The best aspects of the course included the useful and interesting material, as well as the application oriented projects. The worst aspects of the course included the heavy workload, and heavily weighted exams. There were only two exams, which students felt was insufficient for the amount of material that was actually covered in the class. The course would improve if the exams were reflective of material students learned in class and if much of the content was covered in a more effective way. Prospective students should have some background in Signals and Systems to prepare themselves for the chal enge of this course.

The students who were enrol ed in this course were given total freedom of their FPGA project. This al owed them to explore what they were interested in, instead of being told what to do. The projects were completed in smal groups, and gave a helping hand throughout the course. The huge dependency on group mates seemed unfair to students when it came to their grades. Also, some students hoped for more guidance from the professor. To improve this course, students suggested that weekly progress reports be submitted so that the professor can assess their performance. Prospective students must take FPGA I in order to ful y understand this course.

The best aspects of the course included the ability to apply theoretical concepts directly and work with image analysis software. Students also appreciated the comprehensive presentation of information. Students felt that the workload was heavy and some material was difficult to keep up with and understand. Suggestions for improvement included having weekly sections for students to ask questions, providing more background on algorithms introduced in lecture, and introducing a variety of algorithms in lecture material. Prospective students should have a strong background in calculus, statistics, and probability. Students interested in medical image processing are encouraged to take this course and should be prepared for the steady workload.