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Greg Mayer

Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject. At the start of this course we introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate applications of linear algebra and more complex algorithms for analyzing them.

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Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject. At the start of this course we introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate applications of linear algebra and more complex algorithms for analyzing them.

Later in this course you will later see how a system of linear equations can be represented in other ways, which can reduce problems involving linear combinations of vectors to approaches that involve systems of linear equations. Towards the end of the course we explore linear independence and linear transformations. They have an essential role throughout our course and in applications of linear algebra to many areas of industry, science, and engineering. __

What you'll learn

Upon completion of this course, learners will be able to:

  • Evaluate mathematical expressions to compute quantities that deal with linear systems
  • Characterize a linear system in terms of the number of solutions, and whether the system is consistent or inconsistent.
  • Apply elementary row operations to solve linear systems of equations.
  • Characterize a set of vectors in terms of linear combinations, their span, and how they are related to each other geometrically
  • Characterize a set of vectors and linear systems using the concept of linear independence.
  • Construct dependence relations between linearly dependent vectors.
  • Identify and construct linear transformations of a matrix.
  • Characterize linear transformations as onto and/or one-to-one.

What's inside

Learning objectives

  • Evaluate mathematical expressions to compute quantities that deal with linear systems
  • Characterize a linear system in terms of the number of solutions, and whether the system is consistent or inconsistent.
  • Apply elementary row operations to solve linear systems of equations.
  • Characterize a set of vectors in terms of linear combinations, their span, and how they are related to each other geometrically
  • Characterize a set of vectors and linear systems using the concept of linear independence.
  • Construct dependence relations between linearly dependent vectors.
  • Identify and construct linear transformations of a matrix.
  • Characterize linear transformations as onto and/or one-to-one.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops the foundation for a strong understanding of linear algebra concepts
Teaches fundamental concepts of linear algebra, providing a solid foundation in the subject
Emphasizes problem-solving techniques and computational methods, preparing learners for real-world applications of linear algebra
Introduces students to the basics of systems of linear equations, leading to a comprehensive understanding of the topic
Focuses on developing learners' ability to analyze and describe systems of linear equations, applicable in various fields
Taught by Greg Mayer, an experienced instructor with a strong track record in linear algebra education

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Linear Algebra I: Linear Equations with these activities:
Review of Matrix Operations and Properties
Reinforce your understanding of matrix operations and properties to lay a solid foundation for linear algebra.
Browse courses on Matrix Operations
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  • Go through your notes or textbooks to review the concepts of matrix operations (addition, subtraction, multiplication, transpose) and properties (determinants, inverses).
  • Solve practice problems to apply and strengthen your understanding of these operations and properties.
Tutorial on Solving Linear Systems Ax=b
Reinforce your understanding of solving linear systems Ax=b by following step-by-step tutorials.
Show steps
  • Search for tutorials on solving linear systems Ax=b (e.g., Khan Academy, Coursera, Udacity).
  • Watch the tutorials carefully, taking notes and making sure to understand each step.
  • Practice solving linear systems Ax=b using the methods explained in the tutorials.
Collaboration on solving linear equations
Engage with peers to discuss and solve linear equations, enhancing your understanding through collaboration.
Browse courses on Linear Equations
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  • Form study groups with peers.
  • Select practice problems or linear equations to solve.
  • Discuss and solve the problems together as a group.
  • Share different approaches and insights.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve linear systems using row operations
Familiarize yourself with elementary row operations to solve linear systems effectively.
Browse courses on Linear Systems
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  • Review the steps for performing elementary row operations (e.g., swapping rows, multiplying rows by constants, adding multiples of one row to another).
  • Practice applying elementary row operations to simplify linear systems.
  • Solve linear systems using row operations.
Project: Create a linear algebra cheat sheet
Challenge yourself by creating a cheat sheet that summarizes key concepts and formulas in linear algebra, reinforcing your understanding.
Browse courses on Linear Algebra
Show steps
  • Review the course materials to identify essential concepts and formulas in linear algebra.
  • Organize the concepts and formulas logically.
  • Create the cheat sheet using a visually appealing format.
  • Use the cheat sheet as a quick reference guide to refresh your memory.
Workshop on Linear Algebra Fundamentals
Attend a workshop to deepen your understanding of linear algebra, exploring advanced concepts beyond the course.
Browse courses on Linear Algebra
Show steps
  • Research and identify relevant linear algebra workshops.
  • Register for the workshop.
  • Actively participate in the workshop, taking notes and asking questions.
  • Apply the knowledge and techniques learned to solve problems and enhance your comprehension.
Mentor a student in introductory linear algebra
Solidify your understanding of linear algebra by mentoring a student, providing support, and clarifying concepts.
Browse courses on Linear Algebra
Show steps
  • Offer your services as a mentor through platforms or connect with students seeking help.
  • Communicate with the student to assess their needs and goals.
  • Prepare and deliver tailored explanations and guidance on linear algebra concepts.
  • Provide feedback and encourage the student's problem-solving skills.
Project: Develop a mathematical model using linear equations
Apply your knowledge of linear equations to a real-world scenario, fostering critical thinking and problem-solving skills.
Browse courses on Linear Equations
Show steps
  • Identify a problem or situation that can be mathematically modeled using linear equations.
  • Develop the mathematical model by setting up a system of linear equations.
  • Solve the system of linear equations using appropriate methods (e.g., Gaussian elimination, Cramer's rule).
  • Analyze the solution and interpret the results in the context of the original problem.

