Linear Algebra
part 3 of 3

A total of 50 hours of lectures

This is an academic level course for university and college engineering. Due to its size, it is divided into three parts. This page describes the third of those three parts.

Level - Intermediate

  • High-school and college mathematics (mainly arithmetics, some trigonometry, polynomials)
  • Linear Algebra and Geometry 1 (systems of equations, matrices and determinants, vectors and their products, analytic geometry of lines and planes)
  • Linear Algebra and Geometry 2 (vector spaces, linear transformations, orthogonality, eigenvalues and eigenvectors, diagonalization)
  • Some basic calculus
    Basic knowledge of complex numbers (this course contains a short introduction to complex numbers)

Curriculum

Make sure that you check with your professor what parts of the course you will need for your 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.

Linear Algebra, part 3 of 3

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Get the outline

A detailed list of all the lectures in part 3 of the course, including which theorems will be discussed and which problems will be solved. If you are looking for a particular kind of problem or a particular concept, this is where you should look first.

Get Linear Algebra part 3 on Udemy

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Course Objectives & Outcomes for part 3

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How to solve problems in linear algebra and geometry (illustrated with 144 solved problems) and why these methods work.
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Use diagonalization of matrices for solving various problems from different branches of mathematics (ODE, dynamical systems).
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Work with geometric concepts as length (norm), distance, angles, and orthogonality in non-geometric setups.
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Orthogonal and orthonormal bases, and Gram-Schmidt process in various inner product spaces.
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Symmetric matrices and their properties; orthogonal diagonalization: how it is done and how to understand it geometrically.
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Quadratic forms and their connection to symmetric matrices: uniqueness of this correspondence and its consequences.
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Some concepts from abstract algebra: group, ring, field, and isomorphism; understand the concept of isomorphic vector spaces.
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Note: all the vector spaces discussed in this course are spaces over R (not over the field of complex numbers), and all our matrices have only real entries.
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Solve more advanced problems on eigendecomposition and orthogonality than in the second course.
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Inner product spaces different from R^n: space of continuous functions, spaces of polynomials, spaces of matrices.
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Pythagorean Theorem, Cauchy-Schwarz inequality, and triangle inequality in various inner product spaces.
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Min-max problems using Cauchy-Schwarz inequality, Best Approximation Theorem, least squares solutions.
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Positive/negative definite matrices, indefinite matrices; various methods of determining definiteness of matrices.
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Geometry of quadratic forms in two and three variables: conic sections and quadratic surfaces.
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Crowning of the course and a natural consequence of all the other topics: Singular Value Decomposition and pseudoinverses.
Vasanth G.
Udemy student
thank you for the effort you have put to make these videos, I am enjoying the process of learning
Richard H.
Udemy student
If you've already taken any of Hania's courses, then this will be beating a dead horse because you already know you can expect high quality.

Linear Algebra and Geometry 3 resumes right where part 2 leaves off, further building your intuition surrounding matrix diagonalization and eigenvectors. She touches on several useful auxiliary topics including an introduction to some abstract algebra concepts, solving systems of ODEs, difference equations, and more. As in my reviews for parts 1 and 2, I can't recommend this course enough.
Richard B.
Lecturer
This extends Hania's courses one and two with the same title, and it should be the most useful in terms of applications. It also is the hardest to present, if to follow the explicit style of the predecessors. Some abstraction is inevitable, handled carefully enough, but time is mostly spent explaining ideas and examining examples. The lectures are as easy to follow as any lectures could be, perhaps deceptively so, for some ideas are subtle. The students willing to listen and spend some time with the problems will be richly rewarded.
Adil H.
Udemy student
Words can't justify how good this course is , so lets try a different way
Theorem: The course taken yields an excellent experience.

Proof:

Let

C denote the course taken.

Suppose

C encompasses a comprehensive set of topics denoted by
T.
Let

E be the experience gained from

C.

We assert that

E is excellent, i.e.,
=Excellent
E=Excellent.

By the completeness property of

C, all essential concepts and methodologies are covered.

Furthermore, the pedagogical approach employed in

C fosters deep understanding and retention of knowledge.

Therefore, by definition, the course taken (

C) provides an excellent experience (

=
Excellent
E=Excellent)
Jim W.
Udemy student
This is a terrific course.
Keivan S.
Udemy student
Hania is incredibly knowledgeable and has a talent for teaching difficult concepts in an easy-to-understand manner. Her ability to break down complex ideas into simpler parts makes learning both enjoyable and effective. Highly recommended for anyone looking to master challenging subjects!
Francisco O.
Udemy student
There many pros in this course many examples and lot of formal proofs.

Graphical material is provided to clarifies the concepts in the course. The only con is that is a bit large. That is not a problem if you take the time to watch the videos. There are a lot of interplay between computations and theory. A great course. I want to make a suggestion, I wonder how plausible will be a series of Advance Linear Algebra.

That is all, I know Hania has yet her schedule of courses so my suggestion is for the long run. Thanks
Matteo M.
Udemy student
The course offers very interesting lectures, detailed and well-organised.
Mathematics is partly theory (philosophy) and partly "mechanics" of calculation. Without the mechanics of calculation, it remains abstract; without the theoretical part, understanding is lacking. That is why it is very important to exercise. Practice allows theory to become a technical skill and mechanics to acquire meaning.

Better if listened to with voice speed regulated x1.25 or x1.5.

Note: Section 2, Video 9 time 17.06 .. the automatic VTT .. " ... So then I will simply get back my vector by Arthur. " Do not thrust the text.
Samir A.
Udemy student
Explanation is concise and clear , Instructor is extremely helpful and active in clearing the doubts. I am glad i enrolled this course.
Alex
Udemy student
Absolutely loved this course! I had also taken the previous two. Hania explains things in such detail showing both clear logical reasoning and geometrical intuition. She does a great job of only using terms/methods/proofs that she explained previously.

All knowledge builds upon previous content. It is very well structured with plenty of solved problems. She doesn't overwhelm you with math symbols and instead focuses on concepts.

For any problem, I found it helpful to pause the video and solve it myself before resuming to see her formulate the solution.

This is a quality course that will give you a ground up understanding of linear algebra. I'm glad there are more videos to come!