The best aspects of the course included the independent projects students got to work on, and the hands-on experience of the class. The worst aspects of the course included the lack of guidance and feedback on student projects. There was a lack of structure in the class and the professor didn’t really provide much assistance to students. The course would improve if the students had more guidance and feedback on their work. Prospective students should know that the class is based on a project that they wil work through during the entire semester, and that they should choose a project that they wil be comfortable working with.

The best aspect of this course was the theoretical and practical content of medical image analysis that was covered. The instructor was a talented lecturer, and he also made sure that everyone understood the material. In addition, students learned by completing projects with teammates. The workload was heavy, the exams were heavily comprehension-based, and some topics could have been emphasized more. Students suggested that less material be covered so that they grasp an understanding of the subject matter, and that the workload be lessened. It was recommended that prospective students have a background Image Process Analysis I.

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.