6.454 is a graduate seminar exploring advanced topics in area I, including communication, control, signal processing, and optimization. We also consider connections to related fields, including computer science and machine learning.
At the first class meeting, participants will divide into small groups, each of which will choose a topic about which they will present a series of related papers. In each subsequent week, a different student will lead a recitation-like survey of their chosen paper(s). Prior to that presentation, he or she reviews the literature (with faculty assistance as required), and produces a written summary suitable for distribution.
Students from the Digital Signal Processing Group (DSPG), and the Laboratory for Information and Decision Systems (LIDS), have developed this course with the guidance of several members of the faculty, including Prof. David Forney and Prof. Vahid Tarokh. For more information, see the original course proposal.
Web sites and presentation materials from previous terms are still available online: