Linear Algebra and Geometry 2 (Udemy.com)
Much more about matrices; abstract vector spaces and their bases; linear transformations animated with MANIM
Created by: Hania Uscka-Wehlou
Last updated August 2026
What you will 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.
Course Description
Linear Algebra and Geometry 2
Much more about matrices; abstract vector spaces and their bases
[None of our courses are produced using AI; they are all real-human products.]
Chapter 1: Abstract vector spaces and related stuff
S1. Introduction to the course
S2. Real vector spaces and their subspaces
You will learn: the definition of vector spaces and the way of reasoning around the axioms; determine whether a subset of a vector space is a subspace or not.
S3. Linear combinations and linear independence
You will learn: the concept of linear combination and span, linearly dependent and independent sets; apply Gaussian elimination for determining whether a set is linearly independent; geometrical interpretation of linear dependence and linear independence.
S4. Coordinates, basis, and dimension
You will learn: about the concept of basis for a vector space, the coordinates w.r.t.\ a given basis, and the dimension of a vector space; you will learn how to apply the determinant test for determining whether a set of n vectors is a basis of R^n.
S5. Change of basis
You will learn: how to recalculate coordinates between bases by solving systems of linear equations, by using transition matrices, and by using Gaussian elimination; the geometry behind different coordinate systems.
S6. Row space, column space, and nullspace of a matrix
You will learn: concepts of row and column space, and the nullspace for a matrix; find bases for span of several vectors in R^n with different conditions for the basis.
S7. Rank, nullity, and four fundamental matrix spaces
You will learn: determine the rank and the nullity for a matrix; find orthogonal complement to a given subspace; four fundamental matrix spaces and the relationship between them.
Chapter 2: Linear transformations
S8. Matrix transformations from R^n to R^m
You will learn: about matrix transformations: understand the way of identifying linear transformations with matrices (produce the standard matrix for a given transformation, and produce the transformation for a given matrix); concepts: kernel, image and inverse operators; understand the link between them and nullspace, column space and inverse matrix.
S9. Geometry of matrix transformations on R^2 and R^3
You will learn: about transformations such as rotations, symmetries, projections and their matrices; you will learn how to illustrate the actions of linear transformations in the plane.
S10. Properties of matrix transformations
You will learn: what happens with subspaces and affine spaces (points, lines and planes) under linear transformations; what happens with the area and volume; composition of linear transformations as matrix multiplication.
S11. General linear transformations in different bases
You will learn: solving problems involving linear transformations between two vector spaces; work with linear transformations in different bases.
Chapter 3: Orthogonality
S12. Gram-Schmidt Process
You will learn: about orthonormal bases and their superiority above the other bases; about orthogonal projections on subspaces to R^n; produce orthonormal bases for given subspaces of R^n with help of Gram-Schmidt process.
S13. Orthogonal matrices
You will learn: definition and properties of orthonormal matrices; their geometrical interpretation.
Chapter 4: Intro to eigendecomposition of matrices
S14. Eigenvalues and eigenvectors
You will learn: compute eigenvalues and eigenvectors for square matrices with real entries; geometric interpretation of eigenvectors and eigenspaces.
S15. Diagonalization
You will learn: to determine whether a given matrix is diagonalizable or not; diagonalize matrices and apply the diagonalization for problem solving (the powers of matrices).
S16. Wrap-up Linear Algebra and Geometry 2
You will learn: about the content of the third course.
Make sure that you check with your professor what parts of the course you will need for your final 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.
A detailed description of the content of the course, with all the 214 videos and their titles, and with the texts of all the 153 problems solved during this course, is presented in the resource file
"001 List_of_all_Videos_and_Problems_Linear_Algebra_and_Geometry_2.pdf”
under Video 1 ("Introduction to the course"). This content is also presented in Video 1.
Instructor Details
- 5.0 Rating
328 Reviews
Hania Uscka-Wehlou
I am a multilingual mathematician with a passion for mathematics education. I always try to find the simplest possible explanations for mathematical concepts and theories, with illustrations whenever possible, and with geometrical motivations.
I worked as a senior lecturer in mathematics at Uppsala University (from August 2017 to August 2019) and at Mälardalen University (from August 2019 to May 2021) in Sweden, but I terminated my permanent employment to be able to create courses for Udemy full-time.
I am originally from Poland where I studied theoretical mathematics and got pedagogical qualifications at the Copernicus University in Toruń (1992-1997). Before that, I enjoyed a very rigorous mathematical education in a mathematical class in high school "Liceum IV" in Toruń, which gave me a very solid foundation for everything else I have learned and taught later.
In my courses I teach various branches of university mathematics that I have learned from absolutely excellent lectures of my dear professors from Toruń: Mirosław Uscki (b.1946), Zbigniew Bobiński (b.1940), Paweł Jarek (1933-2013), and Stanisław Balcerzyk (1932-2005).
My PhD thesis (2009) was at Uppsala University in Sweden, with the title: "Digital Lines, Sturmian Words, and Continued Fractions".
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Reviews
By Дмитро Єдинач on 8/23/2025
This Linear Algebra 2 course was an excellent learning experience. The material was well-structured, with clear explanations that made complex topics easy to follow. The course design was very effective—modules were concise, slides were clean, and concepts were introduced step by step. The video editing was also impressive: smooth transitions, well-timed highlights, and engaging visuals that brought abstract ideas like vectors and transformations to life. Overall, it combined strong teaching, thoughtful design, and professional editing into a highly engaging course. I’d strongly recommend it to anyone looking to build a solid foundation in mathematics.
