Course Name : Linear Algebra and Geometry 2
Students : 5,130
Duration : 47 hours & 337 downloadable resources
Avg Rating : 4.8 (284 ratings)
Original Price : $119.99
Discount Price : $12
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What you’ll learn
-
How to solve problems in linear algebra and geometry (illustrated with 153 solved problems) and why these methods work.
-
Important concepts concerning vector spaces, such as basis, dimension, coordinates, and subspaces.
-
Linear combinations, linear dependence and independence in various vector spaces, and how to interpret them geometrically in R^2 and R^3.
-
How to recalculate coordinates from one basis to another, both with help of transition matrices and by solving systems of equations.
-
Row space, columns space and nullspace for matrices, and about usage of these concepts for solving various types of problems.
-
Linear transformations: different ways of looking at them (as matrix transformations, as transformations preserving linear combinations).
-
How to compose linear transformations and how to compute their standard matrices in different bases; compute the kernel and the image for transformations.
-
Understand the connection between matrices and linear transformations, and see various concepts in accordance with this connection.
-
Work with various geometrical transformations in R^2 and R^3, be able to compute their matrices and explain how these transformations work.
-
Understand the concept of isometry and be able to give some examples, and formulate their connection with orthogonal matrices.
-
Transform any given basis for a subspace of R^n into an orthonormal basis of the same subspace with help of Gram-Schmidt Process.
-
Compute eigenvalues, eigenvectors, and eigenspaces for a given matrix, and give geometrical interpretations of these concepts.
-
Determine whether a given matrix is diagonalizable or not, and perform its diagonalization if it is.
-
Understand the relationship between diagonalizability and dimensions of eigenspaces for a matrix.
-
Use diagonalization for problem solving involving computing the powers of square matrices, and motivate why this method works.
-
Be able to formulate and use The Invertible Matrix Theorem and recognise the situations which are suitable for the determinant test (and which are not).
-
Use Wronskian to determine whether a set of smooth functions is linearly independent or not; be able to compute Vandermonde determinant.
-
Work with various vector spaces, for example with R^n, the space of all n-by-m matrices, the space of polynomials, the space of smooth functions.
Deal Score0
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
FAQs on Udemy Coupon
Are there any limitations to access udemy coupon Code?
Yes, Linear Algebra and Geometry 2 coupon code is valid for the first 1,000 enrollments or for 30 days, whichever comes first. After that, the coupon will expire.
Is Linear Algebra and Geometry 2 free download available?
No, you cannot download Udemy course directly from the website. However, Udemy’s mobile app for iOS and Android allows you to download courses for offline viewing within the app.
Can I get a refund for the Linear Algebra and Geometry 2 course, If I purchased with a coupon?
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
