Semester.ly

Johns Hopkins University | EN.520.435

Digital Signal Processing

3.0

credits

Average Course Rating

(3.78)

Methods for processing discrete-time signals. Topics include signal and system representations, z- transforms, sampling, discrete Fourier transforms, fast Fourier transforms, digital filters.

Fall 2012

(3.84)

Fall 2013

(3.84)

Fall 2014

(3.67)

Fall 2012

Professor: Howard Weinert

(3.84)

Students enjoyed the practical course material. They also said that the professor was knowledgeable and an effective teacher. Some students said that the lectures did not prepare them for the homework and that the exams were overly difficult. Many students also felt that the professor did not care about students’ success in the course. Students suggested having more examples in class or more practice problems and making the exams more like the homework problems. Students with a solid background in signals and systems will benefit from this course, but it is very chal enging if you don’t have much experience with the subject.

Fall 2013

Professor: Howard Weinert

(3.84)

The best aspects of this course included learning the basics of the field and getting to apply the theories studied in class in the assignments. Students found that many of the materials covered in the lectures did not end up on the exams, and that although the homework assignments were similar to the exam materials, they did not provide enough information for students to feel prepared. Suggestions for improvement included adding a section to go over additional practice problems and study sessions. Students also wanted to go more in depth on many of the topics covered in class. Prospective students should know how to use MATLAB, calculus, and signal and systems. Students should be prepared to look to outside sources for additional support and practice questions.

Fall 2014

Professor: Howard Weinert

(3.67)

Students praised this course for having a talented instructor who taught material in a clear and comprehensible way. Students had a variety of issues with the course’s homework. Multiple students disliked that the course required students to type up their homework. Other students disliked the homework which was described as both hard and disconnected from lectures. Suggestions for improvement included a desire by multiple students that the course include more examples or practice exams so they would be more prepared for homework or exams. Prospective students should know that students found the course to be chal enging and that it was helpful to know how to use MATLAB.