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Тимур Насыбуллов and Павел Колесников
Линейная алгебра — это один из важнейших разделов математики. Методы линейной алгебры широко применяются не только для решения задач геометрии, математического анализа, теории динамических систем, механики сплошных сред, теории представлений, но и в машинном...
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Линейная алгебра — это один из важнейших разделов математики. Методы линейной алгебры широко применяются не только для решения задач геометрии, математического анализа, теории динамических систем, механики сплошных сред, теории представлений, но и в машинном обучении, анализе данных, криптографии. Наш курс «Линейная алгебра: матрицы и отображения» предназначен для студентов физико-математических, технических и естественнонаучных специальностей, при этом он может быть полезен всем, кто изучает экономику, социологию и IT. Этот онлайн-курс дополняет стандартные дисциплины линейной алгебры и аналитической геометрии в вузах. Его цель — расширить ваши знания о векторных пространствах, линейных отображениях, матрицах и квадратичных формах. За время обучения вы, в частности, научитесь находить жорданову форму матрицы линейного оператора и применять её для решения прикладных задач кибернетики и математической физики. Мы предполагаем, что вы уже владеете базовыми понятиями линейной алгебры и знакомы с основными операциями над матрицами: умеете складывать и умножать матрицы, вычислять определитель квадратной матрицы и находить обратную матрицу. Во время обучения вы также будете решать практические задачи, в которых используются методы линейной алгебры, и учиться объяснять, почему предложенные алгоритмы на самом деле работают. Добро пожаловать! Материалы курса разработаны группой исследователей Математического центра в Академгородке (соглашение с Министерством науки и высшего образования РФ номер 075-15-2019-1675)
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores advanced concepts such as Jordan normal form, expanding your knowledge beyond basic linear algebra
Taught by researchers from the renowned Mathematical Center in Russia, ensuring high-quality content and expertise
Designed for students in STEM fields, making it highly relevant for those pursuing careers in science and technology
Provides a strong foundation in linear algebra, making it suitable for beginners or those looking to enhance their understanding
Includes practical applications and problem-solving exercises to reinforce concepts and enhance understanding

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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 Линейная алгебра: матрицы и отображения with these activities:
Review the textbook for linear algebra
Strengthen your foundation in linear algebra by thoroughly reviewing the assigned textbook.
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  • Read each chapter carefully, taking notes on important concepts and theorems.
  • Work through the practice problems at the end of each chapter.
  • Attend class lectures and ask questions to clarify any areas where you need additional support.
Watch video tutorials on linear algebra
Supplement your understanding of linear algebra by watching video tutorials that explain the concepts in a clear and engaging way.
Browse courses on Linear Algebra
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  • Identify a reputable online platform or educational channel that provides high-quality video tutorials on linear algebra.
  • Create a schedule for watching these tutorials regularly, such as once or twice a week.
  • Take notes during the tutorials to capture key concepts and insights.
Solve practice problems
Practice solving linear algebra problems to reinforce your understanding of the concepts and techniques covered in the course.
Browse courses on Linear Algebra
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  • Identify a set of practice problems that cover the key concepts of linear algebra, such as matrix operations, vector spaces, and eigenvalues.
  • Allocate dedicated time each week to solving these problems.
  • Review your solutions with the instructor or a tutor to identify areas where you need additional support.
Five other activities
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Attend a study group
Collaborate with other students to discuss course material, solve problems, and reinforce your understanding of linear algebra.
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  • Find a group of classmates who are also taking the course.
  • Schedule regular study sessions to meet and discuss the course material.
  • Take turns presenting concepts to the group and facilitate discussions.
Assist other students with linear algebra
Enhance your understanding of linear algebra concepts while providing support to fellow students.
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  • Offer your assistance to classmates who may be struggling with the material.
  • Form study groups or host tutoring sessions to help others grasp key concepts.
  • Provide clear explanations, work through practice problems together, and encourage active participation.
Write a summary of a linear algebra topic
Deepen your understanding of a specific linear algebra topic by writing a summary that explains the concepts in your own words.
Browse courses on Linear Algebra
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  • Choose a topic from the course that you want to explore in more depth.
  • Conduct research on the topic using textbooks, online resources, or academic papers.
  • Organize your findings into a coherent outline.
  • Write a summary that clearly explains the key concepts, theorems, and applications of the topic.
Participate in a linear algebra competition
Challenge yourself and demonstrate your mastery of linear algebra by participating in a competition.
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  • Identify a linear algebra competition that aligns with your skill level and interests.
  • Register for the competition and prepare by reviewing the competition format and practicing solving linear algebra problems.
  • Compete in the competition and strive to perform your best.
Develop a linear algebra application
Apply your understanding of linear algebra by creating a practical application that solves a real-world problem.
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  • Identify a problem or challenge that can be addressed using linear algebra techniques.
  • Design and implement an algorithm that leverages linear algebra to solve the problem.
  • Develop a user-friendly interface or software application to make your solution accessible to others.

