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  • Matrix
Basic Vector Space Methods in Signal and Systems Theory
Unrestricted Use
CC BY
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Linear algebra, vector space methods, and functional analysis are a powerful setting for many topics in engineering, science (including social sciences), and business. This collection starts with the simple idea of a matrix times a vector and develops tools and interpretations for many signal processing and system analysis and design methods.

Subject:
Business and Communication
Material Type:
Full Course
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
C. Sidney Burrus
Date Added:
02/16/2011
Biology
Unrestricted Use
CC BY
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Biology is designed for multi-semester biology courses for science majors. It is grounded on an evolutionary basis and includes exciting features that highlight careers in the biological sciences and everyday applications of the concepts at hand. To meet the needs of today’s instructors and students, some content has been strategically condensed while maintaining the overall scope and coverage of traditional texts for this course. Instructors can customize the book, adapting it to the approach that works best in their classroom. Biology also includes an innovative art program that incorporates critical thinking and clicker questions to help students understand—and apply—key concepts.

Subject:
Life Science
Biology
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
08/22/2012
Biology, Animal Structure and Function, The Animal Body: Basic Form and Function, Animal Primary Tissues
Conditional Remix & Share Permitted
CC BY-NC
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By the end of this section, you will be able to:Describe epithelial tissuesDiscuss the different types of connective tissues in animalsDescribe three types of muscle tissuesDescribe nervous tissue

Subject:
Applied Science
Life Science
Biology
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
07/10/2017
Building a Stronger (Sweeter) New Orleans
Read the Fine Print
Educational Use
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Students create and analyze composite materials with the intent of using the materials to construct a structure with optimal strength and minimal density. The composite materials are made of puffed rice cereal, marshmallows and chocolate chips. Student teams vary the concentrations of the three components to create their composite materials. They determine the material density and test its compressive strength by placing weights on it and measuring how much the material compresses. Students graph stress vs. strain and determine Young's modulus to analyze the strength of their materials.

Subject:
Architecture and Design
Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Charisse Nelson
Sarah Wigodsky
Date Added:
10/14/2015
Integrating Information Technology to study Mathematics
Conditional Remix & Share Permitted
CC BY-SA
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This course is is a collection of resources on OER Commons curated for Adult Education instructors and students to show the integration of math into the Information Technology Career Sector. Students will analyze and practice specific skills related to being in IT as well as develop math skills. Modules in this curriculum guide can be studied in any particular order as one does not necessarily build upon the other. Each includes the idea of building mathematical and logic skills required for programming and other IT related careers.

Subject:
Career and Technical Education
Mathematics
Material Type:
Teaching/Learning Strategy
Unit of Study
Author:
Lyn Michaud Smith
Date Added:
05/30/2018
Linear Algebra 1 (English)
Conditional Remix & Share Permitted
CC BY-NC-SA
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Welcome to this online course on Linear Algebra.

Linear Algebra is a branch of mathematics that plays a fundamental to role in many parts of Science and Engineering, such as Quantum Mechanics, Coding Theory, Signal Processing and Control Theory .

As Linear Algebra is a common component of many university programmes in Science or Engineering, this course can be used as additional study or preparation for on campus courses on Linear Algebra. Please note that we cannot guarantee that this course can replace an on campus course.

The course has no preliminaries other than basic high school mathematics. Furthermore, the course is self contained; it can be studied without extra resources. Nevertheless, for each topic you can find some references to standard literature that you can consult for further reading.

Subject:
Algebra
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. Bernhard Meulenbroek
Date Added:
08/09/2019
Linear Algebra: Matrices: Reduced Row Echelon Form 3
Conditional Remix & Share Permitted
CC BY-NC-SA
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This 12-minute video lesson provides another example of solving a system of linear equations by putting an augmented matrix into reduced row echelon form. [Linear Algebra playlist: Lesson 32 of 143]

Subject:
Algebra
Material Type:
Lecture
Provider:
Khan Academy
Provider Set:
Khan Academy
Author:
Salman Khan
Date Added:
02/20/2011
Number and Quantity: Vector and Matrix Quantities
Conditional Remix & Share Permitted
CC BY-NC-SA
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This site teaches Vector and Matrix Quantities to High Schoolers through a series of 2195 questions and interactive activities aligned to 16 Common Core mathematics skills.

Subject:
Mathematics
Material Type:
Activity/Lab
Interactive
Provider:
Khan Academy
Provider Set:
Khan Academy
Date Added:
01/09/2015
VA:Pr6.1.HSI-- Art Evidence Choice Matrix
Conditional Remix & Share Permitted
CC BY-NC
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Evidence Choice Matrix
HS Proficient

Performance Standard
VA:Pr6.1.HSI - Analyze and describe the impact that an exhibition or collection has on personal awareness of social, cultural, or political beliefs and understandings.

This matrix can be used to provide students with some options as to the ways in which they can provide evidence of learning toward a grade level standard in art.

Subject:
Arts and Humanities
Material Type:
Activity/Lab
Assessment
Homework/Assignment
Author:
Emily Titterton
Date Added:
09/13/2017