밴더빌트 대학교의 Introduction to Data, Signal, and Image Analysis with MATLAB 학습자 리뷰 및 피드백

The course assessments are great. The feedback is helpful.

The instructor answers questions, fixes potential problems in a timely manner.

The videos are a mixed bag. It is obvious that the instructor took a long time/a lot of effort to make them. 1. they are way TOO LONG: 1h 30 minutes is not a good length for any instructional video. A good video is 15 to 20 minutes long. 2. In some of the videos, esp at the beginning, the instructor explains WHAT he is doing but not WHY. I would follow but not understand why I was doing what I was doing. 3. they are COMPLETE, i.e. if you listen, download and re-listen, you will get all you need. I highly recommend you download them and put your notes along side.

Thank you so much for such an amazing course. Teacher is incredibly talented teacher. Your curriculum, assignments, hint and feedbacks were awesome. I admire the effort and sacrifice that put into course.

Excelente curso. El profesor explica muy bien y los videos estan muy claros. Las taréas son bien dirigidas.

This course is really good for basic understanding of image processing, signal and data analysis

This course covers a range of data processing functionalities in Matlab and inspires curiosity for more. The videos are well set up, although pretty long at times. For each chapter there is a variety of quizzes and auto-graded assignments (the quizzes are mostly assignments as well which are to be solved with Matlab as a program or Matlab online). The guidance through these assignments is excellent, following the lectures and a little research outside makes them not too hard but still exciting. The same goes for the final project. Every single assignment is auto-graded, not peer-review stuff whatsoever, which is a big plus in my opinion. Overall chapeau for an awesome course!

High quality, well presented course that really is a comprehensive introduction to data, signal and image analysis. The assessments are really cleverly designed to allow you to get some practice with the taught materials, as they are NOT peer reviewed and are instead marked automatically. This is great as you get immediate and useful feedback. I would highly recommend the course.

First of all, I want to thank Professor Jack Noble, for a wonderful course on data, signal and Image analysis, who made complex topics very easy to understand and guided us through the whole course, always helping with our question, a course 100% recommend for everyone who wants to get introduced, in data, signal, and image analysis.

this course awesome! instructor, quizzes and more just awesome. Thank you for everything.

Great specialization, very vaired in topics and good level of explanation

Excellent... Nice content!!!!

Very informative course!

Great practical exercise

Challenging yet worth it

Great Course

Thank you

THANKS

nice

I'm satisfied enough with this course. Thank you for all the effort you put in Jack! Some parts like Data Analysis were a bit difficult for me to understand (cause I hadn't any experience in this domain before) but with your precise advises on the assignments I manage to make it through the end. I would like to thank everyone else who contributed in the creation of this course as well as the Vanderbilt University.

I really liked the fact that the final project included knowledge of the data and image analysis modules and the focus on image analysis was really interesting. The codes provided by the teacher are very helpful. Great experience overall!

Teaches very important and useful subjects. The videos are excessively long, with considerable time wasted watching the instructor typing on the command window - it's hard to keep the focus and important points are easily missed/forgotten. I ended up loosing interest... Luckily the assignments are not complex, are very well explained and there are plenty of tips in the discussion forums, so passing is not a big challenge.

I'd appreciate it more if more thought went into the homework problem selection. Shorter video lectures would be appreciated too. Thank you.