Linear Algebra
Infinite Random Matrix Theory
Principles of Digital Communications I
Lecture 6: Underlying theory: applied linear algebra
Lecture 5: Applications to dynamics: eigenvalues of K, solution of Mu'' + Ku = F(t)
Lecture 26: Complex Matrices; Fast Fourier Transform
Lecture 4: Wrapping Up Fourier Series; Making Sense Of Infinite Sums And Convergence
Multivariable Calculus with Theory
Notes_2016_17
Notes 2017/18