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Optimization Methods in Business Analytics
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course will examine optimization through a business analytics lens. Students will learn the theoretical aspects of linear programming, basic Julia programming, and proficiency with linear and nonlinear solvers. Theoretical components of the course are made approachable and require no formal background in linear algebra or calculus.
The primary focus of the course is optimization modeling. As a six-week subject, it covers about half of the material of the MIT OpenCourseWare version, 15.053 Spring 2013. The topics of the 2013 subject were optimization modeling, algorithms, and theory.
As part of the Open Learning Library (OLL), this course is free to use. You have the option to sign up and enroll if you want to track your progress, or you can view and use all the materials without enrolling. Resources on OLL allow learners to learn at their own pace while receiving immediate feedback through interactive content and exercises.

Subject:
Business and Communication
Management
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Orlin, James
Date Added:
02/01/2021
Ordinary Differential Equations
Unrestricted Use
CC BY
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This book consists of ten weeks of material given as a course on ordinary differential equations (ODEs) for second year mathematics majors at the University of Bristol. It is the first course devoted solely to differential equations that these students will take.

Subject:
Mathematics
Material Type:
Textbook
Author:
Stephen Wiggins
Date Added:
12/12/2017
Proportional Reasoning and the Bee Waggle Dance
Unrestricted Use
CC BY
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Math in Real Life (MiRL) supports the expansion of regional networks to create an environment of innovation in math teaching and learning.  The focus on applied mathematics supports the natural interconnectedness of math to other disciplines while infusing relevance for students.  MiRL supports a limited number of networked math learning communities that focus on developing and testing applied problems in mathematics.  The networks help math teachers refine innovative teaching strategies with the guidance of regional partners and the Oregon Department of Education.

Subject:
Mathematics
Material Type:
Activity/Lab
Author:
Tom Thompson
Date Added:
08/10/2020
Quantifying Uncertainty
Conditional Remix & Share Permitted
CC BY-NC-SA
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The ability to quantify the uncertainty in our models of nature is fundamental to many inference problems in Science and Engineering. In this course, we study advanced methods to represent, sample, update and propagate uncertainty. This is a "hands on" course: Methodology will be coupled with applications. The course will include lectures, invited talks, discussions, reviews and projects and will meet once a week to discuss a method and its applications.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Ravela, Sai
Date Added:
09/01/2012
Reactive Transport in the Subsurface
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course teaches principles of flow, transport, and reaction processes in the natural subsurface.

Subject:
Career and Technical Education
Chemistry
Environmental Studies
Physical Geography
Physical Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
Li Li
Date Added:
10/07/2019
Should Sugary Drinks be Taxed?
Conditional Remix & Share Permitted
CC BY-NC
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Math in Real Life (MiRL) supports the expansion of regional networks to create an environment of innovation in math teaching and learning.  The focus on applied mathematics supports the natural interconnectedness of math to other disciplines while infusing relevance for students.  MiRL supports a limited number of networked math learning communities that focus on developing and testing applied problems in mathematics.  The networks help math teachers refine innovative teaching strategies with the guidance of regional partners and the Oregon Department of Education.

Subject:
Mathematics
Material Type:
Homework/Assignment
Author:
Mark Freed
Date Added:
08/20/2020
Technical Mathematics
Conditional Remix & Share Permitted
CC BY-NC-SA
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Short Description:
This developmental-level mathematics textbook is intended for career-technical students. Order a print copy: https://tinyurl.com/techmath1e

Word Count: 32112

ISBN: 978-1-63635-075-2

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Mathematics
Material Type:
Textbook
Author:
Morgan Chase
Date Added:
01/24/2021
Technical Math with Algebra
Conditional Remix & Share Permitted
CC BY-NC-SA
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Short Description:
This developmental-level mathematics textbook is intended for career-technical students.

Long Description:
This developmental-level mathematics textbook is intended for career-technical students. The textbook introduces the fundamental concepts of general mathematics, measurement, geometry, algebra, and problem solving.

Word Count: 92487

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Subject:
Mathematics
Material Type:
Textbook
Date Added:
01/26/2024
Topics in Applied Mathematics: Waves and Imaging
Conditional Remix & Share Permitted
CC BY-NC-SA
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This class covers the mathematics of inverse problems involving waves, with examples taken from reflection seismology, synthetic aperture radar, and computerized tomography.

Subject:
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Demanet, Laurent
Date Added:
09/01/2015
What is the Earth's Average Temperature?
Conditional Remix & Share Permitted
CC BY-NC-SA
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This short, pedagogically flexible activity guides students to answer six questions about the radiative energy budget of the earth as a whole. The activity gives students practice applying basic physical principles to observations and raises a question that can motivate investigation of the greenhouse effect.

Subject:
Geology
Mathematics
Physical Science
Physics
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Dave Dempsey
Date Added:
01/20/2023