education: What Professions You Can Get in the Future Have you ever found yourself pondering the real-world applications of those algebraic formulas or geometric theorems you spent hours trying to decipher in school? There you can get advice and solve various mathematical problems in college.

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micro:bit Projects Coded with Python

User Generated Education

I have a strong emphasis with a few groups of my gifted students in integrating physical computing into my instructional activities. I’ve discussed the benefits of physical computing in Scratch and Makey Makey Across the Curriculum. Graph points on the coordinate plane to solve real-world and mathematical problems.

educators

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CoderZ Feeds into the Five Fastest Growing STEM Careers

CoderZ

As industries increasingly rely on technology-driven solutions, many careers in science, technology, engineering, and mathematics (STEM) fields are experiencing a high rate of growth. A solid foundation in STEM and computer science is essential for the future.

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Unveiling Julia: A Quantum Leap in High-Performance Coding Languages

STEMe

Shrewsbury, MA Ever heard of a programming language that is so versatile, that it has the speed of C with the dynamism of Ruby, or with true macros like Lisp, but with obvious, familiar mathematical notation like Matlab? This makes Julia perfect for demanding tasks like scientific computing, data analysis, and machine learning.

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Creating software that works for everyone

Futurum

APP — a computer program used to perform a specific function (e.g., SOFTWARE — the set of programs and other information that enables a computer or app to function. USER INTERFACE — the place where an end user interacts with a computer (e.g., finance, manufacturing, agriculture, etc.). • a webpage or app display).

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What do Data Scientists do?

Smore Science

What is Data Science? Let’s begin by explaining what data science is. Simply put, data science is the study of data. First, the data is chaotic and messy. Data science processes develop meaning from that data. Data science chooses and changes raw data into facts.