Linear Algebra Online College Credit

Why Take This Course

• Recorded lectures provide a classroom experience, but the flexibility to choose your own hours.
• Small homework assignments allow you to practice the material as you learn and go back to the lecture if you need more explanation.
• Is accepted for credit transfer to most post-secondary institutions in Canada.

Online Linear Algebra Courses And Programs

Get an introduction to linear algebra with online courses from major universities and institutions. Edx offers beginner and advanced courses designed to help you learn about linear algebra in an engaging and effective online learning environment complete with video tutorials, quizzes and more.

Additionally, students can earn verified certificates in linear algebra and other mathematics disciplines from edX and the university offering the course, proof for teachers, employers and others of successful completion of the coursework. Get started in linear algebra with one the following courses or programs.

Davidson College offers an exciting, 2-part linear algebra program that uses fun practice problems to teach the fundamental concepts and techniques. Apply linear algebra in data mining as well as computer animation while learning how to perform mathematical operations on matrices and solve linear equations. Learn how linear algebra is used in sports ranking, web search applications, image compression and more.

Explore these and other free online courses that cover graphing linear equations, matrix algebra, numerical linear algebra and more. Many courses are self-paced so you can enroll and start learning today.

Complete Linear Algebra: Theory And Implementation In Code

This Udemy course by Mike X Cohen is excellent for those who are familiar with programming. Unlike most other courses, you will perceive how professionals implement theories and concepts in real life through MATLAB and Python.

Mike is a neuroscientist who owns a research lab funded by US and European governments and an associate professor at a Dutch university. With more than two decades of teaching experience, Mike can help you master Linear Algebra in no time.

Note: You should be familiar with MATLAB or Python before taking this course. Thus, absolute beginners might want to consider other alternatives instead.

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Flexible 100% Online Course

You’ll take this online course at your own pace. Some students thrive in this environment, while other students may struggle with setting their own deadlines. If you have successfully taken an independent study or correspondence course previously, UNDs enroll anytime courses may be right for you. Still not sure? Take our online quiz to help determine if online enroll anytime courses are right for you.

Course information including tuition, technology requirements, textbooks, lessons and exams is subject to change without notice.

Need To Transfer Credits To Another College Or University

Before you enroll in a course, check with your school of choice to make sure they will accept our transfer credits and to understand any requirements or limitations. Then you can complete your course, and request your official transcript be sent to your school. Thats it!

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Georgia Techs Linear Algebra Programs

Currently, Georgia Tech offers two Linear Algebra programs on edX. Both are essentially a college course separated into two parts. You will learn from Greg Mayer, a professor from the School of Economics.

With these high-quality lectures, course materials, and assessments, you will have a learning experience equivalent to enrolling on-site.

Linear Algebra Online Course For Academic Credit

Linear Algebra is technically part of the undergraduate Calculus sequence, usually taken the sophomore year, but there is almost no Calculus in the course! Linear Algebra is usually considered a more difficult course, especiallyin a classroom/textbook format. Our Linear Algebra via Distance Calculus is a beautiful course, with masterful useof Mathematica that brings together the topics in a highly visual way, giving the student both theoretical and computationalunderstanding of the very important topics of Linear Algebra, especially for economics, data science, computer science,engineering, and financial mathematics.

Completion of Math 331 – Linear Algebra earns 3 academic credit semester hours with an official academic transcript from Roger Williams University,in Providence, Rhode Island, USA, which is regionally accredited by the New England Commission of Higher Education , facilitating transfer of credits nationwide to other colleges and universities.

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How Can Taking Online Courses Help Me Learn Linear Algebra

When you take online courses about linear algebra, you can learn how mathematical relationships matter in classifying objects, spaces, and situations. The knowledge you can gain by studying linear algebra can give you insights into different fields like economics, physics, and politics. For example, the concepts of linear algebra can be found in determining local auto traffic depending on people’s moving patterns and analyzing how this movement matters to local business factors.â

Applications Of Linear Algebra

The second program covers completely different content compared to the first. It focuses more on practical applications of Linear Algebra. You will learn how to use Linear Algebra to solve multiple real-world problems.

This program consists of two minor courses as follows:

Determinants and Eigenvalues This course will first discuss determinants and their critical applications in computer graphics. You will use determinants to determine the amount of area changed by linear transformations.

In the second part, you will learn about eigenvalues and eigenvectors and understand their applications, including Markov chains.

Finally, you will work on a project that challenges you to create a transition matrix, a Markov chain, and a Google Matrix to calculate the page rank of the web.

Orthogonality & Symmetric Matrices and the SVD The second course will focus on distance and orthogonality in the vector space.

After learning all the concepts, you will develop least-squares solutions for inconsistent systems and explore other least-squares problems that commonly arise in many practical applications.

