Goal: The goal of this class is for students to learn about digital signal processing (DSP) with a focus on computational methods. By the end of the class, students should be able to ...
Topics: We will follow the order of presentation in Think DSP:
Class work includes:
Readings from Think DSP and other sources.
In-class exercises.
Weekly progress reports.
A case study.
This is a two-credit class that runs for a half semester, so students should allocate 12 hours per week for this class. We will spend about 3.5 of those hours in class, and students will spend 2-3 hours per weeks on reading, leaving about 6 hours per week students should spend working toward their learning goals. I will work with students to help them make the best use of this time.
Readings: We will read one chapter per class session. Chapters will be posted on NB where students should make comments and respond to other students. Students should come to class prepared to ask questions and work on in-class exercises.
Progress reports: Each week students turn in a progress report that documents their work for the week. Students have flexibility to allocate their time in different ways, but should be able to document their progress. These reports are also an opportunity for students to reflect on their progress toward their learning goals.
Case study: Each student should develop a case study that applies the methods we learn to sound and image processing applications, or other applications of interest to students.
Students can work on the case study individually or in small teams.
Grading: This class uses experimental grading, which means that I will provide qualitative feedback throughout the session, but the final grade is pass/fail. To complete this class, students must turn in weekly reports in a timely manner and complete a satisfactory case study.