Career center

Learners who complete Линейная алгебра: матрицы и отображения will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data scientists use statistical models, techniques, and algorithms to gather, process, analyze, interpret, and visualize data from a variety of sources. This course can help prepare you for a career as a data scientist by providing you with a solid foundation in linear algebra, which is essential for many aspects of data science, such as data analysis, machine learning, and statistical modeling. You will also learn how to use linear algebra to solve real-world problems in a variety of fields, which will give you the skills you need to be successful in this growing field.
Financial Analyst
Financial analysts use mathematical and statistical techniques to analyze financial data and make investment recommendations. This course can help prepare you for a career as a financial analyst by providing you with a solid foundation in linear algebra, which is essential for many aspects of financial analysis, such as portfolio optimization, risk assessment, and financial modeling. You will also learn how to use linear algebra to solve real-world problems in finance, which will give you the skills you need to be successful in this competitive field.
Actuary
Actuaries use mathematical and statistical techniques to assess and manage risk. This course can help prepare you for a career as an actuary by providing you with a solid foundation in linear algebra, which is essential for many aspects of actuarial science, such as risk modeling, premium pricing, and reserve analysis. You will also learn how to use linear algebra to solve real-world problems in the insurance industry, which will give you the skills you need to be successful in this challenging field.
Operations Research Analyst
Operations research analysts use mathematical and statistical techniques to improve the efficiency and effectiveness of organizations. This course can help prepare you for a career as an operations research analyst by providing you with a solid foundation in linear algebra, which is essential for many aspects of operations research, such as linear programming, network optimization, and simulation modeling. You will also learn how to use linear algebra to solve real-world problems in a variety of industries, which will give you the skills you need to be successful in this growing field.
Software Engineer
Software engineers design, develop, and maintain software systems. This course can help prepare you for a career as a software engineer by providing you with a solid foundation in linear algebra, which is essential for many aspects of software development, such as computer graphics, image processing, and data structures. You will also learn how to use linear algebra to solve real-world problems in the software industry, which will give you the skills you need to be successful in this in-demand field.
Quantitative Analyst
Quantitative analysts use mathematical and statistical techniques to analyze financial data and make investment recommendations. This course can help prepare you for a career as a quantitative analyst by providing you with a solid foundation in linear algebra, which is essential for many aspects of quantitative analysis, such as portfolio optimization, risk assessment, and financial modeling. You will also learn how to use linear algebra to solve real-world problems in finance, which will give you the skills you need to be successful in this competitive field.
Business Analyst
Business analysts use mathematical and statistical techniques to analyze business data and make recommendations for improving business performance. This course can help prepare you for a career as a business analyst by providing you with a solid foundation in linear algebra, which is essential for many aspects of business analysis, such as data analysis, forecasting, and optimization. You will also learn how to use linear algebra to solve real-world problems in business, which will give you the skills you need to be successful in this growing field.
Market Researcher
Market researchers use mathematical and statistical techniques to collect, analyze, and interpret data about markets and consumers. This course can help prepare you for a career as a market researcher by providing you with a solid foundation in linear algebra, which is essential for many aspects of market research, such as data analysis, survey design, and forecasting. You will also learn how to use linear algebra to solve real-world problems in marketing, which will give you the skills you need to be successful in this challenging field.
Economist
Economists use mathematical and statistical techniques to analyze economic data and make recommendations for economic policy. This course can help prepare you for a career as an economist by providing you with a solid foundation in linear algebra, which is essential for many aspects of economics, such as econometrics, macroeconomics, and microeconomics. You will also learn how to use linear algebra to solve real-world problems in economics, which will give you the skills you need to be successful in this in-demand field.
Mathematician
Mathematicians use mathematical and statistical techniques to solve problems in a variety of fields. This course can help prepare you for a career as a mathematician by providing you with a solid foundation in linear algebra, which is essential for many aspects of mathematics, such as algebra, geometry, and topology. You will also learn how to use linear algebra to solve real-world problems in a variety of fields, which will give you the skills you need to be successful in this challenging field.
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. This course can help prepare you for a career as a statistician by providing you with a solid foundation in linear algebra, which is essential for many aspects of statistics, such as data analysis, statistical modeling, and sampling. You will also learn how to use linear algebra to solve real-world problems in a variety of fields, which will give you the skills you need to be successful in this growing field.
Computer Scientist
Computer scientists use mathematical and statistical techniques to design, develop, and maintain computer systems. This course can help prepare you for a career as a computer scientist by providing you with a solid foundation in linear algebra, which is essential for many aspects of computer science, such as computer graphics, artificial intelligence, and data structures. You will also learn how to use linear algebra to solve real-world problems in computer science, which will give you the skills you need to be successful in this in-demand field.
Physicist
Physicists use mathematical and statistical techniques to study the laws of nature. This course can help prepare you for a career as a physicist by providing you with a solid foundation in linear algebra, which is essential for many aspects of physics, such as mechanics, electromagnetism, and quantum mechanics. You will also learn how to use linear algebra to solve real-world problems in physics, which will give you the skills you need to be successful in this challenging field.
Engineer
Engineers use mathematical and statistical techniques to design, develop, and maintain products and systems. This course can help prepare you for a career as an engineer by providing you with a solid foundation in linear algebra, which is essential for many aspects of engineering, such as structural analysis, fluid dynamics, and heat transfer. You will also learn how to use linear algebra to solve real-world problems in engineering, which will give you the skills you need to be successful in this in-demand field.
Teacher
Teachers use mathematical and statistical techniques to teach mathematics and statistics to students. This course can help prepare you for a career as a teacher by providing you with a solid foundation in linear algebra, which is essential for many aspects of teaching mathematics, such as algebra, geometry, and calculus. You will also learn how to use linear algebra to solve real-world problems in mathematics education, which will give you the skills you need to be successful in this rewarding field.

