 Lecture 1: (Introduction to general theory of systems)
 Lecture 2: (Inputoutput discretetime/continuoustime/memoryless/invariant systems)
 Lecture 3: (Systems as signals, introduction to filters)
 Lecture 4: (Paul Dirac and Sergei Sobolev's improper/generalized functions)
 Lecture 5: (Other motivations for distributions: Sergei Sobolev's and Laurent Schwartz's notion of weak solutions)
 Lecture 6: (Schwartz's formal theory of distributions)
 Lecture 7: (Properties and examples of distributions)
 Lecture 8: (Regular and nonregular distributions)
 Lecture 9: (Operations on distributions)
 Lecture 10: (Derivative in the sense of distributions)
 Lecture 11: (Convergence in the sense of distributions)
 Lecture 12: (Fourier series of Dirac comb: sampling and approximating)
 Lecture 13: (Schwarz space of functions)
 Lecture 14: (Tempered distributions)
 Lecture 15: (Examples and properties of tempered distributions)
 Lecture 16: (Fourier transform of tempered distributions I)
 Lecture 17: (Fourier transform of tempered distributions II)
 Lecture 18: (Distributions with compact support)
 Lecture 19: (Back to systems: convolution on the space of functions)
 Lecture 20: (Convolutions and Fourier transforms)
 Lecture 21: (Convolutions on the space of distributions I)
 Lecture 22: (Review on distributions)
 Lecture 23: (Convolutions on the space of distributions II)
 Lecture 24: (Causal and acausal distributions)
 Lecture 25: (Convolutions of distributions and Fourier transforms I)
 Lecture 26: (Convolutions of distributions and Fourier transforms II)
 Lecture 27: (Introduction to sampling theorem)
 Lecture 28: (Poisson summation formula for compactly supported distributions)
 Lecture 29: (Poisson summation formula and convergence in Schwartz space)
 Lecture 30: (Applications: Nyquist sampling rate)
 Lecture 31: (Applications: Shannon's reconstruction formula)
 Lecture 32: (Applications to communications: Narrowband signals)
 Lecture 33: (Applications to communications: Amplitude Modulation (AM))
 Lecture 34: (Applications to communications: Frequency Modulation (FM))
 Lecture 35: (Review session)
