The best aspects of the course included the cutting-edge lessons on compressed sensing and the kind professor. The topic was very interesting and students got to learn the practical aspect of things as well. The worst aspects of the course included the chal enging and comprehensive homework assignments, many of which seemed to have a strong mathematical base. The course would improve if there were more programming assignments and more chal enging homework assignments to help student grapple with the more difficult content. Prospective students should have some math background in this highly recommended course.

This course not only focused on compressed sensing, but also added some introduction related material of discriminative applications, which turned out to be more generalized research problems. Also, the professor’s had amazing lecturing abilities and was motivational to his class. The only negative aspect in this course was the short time (1 week) between the first and second presentations. Prospective students should have a math background in linear algebra.

The best aspects included the relatable and effective professor, the 1-on-1 feedback sessions, and the obvious student progress made throughout the semester. Many students agreed that the method of working on different iterations of the same speech was an effective approach, and that the professor’s guidance was very helpful. Some students felt the semester course was too short and would have benefited from a full semester of work. Suggestions for improvement included having opportunities for individual presentations. Prospective students should be prepared for a significant amount of speech preparation every week and the opportunity to improve public speaking and presentation skills.