Career center

Learners who complete Linear Algebra I: Linear Equations will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
Quantitative Analysts use mathematical models to analyze financial data. They build financial models that help predict trends in the financial market. This course can help someone who wants to become a Quantitative Analyst because it provides a solid foundation in linear algebra, a branch of mathematics that is essential for building financial models.
Operations Research Analyst
Operations Research Analysts use mathematical models to solve problems in business and industry. They may work on projects such as improving the efficiency of a manufacturing process or optimizing the routing of delivery trucks. This course may be useful for someone who wants to become an Operations Research Analyst because it provides a foundation in linear algebra, a branch of mathematics that is essential for building mathematical models.
Data Scientist
Data Scientists use mathematical and statistical techniques to analyze data and extract insights from it. They may work on projects such as developing predictive models or identifying trends in customer behavior. This course may be useful for someone who wants to become a Data Scientist because it provides a foundation in linear algebra, a branch of mathematics that is essential for data analysis.
Software Engineer
Software Engineers design, develop, and maintain software applications. They may work on projects such as developing new features for a website or creating a mobile app. This course may be useful for someone who wants to become a Software Engineer because it provides a foundation in linear algebra, a branch of mathematics that is used in computer graphics and other areas of software development.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. They may work for investment banks, hedge funds, or other financial institutions. This course may be useful for someone who wants to become a Financial Analyst because it provides a foundation in linear algebra, a branch of mathematics that is used in financial modeling.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They may work for insurance companies, pension funds, or other financial institutions. This course may be useful for someone who wants to become an Actuary because it provides a foundation in linear algebra, a branch of mathematics that is used in risk assessment.
Economist
Economists use economic data to analyze economic trends and make predictions about the future. They may work for government agencies, think tanks, or other organizations. This course may be useful for someone who wants to become an Economist because it provides a foundation in linear algebra, a branch of mathematics that is used in economic modeling.
Statistician
Statisticians use statistical techniques to analyze data and extract insights from it. They may work for government agencies, businesses, or other organizations. This course may be useful for someone who wants to become a Statistician because it provides a foundation in linear algebra, a branch of mathematics that is used in statistical modeling.
Market Researcher
Market Researchers use research methods to collect and analyze data about consumer behavior. They may work for marketing firms, advertising agencies, or other organizations. This course may be useful for someone who wants to become a Market Researcher because it provides a foundation in linear algebra, a branch of mathematics that is used in data analysis.
Business Analyst
Business Analysts use data to analyze business processes and make recommendations for improvement. They may work for consulting firms, corporations, or other organizations. This course may be useful for someone who wants to become a Business Analyst because it provides a foundation in linear algebra, a branch of mathematics that is used in data analysis.
Consultant
Consultants provide advice and guidance to businesses and organizations. They may work on projects such as developing new strategies, improving operations, or implementing new technologies. This course may be useful for someone who wants to become a Consultant because it provides a foundation in linear algebra, a branch of mathematics that is used in data analysis and problem solving.
Teacher
Teachers educate students at all levels, from elementary school to college. They may teach a variety of subjects, including math, science, and social studies. This course may be useful for someone who wants to become a Teacher because it provides a foundation in linear algebra, a branch of mathematics that is taught in high school and college.
Insurance Underwriter
Insurance Underwriters assess risk and determine insurance rates. They may work for insurance companies or insurance brokerages. This course may be useful for someone who wants to become an Insurance Underwriter because it provides a foundation in linear algebra, a branch of mathematics that is used in risk assessment.
Risk Manager
Risk Managers identify, assess, and manage risks for businesses and organizations. They may work for corporations, insurance companies, or other organizations. This course may be useful for someone who wants to become a Risk Manager because it provides a foundation in linear algebra, a branch of mathematics that is used in risk assessment.
Auditor
Auditors examine financial records to ensure accuracy and compliance with laws and regulations. They may work for accounting firms, government agencies, or other organizations. This course may be useful for someone who wants to become an Auditor because it provides a foundation in linear algebra, a branch of mathematics that is used in financial analysis.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Linear Algebra I: Linear Equations.
Provides a comprehensive and rigorous introduction to linear algebra, with a strong focus on applications in science and engineering. It is suitable for students with a strong mathematical background.
Provides a comprehensive introduction to linear algebra, covering the fundamental concepts and their applications. It is commonly used as a textbook at academic institutions and by industry professionals.
Provides a comprehensive and rigorous introduction to linear algebra, with a strong focus on the underlying mathematical theory. It is suitable for students with a strong mathematical background.
Provides a modern and accessible introduction to linear algebra, with a focus on applications in computer science and data science. It is suitable for students with a strong mathematical background.
Provides a concise and accessible introduction to linear algebra, with a focus on applications in science and engineering. It is suitable for students with a strong mathematical background.
Provides a comprehensive and rigorous introduction to matrix theory, which is closely related to linear algebra. It is suitable for students with a strong mathematical background.
Provides a unique and geometric approach to linear algebra, which can be helpful for students who prefer a visual and intuitive approach to mathematics. It is suitable for students with a strong mathematical background.
Provides a comprehensive and accessible introduction to linear algebra, with a focus on applications in science and engineering. It is suitable for students with a strong mathematical background.
Provides a comprehensive and rigorous introduction to algebra, which includes linear algebra as a subset. It is suitable for students with a strong mathematical background.

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