This series ended on September 4, 2022. All 1:1 and group chats related to this series are disabled 7 days after the last session.
Series Details
About
Despite it's simple foundations, linear algebra is a subject taught to undergraduate students, typically after Calculus II. However, I have found linear algebra to be simple to learn and a powerful tool for mathematicians. In this series, we will explore the fundamentals of linear algebra, looking at vectors, matrices, linear transformations, and linear modeling. Students should have taken at least algebra II. Any knowledge regarding functions and matrices from precalculus will also be helpful.
Tutor Qualifications
I took this course at Harvard Summer school, and have taught it to several people in the last few months.
✋ ATTENDANCE POLICY
Attendance is not required, but please try to make every session, as topics can get confusing if you miss knowledge from previous sessions.
Dates
August 20 - September 4
Learners
11 / 30
Total Sessions
5
About the Tutor
RL
Hi! I'm a high school senior studying in New York. I tutor all sorts of subjects, ranging from advanced math topics to SAT preparation. I hope to see you in my sessions!
View Ryan L's Profile
Upcoming Sessions
0
Past Sessions
5
20
Aug
O
Session 1
Orientation
Introduction, we will cover what linear algebra is, systems of equations, and Gauss-Jordan elimination.
24
Aug
EM
Session 2
Even More Math
We will cover vectors, properties of matrices, the kernels and images of a matrix, and what makes a transformation linear.
28
Aug
EM
Session 3
Even More Math
We will cover special vectors and matrices, including orthogonality, perpendicular subspaces, and projection matrices.
31
Aug
EM
Session 4
Even More Math
We will take a look at different ways to represent real world problems in the math of linear algebra, including transition matrices, quadratic forms, and least square estimations.
4
Sep
EM
Session 5
Even More Math
We will take a look at a special case with Fourier analysis, seeing how it is used in the real world and how we can do the math ourselves.