The first midterm will be applied at September 30th. It will have two parts: first one during class and second one you will have 24h to submit your solution on Canvas. Here is a list of topics organized by their level of “forgiveness”, importance and other criteria I don’t remember:
Hello everyone! I’ve just uploaded the presentations I made for our last class. There are some exercises I made in the last slide of the Matrix Map presentation. I strongly recommend you give them a try…
Wow! Next 24th August will be our first class! Stay tuned!
All the courses I am teaching this semester
Introduces the basic notions of Probability: random variables, expectation, conditioning, and the standard distributions (Binomial, Poisson, Exponential, Normal). This course also covers the Law of Large Numbers and Central Limit Theorem as they apply to statistical questions: sampling from a random distribution, estimation, and hypothesis testing.
Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits
This course is an introduction to linear algebra. Topics we will cover include basic properties of systems of linear equations, matrices and matrix algebra, determinants, vector spaces, subspaces, linear independence of vectors, basis and dimension of subspaces, linear transformations, eigenvalues and eigenvectors of a matrix, orthogonality of vectors, inner product and length of vectors.