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Matrix Algebra with Computational Applications
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Matrix Algebra with Computational Applications is a collection of Open Educational Resource (OER) materials designed to introduce students to the use of Linear Algebra to solve real-world problems. These materials were developed specifically for students and instructors working in a "flipped classroom" model that emphasizes hands-on problem-solving activities during class meetings, with students watching lectures and completing readings and assignments outside of the classroom. To access the Matrix Algebra with Computational Applications website, please go to http://colbrydi.github.io/MatrixAlgebra

Subject:
Algebra
Mathematics
Material Type:
Textbook
Provider:
Michigan State University
Author:
Dirk Colbry
Date Added:
05/11/2021
Matrix Calculus for Machine Learning and Beyond
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CC BY-NC-SA
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We all know that calculus courses such as 18.01 Single Variable Calculus and 18.02 Multivariable Calculus cover univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next big step, “matrix calculus” and calculus on arbitrary vector spaces.
This class covers a coherent approach to matrix calculus showing techniques that allow you to think of a matrix holistically (not just as an array of scalars), generalize and compute derivatives of important matrix factorizations and many other complicated-looking operations, and understand how differentiation formulas must be reimagined in large-scale computing.

Subject:
Algebra
Calculus
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Edelman, Alan
Johnson, Steven
Date Added:
01/01/2023
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
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CC BY-NC-SA
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Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

Subject:
Algebra
Applied Science
Career and Technical Education
Electronic Technology
Engineering
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Strang, Gilbert
Date Added:
02/01/2018
Microfluidic Devices and Flow Rate
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Educational Use
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Students obtain a basic understanding of microfluidic devices, how they are developed and their uses in the medical field. After conducting the associated activity, they watch a video clip and learn about flow rate and how this relates to the speed at which medicine takes effect in the body. What they learn contributes to their ongoing objective to answer the challenge question presented in lesson 1 of this unit. They conclude by solving flow rate problems provided on a worksheet.

Subject:
Algebra
Applied Science
Engineering
Life Science
Mathematics
Physical Science
Physics
Material Type:
Lesson Plan
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Michelle Woods
Date Added:
09/18/2014
Middle School Math - Grade 7 (Student's Edition)
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CC BY-NC-SA
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A work in progress, CK-12's Math 7 explores foundational math concepts that will prepare students for Algebra and more advanced subjects. Material includes decimals, fractions, exponents, integers, percents, inequalities, and some basic geometry.

Subject:
Algebra
Functions
Geometry
Mathematics
Material Type:
Textbook
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Kershaw, Jen
Date Added:
10/04/2010
Miles to Kilometers
Unrestricted Use
CC BY
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In this task students are asked to write two expressions from verbal descriptions and determine if they are equivalent. The expressions involve both percent and fractions. This task is most appropriate for a classroom discussion since the statement of the problem has some ambiguity.

Subject:
Algebra
Mathematics
Material Type:
Activity/Lab
Provider:
Illustrative Mathematics
Provider Set:
Illustrative Mathematics
Author:
Illustrative Mathematics
Date Added:
05/01/2012
The Missing Coefficient
Unrestricted Use
CC BY
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The purpose of this task is to emphasize the use of the Remainder Theorem (a discussion of which should obviously be considered as a prerequisite for the task) as a method for determining structure in polynomial in equations, and in this particular instance, as a replacement for division of polynomials.

Subject:
Algebra
Mathematics
Material Type:
Activity/Lab
Provider:
Illustrative Mathematics
Provider Set:
Illustrative Mathematics
Author:
Illustrative Mathematics
Date Added:
05/01/2012
Mixing Candies
Unrestricted Use
CC BY
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This task assumes students are familiar with mixing problems. This approach brings out different issues than simply asking students to solve a mixing problem, which they can often set up using patterns rather than thinking about the meaning of each part of the equations.

Subject:
Algebra
Mathematics
Material Type:
Activity/Lab
Provider:
Illustrative Mathematics
Provider Set:
Illustrative Mathematics
Author:
Illustrative Mathematics
Date Added:
05/01/2012
Mixing Fertilizer
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CC BY
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The problem deals with a rational expression which is built up from operations arising naturally in a context: adding the volumes of the fertilizer and the water, and dividing the volume of the fertilizer by the resulting sum. Thus it encourages students to see the expression as having meaning in terms of numbers and operations, rather than as an abstract arrangement of symbols.