Later, you will learn about matrix factorization and symmetric matrices and construct an orthogonal diagonalization and a spectral decomposition of a matrix.

The suggested pace is similar to that of the first course. You should spend 5-6 hours per week on the program, and you will complete it in two months.

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Learn More About Linear Algebra

Linear algebra is the study of linear sets, or equations, and their representations in vector spaces and matrices. Through the study and manipulation of scalars, vectors, matrices, and tensors, linear algebra has applications in fields ranging from machine learning and software engineering to economics. Take a linear algebra online course from Udemy and uplevel your skills, regardless of the next step in your professional or educational career.

Linear Algebra Course Introduction

Linear Algebra is a sophomore-level introductory course to the subject.

Traditional approaches to the subject include learning tedious manual computationson matrices, followed by an introduction to a more abstract approach to looking at a class of examples called linear spaces.

Our approach in this course is not a traditional one. In the words of the authorsof the curriculum, “This is not your mother’s linear algebra course”, referringto the fact that someone who took an introductory linear algebra course years ago would notrecognize much similarity with this course.

Leveraging the high-powered computer algebra and graphing systemMathematica by Wolfram Research,the course curriculum Matrices, Geometry, & Mathematica by Davis/Porta/Uhl bypasses the traditional manual calculation tedium, and leapfrogs to a computationally-based,geometric, experimentation-centered approach to the subject. Instead of learningmanual computations that are today easily completed by any computer algebra system,this course races into topics that are seldom found in any linear algebra textbook – a quite unique, fresh, and powerful approach to the subject.

Students completing this Matrices, Geometry, & Mathematica curriculum willhave a thorough understanding of the geometry of linear algebra, the solutions oflinear systems of equations, and the theoretical investigation of the generalizedlinear spaces concept .

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Why Take Online Classes At Und

Here are a few reasons why you should take an online enroll anytime course at UND:

• Great customer service Our registration team is ready to answer questions quickly so you can focus on your coursework.
• Affordable UND’s enroll anytime courses are priced at North Dakota’s affordable, in-state tuition rate.
• Accredited UND is accredited by the Higher Learning Commission.
• Easily transfer credits Transferring credits is always at the discretion of the institution to which the credits are being transferred. In general, credits from schools/universities that are regionally accredited by the Higher Learning Commission transfer to other regionally accredited institutions. UND’s online courses appear on your UND transcript in the same way as other courses.

Advanced Linear Algebra: Foundations To Frontiers

The second course will drill deep into Linear Algebra for computing. You will grasp how data scientists use Linear Algebra to perform tasks in real life.

Below is a summary of what you will learn from the course.

• Orthogonalization + Use Singular Value Decomposition to decipher a matrix
• Solving Linear Systems and Least-Squares Problems
• Eigenvalues and Eigenvectors in computing

The suggested pace for this course even demands a higher weekly commitment than the first. To be specific, you should spend 8-12 hours per week for approximately 16 weeks. You can set your schedule if you cannot make it, though.

Auditing is again free of charge. However, the verified track, which offers graded assignments, costs only $49.

• High-quality course materials, containing downloadable notes, assignments, and exams
• Students will have an opportunity to solve Linear Algebra problems using coding.
• Affordable verified track for both courses + Free auditing

Cons

• Several sections can be extremely challenging for some students.
• This series may not be the best option for those who are not familiar with coding.

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Introduction To Linear Algebra

This program comprises two minor courses as follows.

1. Linear Equations The first course will drill deep into linear equations and systemic methods to help solve them. In the second part, you will learn about vectors and characterize them in terms of various aspects, including spans, linear combinations, relationships, etc.

Finally, you will explore linear independence and transformations, which are helpful in infinite real-world applications.

2. Matrix Algebra The second course will be all about matrices. You will learn about Inverse Matrix Theorem and explore other theorems and algorithms that allow you to apply Linear Algebra to more complicated issues involving multiple matrices.

Subsequently, you will learn how to apply matrix algebra to economics and computer graphics.

The program is 100% self-paced. Hence, you can freely set your learning schedule. However, Georgia Tech suggests spending 5-6 hours per week for two months on the program.

You can audit all the courses for free, but if you want your assignments to be graded and get a digital certificate upon program completion, you will need to pay $398 for a verified track.

Schedule At Northern Virginia Community College

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Why Is It Important To Learn Linear Algebra

It’s important to learn linear algebra to get deeper clarity and better intuition for how mathematical algorithms really work. This knowledge can help you think more logically about projects and apply the linear algebra principles to machine learning projects you may be moving toward. Overall, having linear algebra knowledge can help you learn the fundamentals of data analysis, machine learning, and mathematical theory.â

Mths 300: Linear Algebra

Understanding concepts from linear algebra is essential to the serious study of many disciplines, ranging from physics and chemistry to economics and computer and data science, not to mention the further study of higher mathematics. In this course, we’ll be looking at both computational and theoretical aspects of linear algebra, as well as at a number of applications. The “basic stuff” of linear algebra comprises vector spaces and the linear mappings between them. These mappings are represented by matrices, and a lot of linear algebra is concerned with reducing the enormous amount of data contained in a matrix to a few salient numbers and properties.

