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Linear Algebra and Geometry 1

Systems of equations, matrices, vectors, and geometry

Chapter 1: Systems of linear equations

S1. Introduction to the course

S2. Some basic concepts

You will learn: some basic concepts that will be used in this course. Most of them are known from high-school courses in mathematics, some of them are new; the latter will appear later in the course and will be treated more in depth then.

S3. Systems of linear equations; building up your geometrical intuition

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Linear Algebra and Geometry 1

Systems of equations, matrices, vectors, and geometry

Chapter 1: Systems of linear equations

S1. Introduction to the course

S2. Some basic concepts

You will learn: some basic concepts that will be used in this course. Most of them are known from high-school courses in mathematics, some of them are new; the latter will appear later in the course and will be treated more in depth then.

S3. Systems of linear equations; building up your geometrical intuition

You will learn: some basic concepts about linear equations and systems of linear equations; geometry behind systems of linear equations.

S4. Solving systems of linear equations; Gaussian elimination

You will learn: solve systems of linear equations using Gaussian elimination (and back-substitution) and GaussJordan elimination in cases of systems with unique solutions, inconsistent systems, and systems with infinitely many solutions (parameter solutions).

S5. Some applications in mathematics and natural sciences

You will learn: how systems of linear equations are used in other branches of mathematics and in natural sciences.

Chapter 2: Matrices and determinants

S6. Matrices and matrix operations

You will learn: the definition of matrices and their arithmetic operations (matrix addition, matrix subtraction, scalar multiplication, matrix multiplication). Different kinds of matrices (square matrices, triangular matrices, diagonal matrices, zero matrices, identity matrix).

S7. Inverses; Algebraic properties of matrices

You will learn: use matrix algebra; the definition of the inverse of a matrix.

S8. Elementary matrices and a method for finding A inverse

You will learn: how to compute the inverse of a matrix with Gauss-Jordan elimination (Jacobi’s method).

S9. Linear systems and matrices

You will learn: about the link between systems of linear equations and matrix multiplication.

S10. Determinants

You will learn: the definition of the determinant; apply the laws of determinant arithmetics, particularly the multiplicative property and the expansion along a row or a column; solving equations involving determinants; the explicite formula for solving of n-by-n systems of linear equations (Cramer's rule), the explicite formula for inverse to a non-singular matrix.

Chapter 3: Vectors and their products

S11. Vectors in 2-space, 3-space, and n-space

You will learn: apply and graphically illustrate the arithmetic operations for vectors in the plane; apply the arithmetic operations for vectors in R^n.

S12. Distance and norm in R^n

You will learn: compute the distance between points in R^n and norms of vectors in R^n, normalize vectors.

S13. Dot product, orthogonality, and orthogonal projections

You will learn: definition of dot product and the way you can use it for computing angles between geometrical vectors.

S14. Cross product, parallelograms and parallelepipeds

You will learn: definition of cross product and interpretation of 3-by-3 determinants as the volume of a parallelepiped in the 3-space.

Chapter 4: Analytical geometry of lines and planes

S15. Lines in R^2

You will learn: several ways of describing lines in the plane (slope-intercept equation, intercept form, point-vector equation, parametric equation) and how to compute other kinds of equations given one of the equations named above.

S16. Planes in R^3

You will learn: several ways of describing planes in the 3-spaces (normal equation, intercept form, parametric equation) and how to compute other kinds of equations given one of the equations named above.

S17. Lines in R^3

You will learn: several ways of describing lines in the 3-space (point-vector equation, parametric equation, standard equation) and how to compute other kinds of equations given one of the equations named above.

S18. Geometry of linear systems; incidence between lines and planes

You will learn: determine the equations for a line and a plane and how to use these for computing intersections by solving systems of equations.

S19. Distance between points, lines, and planes

You will learn: determine the equations for a line and a plane and how to use these for computing distances.

S20. Some words about the next course

You will learn: about the content of the second course.

S21. Extras

You will learn: about all the courses we offer. You will also get a glimpse into our plans for future courses, with approximate (very hypothetical. ) release dates.

Make sure that you check with your professor what parts of the course you will need for your final exam. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.

A detailed description of the content of the course, with all the 222 videos and their titles, and with the texts of all the 175 problems solved during this course, is presented in the resource file

“001 Outline_Linear_Algebra_and_Geometry_1.pdf”

under video 1 ("Introduction to the course"). This content is also presented in video 1.

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Ideal for students with an interest in mathematics and natural sciences
Builds a strong foundation for beginners in linear algebra and geometry
Covers a comprehensive range of topics, from systems of equations to analytical geometry
Requires students to have a basic understanding of high-school mathematics
Provides hands-on practice through solved problems and exercises