Subject:
Algebra
Mathematics
Material Type:
Activity/Lab
Provider:
Illustrative Mathematics
Provider Set:
Illustrative Mathematics
Author:
Illustrative Mathematics
Date Added:
05/01/2012
Modeling Situations With Linear Equations
Only Sharing Permitted
CC BY-NC-ND
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This lesson unit is intended to help you assess how well students use algebra in context, and in particular, how well students: explore relationships between variables in everyday situations; find unknown values from known values; find relationships between pairs of unknowns, and express these as tables and graphs; and find general relationships between several variables, and express these in different ways by rearranging formulae.

Subject:
Algebra
Mathematics
Material Type:
Assessment
Lesson Plan
Provider:
Shell Center for Mathematical Education
Provider Set:
Mathematics Assessment Project (MAP)
Date Added:
04/26/2013
Modern Algebra
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CC BY-NC-SA
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This undergraduate course focuses on traditional algebra topics that have found greatest application in science and engineering as well as in mathematics.

Subject:
Algebra
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
McKernan, James
Date Added:
02/01/2013
Modi-FLIED
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CC BY-NC
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Students will breed fruit flies through several generations and record their data using mathematical models in order to demonstrate the inheritance of trait variations.

Subject:
Algebra
Genetics
Life Science
Mathematics
Measurement and Data
Numbers and Operations
Ratios and Proportions
Material Type:
Unit of Study
Provider:
Lane County STEM Hub
Provider Set:
Content in Context SuperLessons
Author:
Courtney Stitt
Jessica Johnson
Date Added:
06/27/2017
Multi-Step Equations
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CC BY-NC
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In this seminar you will learn how to complete multiple step equations. You will apply techniques you have learned about inverse operations to solve for a missing variable. You will use the techniques learned in this seminar to verify solutions to various other types of problems as you move forward. When solving multiple step equations, you will identify which operation to address first, which second, and so on, until you have the variable all alone and a solution for it. The best part? You can always substitute your answer into the original problem to make sure your answer is correct.StandardsCC.2.2.HS.D.8Apply inverse operations to solve equations or formulas for a given variable.

Subject:
Algebra
Mathematics
Material Type:
Lesson Plan
Author:
Tracy Rains
Date Added:
03/29/2018
Multiplying Polynomials
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CC BY-NC
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In the world of mathematics you can always count on encountering problems involving multiplication. With polynomials, things are no different. It is imperative to look at various types of multiplication problems since there are many different polynomials such as: monomials, binomials, trinomials, and more. This seminar covers the various forms of multiplication with these different types of polynomials.StandardsCC.2.2.HS.D.3Extend the knowledge of arithmetic operations and apply to polynomials.

Subject:
Algebra
Mathematics
Material Type:
Lesson Plan
Author:
Tracy Rains
Date Added:
04/03/2018
Multiplying and Dividing Rational Expressions
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CC BY-NC
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In this seminar you will learn what rational expressions are and how to work with them.  You will also be able to recognize real-world situations that involve rational expressions and how to apply the use of rational expressions to a variety of day-to-day situations.  You will come to understand strategies for taking complex situations and simplifying them in order to find solutions for them.StandardsCCSI: HS: Algebra: HSA-SSE.A. Interpret the structure of expressions.CCSI: HS: Algebra: HSA-SSE.B. Write expressions in equivalent forms to solve problems.

Subject:
Algebra
Mathematics
Material Type:
Lesson Plan
Author:
Tracy Rains
Date Added:
04/03/2018
Multivariable Calculus
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CC BY-NC-SA
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This course covers vector and multi-variable calculus. It is the second semester in the freshman calculus sequence. Topics include Vectors and Matrices, Partial Derivatives, Double and Triple Integrals, and Vector Calculus in 2 and 3-space.

Subject:
Algebra
Calculus
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Jerison, David
Mattuck, Arthur
Date Added:
02/01/2006
Multivariable Calculus
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This course covers vector and multi-variable calculus. It is the second semester in the freshman calculus sequence. Topics include vectors and matrices, partial derivatives, double and triple integrals, and vector calculus in 2 and 3-space.
MIT OpenCourseWare offers another version of 18.02, from the Spring 2006 term. Both versions cover the same material, although they are taught by different faculty and rely on different textbooks. Multivariable Calculus (18.02) is taught during the Fall and Spring terms at MIT, and is a required subject for all MIT undergraduates.

Subject:
Algebra
Calculus
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Auroux, Denis
Date Added:
09/01/2007