**About this course: **Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.

This is a fantastic course -- thank you to Professors Prandoni and Vetterli for providing such a high quality course on digital signal processing at no cost. I'm embarrassed to say that it took me multiple attempts to complete this course over four years. This is a long period of time, and aside from the typical excuse of my work getting in the way, I was also simply not prepared for the mathematics in this course without some additional preparation. I was dedicated to this class because I recognized how well structured and clear the materials are and the importance of these concepts, which is emphasized so well in the introduction to the course. I'm so glad I persisted because this subject is foundational to more advanced studies and has provided a view into our digital age that I could not find anywhere else. Again, thank you for this course and for spreading this knowledge to the uninitiated.