There aren’t many prerequisites for the course other than basic high-school algebra and a willingness to stretch your mind around some awesome abstract conceptshigher -dimensional spaces, deducing things abstractly from basic principles, and learning how to interpret and exploit the deductions. It will be an exciting and fast-paced journey through topics such as Gaussian elimination, linear systems, linear transformations and their matrix representations, eigenvalues and eigenvectors, the singular-value decomposition, and principal component analysis.

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Become A Linear Algebra Master

If you are interested in learning Linear Algebra but want a more informal learning experience, I suggest picking up this Udemy course by Krista King.

Krista is an experienced math tutor and one of the most popular math instructors on Udemy. She has astounding teaching skills, which can make your math class more enjoyable.

Why Take Introduction To Linear Algebra 0nline

This is an introductory online math course with an emphasis on computation rather than proof. For the purposes of this online course, the computations will be done by hand, which is a necessary first step in understanding how they are done.

You have 3 to 9 months from your enrollment date to complete 12 lessons and 3 proctored exams using ProctorU Live+. The lessons consist of readings from the text and notes by the instructor, a set of suggested exercises from the text which are for practice and not for submission, and a problem set which is to be submitted as homework. The first two exams cover material in the preceding lessons, while the final exam covers all material presented in the course.

In the Introduction to Linear Algebra online course you will learn:

• How to solve systems of linear equations by several methods
• About the rules of arithmetic for matrices and vectors, including computing determinants and matrix inverses
• How to find an LU-factorization for certain matrices
• About the ideas of vector spaces and subspaces
• How to compute eigenvalues and eigenvectors of matrices

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What Is Linear Algebra

Linear algebra is a central branch of mathematics that is focused on the interaction between vector spaces, linear equations, matrices, and linear transformations. Linear algebra is similar to basic algebra, but instead of finding correlations between single numbers, it seeks to find linear connections between scalars and vectors, which are lists of numbers. Linear algebra is important for the worlds of data analytics and any kind of work in the computer software field, as it builds on mathematical logic and building block relationships.â

Linear Algebra Foundations To Frontiers

Below is what you will learn from the course.

• Vector and Matrix Operations
• Relationships between linear transformations, matrices, and linear equation systems
• Partitioned Matrices and Special Matrices
• Algorithms for Matrix computations to solve systems of equations
• Vector Spaces, Subspaces, and Linear Independence
• Orthogonality, Linear Least Squares, Eigenvalues, Eigenvectors

The suggested pace for this course is 6-10 hours weekly, and you will finish it in 15 weeks. If this pace requires too much weekly commitment, you can adjust it at will since the course is self-paced.

Auditing the course is free. However, an inexpensive verified track may be a superior alternative.

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About Mathematics At Cty

Our online Mathematics coursesspanning elementary through college-level curriculacover a wide range of topics, from algebra and geometry to chess, cryptology, and AP Calculus and are guided by expert instructors. Youll join group sessions with classmates to ensure you stay on track with challenging course content. Whether youre looking for pure math fun and enrichment, to move up the math ladder and advance your honors and AP academic standing, or to train for mathematics competitions, theres a CTY course thats right for you.

Best Linear Algebra Courses To Learn Online For 2022

Linear Algebra is the mathematics of vector spaces and matrices. Apart from being used in all areas of theoretical mathematics, Linear Algebra has numerous other applications in various industries, ranging from data science, machine learning, computer graphics, economics to scientific computations.

Undoubtedly, Linear Algebra has become a prerequisite for advanced courses on various topics. Back in my college days, I remember Linear Algebra was one of the most popular mathematics courses at Columbia because students from various majors needed to take it.

If you did not have an opportunity to take it while in college or took it but struggled to understand the concepts, this will not be an issue anymore since you can now master Linear Algebra by taking high-quality online courses.

However, it may not be as simple as it seems. Some of those available are cash-grab courses that provide only basic training with few examples, which hardly help you grasp the essence of Linear Algebra.

I decided to do the heavy lifting for you. This article will only feature the best linear algebra courses that I found helpful in clarifying concepts and strengthening your problem-solving skills.

You can then select the right course based on your preferences and start learning right away.

Affiliate Disclosure: This article from Victory Tale contains affiliate links. We will receive a small commission if you purchase or enroll in Linear Algebra courses.

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