By Richard Harrington on 5/26/2025
Hania and Martin deliver again with another banger course. These lectures took significantly more mental stamina and probably twice the overall time working through material compared to part 1, but it was absolutely time well spent. Not for the faint of heart, but if you feel ready to start approaching the more advanced aspects of math, this is the place to be. Just be prepared to sit down with a pencil and paper and spend some quality time with each concept. The best part? You can finally impress all of your friends at parties with your ability to illuminate the dark mystery hidden in the much-feared eigenvector A topic so complex that one may choose to remain afar indefinitely... or is it?
By Sangyun Lee on 5/4/2025
I was already deeply impressed by Professor Hania’s teaching style in Linear Algebra 1. Her meticulous attention to detail, along with the intuitive guidance that kept me from getting lost in those details, was truly exceptional. Around the halfway point of this second course, I began to feel that everything I had learned so far was accumulating within me. The relationships between concepts became clearer, and I found myself gradually developing the ability to organize the material in my own words. I owe all of this to Hania's carefully structured lectures and well-chosen problems. In particular, I found the inclusion of exercises involving function spaces and spaces of matrices—not just ordinary vector spaces—tremendously helpful for solidifying key concepts. Now I’m moving on to Linear Algebra 3, and this time it feels quite different. When I started this second course, it was with a vague sense of obligation—just the natural next step. But the way Hania ended this course, with her introduction to eigenvalues and eigenvectors, felt like a true cliffhanger. It left me with a strong sense of anticipation for what’s to come. Thank you, Hania. Truly.
By Matteo Maglio on 3/3/2024
I can't have higher expectations not met by this course. I have already followed other Prof. Hania's courses, which are always of top quality, with a focus on detailed and clear explanations. This course, like others, is well-organised, structured, detailed and logical. Language: The professor is not a native English speaker, but speaks crystal clear academic English. Incidentally, Udemy's automatic Voice2Text sometimes fails, especially when the Professor, not a native speaker, sounds tired, so don't trust 100% the automatic text generator.
By Anonymized User on 12/10/2023
I'm bit low confident before doing this course regards to Linear Algebra. Now I'm pretty confident in Linear Algebra.The all credit goes to the teacher. Everyone must should do this course. She taught the course pin to pin in good understable manner , which make you the concepts understanding clearly. The proofs also gives more insights and keeps you strong in LA.
By Derick Blacido Contreras on 3/10/2022
This course is a continuation to Linear Algebra 1 . The topics covered here are offered with in-depth explanation and lots of exercises along the way. Each section is a real joy. You will learn a plethora of things which are normally tough to grasp and besides be able to connect it all. At bottom, everything in linear algebra is connected and this course fulfills the purpose. What's more, textbooks require lots of dedication and sometimes the math behind it is difficult to grasp in terms of vocabulary, proofs, connections. It all sums up to being a nightmare.While this course tackles it all with less pain but same benefits are obtained. It brings tangible hope. You just need to be dedicated and disciplined in your learning. Professor Hania will do the rest. Believe me, it is worthy. On top of that, any online course just touches the surface of the topic and it is not rigorous even though they might be good at delivering the big picture and analogies to understand, but you keep asking what's behind the black box. Indeed,professor Hania covers nearly all details, the big picture ... and if your have a question, she offers quick in-depth feedback not only in this course but all courses she delivers. I am really pleased I found professor Hania!
By Karim MERNIZ on 9/30/2021
Another great course I proudly finished ( at least at 94% cause I skipped some proofs and other stuff to which I’ll come back later). I simply love how these lectures train your brain and help you become a free thinker. I don’t know how I could live without watching these awesome lectures. I’m going to a pilot school very soon (if not a mechanical engineering school). I’m sure these lectures have helped gain a lot more maturity, critical thinking and intelligence that are needed more my studies and career. I still have the two calculus 3 courses to watch to keep me busy and prepared. I can’t wait for all the other courses (precalc, calculus 1&2, linear algebra 3…) Many thanks Hania.
By Wanda Woźnica on 8/21/2021
Excellent explanations, illustrations and many solved problems of various levels of difficulty. The link between matrices and linear transformations is fascinating, beautifully shown with many pictures. The topics in this course are more difficult than in the first course, but Hania explains everything very clearly. She is an excellent teacher, and I can recommend all her courses to everybody who wants to understand mathematics (also visually) and learn how to solve problems. This is my 4th course by Hania and Martin that I've completed and I can recommend all of them.
By Sureshkumar M S on 8/19/2021
After finishing part1 of this course, I took this part2 and completed in a week. Similar to part1, this part was also excellent. The structure of the course, ordering of chapters, choice of worked out problems from diverse topics, intuition behind the hard concepts were very well planned ensuring students understand easily. I loved particularly the chapters on diagonalization, Gram-Schmidt algorithm, Eigen values and Vectors, change of basis. All the topics are handled as byte sized chunks for easy understanding. Thanks to Professor for putting together this excellent course Go for it!!!
By Christer Oscar Kiselman on 8/4/2021
Yes, amazing, but as expected, since this is the fourth course by Hania that I have followed. Indeed, I can only reiterate my words from the earlier ratings: this is a true masterpiece. A True Masterpiece. This applies to the planning, to the introduction explaining to the students what they are about to learn, to the process of dividing the whole theory and its concepts into units, to the presentation with a friendly way of talking and explaining easy and difficult concepts, proofs, and more or less complicated figures and diagrams. So, all in all, a true masterpiece. I do hope many students will join.
Quality Score
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Overall Score : 100 / 100