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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 and Geometry 1 with these activities:
Create a Course Notebook
Helps you stay organized and retain information by compiling all relevant course materials in one place.
Show steps
  • Get a notebook or binder
  • Take notes during lectures and tutorials
  • Organize your notes by topic
  • Include handouts, assignments, and other relevant materials
Read Linear Algebra and Its Applications
Provides a strong foundation in the fundamental concepts of linear algebra, which are essential for success in this course.
Show steps
  • Read the introduction and Chapter 1
  • Work through the examples in the book
  • Complete the practice problems at the end of each chapter
Watch Video Tutorials on Matrices and Determinants
Provides visual and interactive explanations of these important concepts, complementing the textbook and lectures.
Browse courses on Matrices
Show steps
  • Search for video tutorials on matrices and determinants
  • Watch the tutorials and take notes
  • Try to apply the concepts to solve problems
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Linear Equations and Systems
Reinforces the techniques for solving systems of linear equations, which is a core skill in this course.
Show steps
  • Find an online resource or textbook with practice problems
  • Solve as many problems as possible
  • Check your answers and identify areas where you need more practice
Form a Study Group
Provides a supportive environment for discussing course material, asking questions, and working on problems together.
Show steps
  • Find a group of classmates who are interested in forming a study group
  • Set up regular meeting times and locations
  • Discuss the lecture material, work on problems, and quiz each other
Write a Summary of Vector Operations
Enhances understanding of vector operations by requiring you to explain them in your own words.
Browse courses on Vector Operations
Show steps
  • Review the lecture notes and textbook on vector operations
  • Write a summary that includes definitions, formulas, and examples
  • Share your summary with a classmate for feedback
Attend a Linear Algebra Workshop
Provides an opportunity to learn from experts, ask questions, and apply concepts in a hands-on setting.
Browse courses on Linear Algebra
Show steps
  • Research and find a suitable workshop
  • Register for the workshop
  • Attend the workshop and actively participate

Career center

Learners who complete Linear Algebra and Geometry 1 will develop knowledge and skills that may be useful to these careers:
Actuary
Actuaries use mathematical and statistical models to assess risk in the insurance and finance industries. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for actuaries. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as an actuary.
Data Scientist
Data scientists use data to solve problems and make decisions. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for data scientists. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a data scientist.
Statistician
Statisticians use mathematical and statistical models to analyze and interpret data. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for statisticians. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a statistician.
Financial Analyst
Financial analysts use mathematical and statistical models to analyze and forecast financial data. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for financial analysts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a financial analyst.
Risk Analyst
Risk analysts use mathematical and statistical models to assess risk in the insurance and finance industries. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for risk analysts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a risk analyst.
Quantitative Analyst
Quantitative analysts use mathematical and statistical models to analyze and forecast financial data. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for quantitative analysts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a quantitative analyst.
Investment Analyst
Investment analysts use mathematical and statistical models to analyze and forecast financial data. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for investment analysts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as an investment analyst.
Operations Research Analyst
Operations research analysts use mathematical and statistical models to solve problems in business and industry. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for operations research analysts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as an operations research analyst.
Software Engineer
Software engineers design, develop, and maintain software systems. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for software engineers. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a software engineer.
Teacher
Teachers educate students at all levels, from kindergarten through college. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for teachers of mathematics. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a teacher.
Technical Writer
Technical writers create documentation for software, hardware, and other technical products. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for technical writers who need to explain complex technical concepts. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a technical writer.
Web Developer
Web developers design and develop websites. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for web developers who need to understand how to create responsive and interactive websites. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a web developer.
User Experience Designer
User experience designers design and evaluate user interfaces for websites, software, and other products. This course can help you build a strong foundation in linear algebra and geometry, which are essential skills for user experience designers who need to understand how users interact with products. You will learn how to solve systems of linear equations, perform matrix operations, and calculate determinants. This knowledge will be invaluable for you in your work as a user experience designer.
Graphic designer
Graphic designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course can help you build a foundation in geometry, a subject used to arrange elements in a visually appealing way. Additionally, linear algebra is useful for computer graphics that involve transformations applied to 2D and 3D objects.
Architect
Architects design and oversee the construction of buildings. This course can help you build a foundation in geometry, which is essential for understanding the structural integrity of buildings. Additionally, linear algebra is useful for computer-aided design (CAD) software used in architecture.

Reading list

We've selected 12 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 and Geometry 1.
Classic textbook on linear algebra that provides a comprehensive overview of the subject. It is well-written and contains many solved examples and exercises.
Well-written and accessible introduction to linear algebra that is suitable for undergraduates. It covers a wide range of topics, including vector spaces, matrices, determinants, and eigenvalues.
Classic textbook on matrix analysis that is suitable for advanced undergraduates and graduate students. It covers a wide range of topics, including matrix norms, eigenvalues, and singular value decomposition.
Well-written and accessible introduction to linear algebra that is suitable for undergraduates. It covers a wide range of topics, including vector spaces, matrices, determinants, and eigenvalues.
Well-written and accessible introduction to linear algebra that is suitable for undergraduates. It covers a wide range of topics, including vector spaces, matrices, determinants, and eigenvalues.
Classic textbook on linear algebra that is suitable for advanced undergraduates and graduate students. It covers a wide range of topics, including vector spaces, matrices, determinants, and eigenvalues.
Classic textbook on linear algebra that is suitable for advanced undergraduates and graduate students. It covers a wide range of topics, including vector spaces, matrices, determinants, and eigenvalues.
Provides a comprehensive overview of linear algebra and optimization techniques that are used in machine learning. It is suitable for advanced undergraduates and graduate students.
Provides a comprehensive overview of linear algebra and its applications in computer graphics. It is suitable for advanced undergraduates and graduate students.

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