Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...

Accelerate Learning has published a new guide to help K-12 educators implement the Mathematics Framework for California Public Schools. The free guide, "Building the New California Math Classroom," is ...

Find out how and why mathematics is used in microeconomics, its limitations, and the math skills that economics students need.

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Federal data shows post-pandemic student math scores are still down. Maine education officials are responding with a new effort to show students that math has real-world relevance.

Abstract: This book fills a gap in the existing literature for a serious presentation of numerical linear algebra that is accessible to undergraduates who have taken a basic course in linear algebra.

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module ...

Across the country this fall, millions of college students are walking into math classrooms worried about their future — perhaps with good reason. For decades, mathematics — particularly college ...

Math 307 is a theoretical course in linear algebra, geared primarily for students majoring in mathematics, mathematics and physics, and applied mathematics. (Although everyone is welcome, if you're ...

The video tutorials address key 9th-grade algebra topics, including quadratic functions, linear equations, factoring, and variable expressions. Visual aids accompany each concept to make abstract ...

View the schedule for this year's observance of Rev. Dr. Martin Luther King Jr. Day, centered on Sunday and Monday, Jan. 18–19. In 2025, Bates social media shared more than a thousand of posts. Here ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...