The best parts of this course were the professor, who was a good lecturer, and the organized lecture notes he made available before class. The course provided a good introduction to image processing. The negative aspects were that the lectures did not prepare students for the difficult homework assignments, and there were not enough examples in class. Also, students did not like that there was only one midterm. They suggested including more examples or practice problems in the class. Students planning on taking this course should have some familiarity with signals and systems.

Students thought that the best aspect of this course was that it was well suited for beginners and people learning about image processing and analysis. Students though that the materials covered in the lecture did not reflect what ended up on the exam, and that the examples needed to understand the homework and exam questions were never gone over in class. Students suggested adding more examples in the class and more practice with applications problems would help. Prospective students should have a strong background in signals and systems and to be prepared to attend extra sessions in order to get the support they need to learn the materials.

Students praised this course for presenting a well-organized introduction to image processing. Students had issues with the course; multiple students felt they weren’t given enough examples of how to solve problems so they weren’t sure what to expect on exams. Suggestions for improvement included a widespread desire by students that the instructor go over a variety of examples in order to help students better understand concepts. Prospective students should know that students found it important to have a decent understanding of signals and systems and that a good knowledge of basic probability, statistics and multivariable calculus was helpful when taking the course. 118