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Mastering Linear Algebra

Offered By: Delft University of Technology via edX

Tags

Linear Algebra Courses Vectors Courses Matrices Courses Linear Equations Courses Linear Transformations Courses Determinants Courses Eigenvalues Courses Eigenvectors Courses

Course Description

Overview

Whether you want to make a strong start to a master’s degree, solidify your knowledge in a professional context or simply brush up on fundamentals in linear algebra, this program will get you up to speed.

This program will enable you to review the relevant topics and offer you an overview of the linear algebra common in most engineering bachelor programs.

The courses in this program provide enough depth to cover the linear algebra you need to succeed in your engineering master’s or professional work in areas such as computer graphics, systems and control, machine learning, quantum computing and more.

In the first course you will review all the basic concepts and practice and refresh the skills related to vectors and linear equations. The course focuses on vectors (from both algebraic and geometric perspectives) and solving linear equations.

The second course will review all the basic concepts and practice and refresh the skills related to matrices and linear transformations. Topics covered include matrix algebra, determinants, eigenvalues and eigenvectors, diagonalization and singular value decomposition.

These courses are self-paced, self-contained and modular, to make it easier to review specific topics and practice as often as you want without having to follow the entire courses.

This program is ideal for:

  • Prospective engineering students who want to meet the prerequisites for a MSc program, be better prepared or refresh their mathematics knowledge before starting a master’s degree.
  • Engineering or bachelor students who realize that they have a gap in their math knowledge or would like an additional challenge in mathematics not offered by their studies.
  • Working professionals who would like to improve their math knowledge.
  • Anyone interested in university level mathematics.

This program will refresh your knowledge, test your skills and review the relations between the various concepts in linear algebra. As review courses, you are expected to have previously studied or be familiar with most of the material.

This program is part of our series ‘Mastering Mathematics for Engineers’, together with ‘Mastering Calculus’ and ‘Mastering Probability and Statistics’.


Syllabus

Courses under this program:
Course 1: Linear Algebra I: Vectors and Linear Equations

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear equations.



Course 2: Linear Algebra II: Matrices and Linear Transformations

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations.




Courses

  • 0 reviews

    6 weeks, 4-6 hours a week, 4-6 hours a week

    View details

    A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

    In many engineering master’s programs, you need to be familiar with linear algebra. This course will enable you to review the relevant topics.

    This course focuses on vectors (from both algebraic and geometric perspectives) and solving linear equations. It will help you refresh your knowledge, test your skills and review the relations between the many concepts in linear algebra.

    The linear algebra courses within this series will offer you an overview of this branch of mathematics common to most engineering bachelor’s programs. They provide enough depth to cover the linear algebra you need to succeed in your engineering master’s or profession in areas such as computer graphics, systems and control, machine learning, quantum computing and more.

    This is a review course
    This self-contained course is modular, so you do not need to follow the entire course if you wish to focus on a particular aspect. As a review course you are expected to have previously studied or be familiar with most of the material. Hence the pace will be higher than in an introductory course.

    This format is ideal for refreshing your bachelor level mathematics and letting you practice as much as you want. Through the Grasple platform, you will have access to plenty of exercises and receive intelligent, personal and immediate feedback.

    This course is part of our series Mastering Mathematics for Engineers , and together with the course Linear Algebra II part of the program Mastering Linear Algebra.

  • 0 reviews

    6 weeks, 4-6 hours a week, 4-6 hours a week

    View details

    A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

    In many engineering master’s programs, you need to be familiar with linear algebra. This course will enable you to review the relevant topics.

    This course focuses on matrices and linear transformations. Topics covered include matrix algebra, determinants, eigenvalues and eigenvectors, diagonalization and singular value decomposition. The course will help you refresh your knowledge, test your skills and review the relations between the many concepts in linear algebra.

    The linear algebra courses within this series will offer you an overview of this branch of mathematics common to most engineering bachelor’s programs. They provide enough depth to cover the linear algebra you need to succeed in your engineering master’s/profession in areas such as computer graphics, systems and control, machine learning, quantum computing and more.

    This is a review course
    This self-contained course is modular, so you do not need to follow the entire course if you wish to focus on a particular aspect. As a review course you are expected to have previously studied or be familiar with most of the material. Hence the pace will be higher than in an introductory course.

    This format is ideal for refreshing your bachelor level mathematics and letting you practice as much as you want. Through the Grasple platform, you will have access to plenty of exercises and receive intelligent, personal and immediate feedback.


Taught by

Marleen Keijzer, Iris Smit and Bart van den Dries

Tags

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