Linear Algebra and Geometry 1 (Udemy.com)
Systems of equations, matrices, determinants, vectors, and geometry of straight lines and planes in the 3-space
Created by: Hania Uscka-Wehlou
Last updated August 2026
What you will learn
- How to solve problems in linear algebra and geometry (illustrated with 175 solved problems) and why these methods work.
- Solve systems of linear equations with help of Gauss-Jordan or Gaussian elimination, the latter followed by back-substitution.
- Interpret geometrically solution sets of systems of linear equations by analysing their RREF matrix (row equivalent with the augmented matrix of the system).
- Matrix operations (addition, scaling, multiplication), how they are defined, how they are applied, and what computational rules hold for them.
- Matrix inverse: determine whether a matrix is invertible; compute its inverse: both with (Jacobi) algorithm and by the explicit formula; matrix equations.
- Determinants, their definition, properties, and different ways of computing them; determinant equations; Cramer's rule for n-by-n systems of equations.
Course Description
Linear Algebra and Geometry 1
Systems of equations, matrices, vectors, and geometry
[None of our courses are produced using AI; they are all real-human products.]
Chapter 1: Systems of linear equations
S1. Introduction to the course
S2. Some basic concepts
You will learn: some basic concepts that will be used in this course. Most of them are known from high-school courses in mathematics, some of them are new; the latter will appear later in the course and will be treated more in depth then.
S3. Systems of linear equations; building up your geometrical intuition
You will learn: some basic concepts about linear equations and systems of linear equations; geometry behind systems of linear equations.
S4. Solving systems of linear equations; Gaussian elimination
You will learn: solve systems of linear equations using Gaussian elimination (and back-substitution) and Gauss--Jordan elimination in cases of systems with unique solutions, inconsistent systems, and systems with infinitely many solutions (parameter solutions).
S5. Some applications in mathematics and natural sciences
You will learn: how systems of linear equations are used in other branches of mathematics and in natural sciences.
Chapter 2: Matrices and determinants
S6. Matrices and matrix operations
You will learn: the definition of matrices and their arithmetic operations (matrix addition, matrix subtraction, scalar multiplication, matrix multiplication). Different kinds of matrices (square matrices, triangular matrices, diagonal matrices, zero matrices, identity matrix).
S7. Inverses; Algebraic properties of matrices
You will learn: use matrix algebra; the definition of the inverse of a matrix.
S8. Elementary matrices and a method for finding A inverse
You will learn: how to compute the inverse of a matrix with Gauss-Jordan elimination (Jacobi’s method).
S9. Linear systems and matrices
You will learn: about the link between systems of linear equations and matrix multiplication.
S10. Determinants
You will learn: the definition of the determinant; apply the laws of determinant arithmetics, particularly the multiplicative property and the expansion along a row or a column; solving equations involving determinants; the explicite formula for solving of n-by-n systems of linear equations (Cramer's rule), the explicite formula for inverse to a non-singular matrix.
Chapter 3: Vectors and their products
S11. Vectors in 2-space, 3-space, and n-space
You will learn: apply and graphically illustrate the arithmetic operations for vectors in the plane; apply the arithmetic operations for vectors in R^n.
S12. Distance and norm in R^n
You will learn: compute the distance between points in R^n and norms of vectors in R^n, normalize vectors.
S13. Dot product, orthogonality, and orthogonal projections
You will learn: definition of dot product and the way you can use it for computing angles between geometrical vectors.
S14. Cross product, parallelograms and parallelepipeds
You will learn: definition of cross product and interpretation of 3-by-3 determinants as the volume of a parallelepiped in the 3-space.
Chapter 4: Analytical geometry of lines and planes
S15. Lines in R^2
You will learn: several ways of describing lines in the plane (slope-intercept equation, intercept form, point-vector equation, parametric equation) and how to compute other kinds of equations given one of the equations named above.
S16. Planes in R^3
You will learn: several ways of describing planes in the 3-spaces (normal equation, intercept form, parametric equation) and how to compute other kinds of equations given one of the equations named above.
S17. Lines in R^3
You will learn: several ways of describing lines in the 3-space (point-vector equation, parametric equation, standard equation) and how to compute other kinds of equations given one of the equations named above.
S18. Geometry of linear systems; incidence between lines and planes
You will learn: determine the equations for a line and a plane and how to use these for computing intersections by solving systems of equations.
S19. Distance between points, lines, and planes
You will learn: determine the equations for a line and a plane and how to use these for computing distances.
S20. Some words about the next course
You will learn: about the content of the second 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 222 videos and their titles, and with the texts of all the 175 problems solved during this course, is presented in the resource file
“001 Outline_Linear_Algebra_and_Geometry_1.pdf”
under Video 1 ("Introduction to the course"). This content is also presented in Video 1.
Instructor Details
- 4.8 Rating
1,295 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 Silje Madsen on 7/26/2026
I have had introduction to linear algebra at university, but I needed a refresher before I begin next semester. This course is fantastic! She explains so well, I can finally understand the material! And she goes in depth, with many examples and graphs and models so I truly understand. So this course has been fantastic so far!!
By Prerak Sheth on 6/9/2026
Nive explanation. May be a little more problems would be helpful
By Josué Jiménez García on 4/26/2026
It's really good. Usually these types of courses starts with vectors and then they move on matrices. Well, this ones starts from the end to the begining, and yet you undertand everything
By Kerry Wyckoff on 4/19/2026
Each concept is explained clearly and thoroughly. Then the concept is demonstrated through several complete examples. She generally provides background that most instructors leave out. This allows students who have forgotten or have not previously seen background material to easily follow her presentation of new concepts.
By Megha Patel on 3/10/2026
This is probably one of the best courses anyone can find in this category. Every concept is explained in a very intuitive, clear, and detailed manner, making even difficult topics feel approachable. The instructor does an excellent job of building ideas step by step, ensuring that the learner not only understands how something works but also why it works.
By Niresh Shrestha on 3/3/2026
Just started so
By Kevin Gershy-Damet on 1/24/2026
Courses like this are precious. It's quite difficult to find professors that actually master their field and at the same time know how to transmit their knowledge in a proper, intuitive way by starting from the very basics. I took this course for simple curiosity about the intuition on the determinant and it's application in geometry, as back in school I learned it in a very memoristic (awful) way. I can say this course met all my expectations. Thank you!!
By Richard Harrington on 4/22/2025
Hands down the best Linear Algebra course out there. Hania's keen teaching skills combined with her husband Martin's thoughtful editing make for a seamless transition into an otherwise tricky subject. If you are a self-learner especially, you will appreciate how Hania builds up both your computational chops and geometrical intuition. She also pays careful attention to not glossing over assumed prerequisites, explaining each topic thoroughly and efficiently. It should suffice to say, this lays the perfect foundation for deeper studies in Linear Algebra. I highly recommend taking this course.
By Sangyun Lee on 4/5/2025
An exceptional course led by an exceptional teacher. What makes Hania’s teaching truly special is how she balances all those matematical precision with overall big picture. Every detail - I mean EVERY detail - is in her course, yet she gently guides us through intuitive meanings so that we don’t get lost in the complex forest of mathematics. Try this. You'll never regret,
By Asim Wadoodi on 3/18/2025
Absolutely fantastic. You're offering a University level course here on Linear Algebra. I'm planning on purchasing all your other courses! I'll be purchasing pre-calc courses first before I move onto Linear Algebra 2! Thank you, Dr. Hania! My only wish is that you continue to create more advance courses on University Mathematics!.
Quality Score
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Overall Score : 96 / 100