Reading list

We've selected ten 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 Линейная алгебра: матрицы и отображения.
Provides a comprehensive and rigorous treatment of linear algebra, covering topics such as vector spaces, linear transformations, matrices, and determinants. It is considered a classic textbook in the field and is widely used as a reference by researchers and practitioners.
This textbook covers a wide range of topics in linear algebra, including vector spaces, linear transformations, matrices, determinants, and eigenvalues and eigenvectors. It is known for its clear and accessible writing style, making it a popular choice for undergraduate courses.
This textbook covers a wide range of topics in linear algebra, including vector spaces, linear transformations, matrices, determinants, and eigenvalues and eigenvectors. It is known for its rigorous and comprehensive treatment of the subject.
Provides a comprehensive treatment of matrix analysis, covering topics such as matrix norms, eigenvalues and eigenvectors, singular value decomposition, and positive definite matrices. It is considered a classic reference in the field and is widely used by researchers and practitioners.
Provides a comprehensive and advanced treatment of linear algebra, covering topics such as vector spaces, linear transformations, matrices, determinants, and eigenvalues and eigenvectors. It is considered a classic reference in the field and is widely used by researchers and practitioners.
This textbook covers a wide range of topics in linear algebra, including vector spaces, linear transformations, matrices, determinants, and eigenvalues and eigenvectors. It is known for its modern and engaging approach, making it a popular choice for undergraduate courses.
Covers a wide range of topics in linear algebra, with a focus on applications to economics. It includes topics such as vector spaces, matrices, linear transformations, eigenvalues and eigenvectors, and input-output analysis.
This textbook provides a concise and intuitive introduction to linear algebra, covering topics such as vector spaces, matrices, and linear transformations. It is known for its use of worked examples and exercises to illustrate concepts.

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