Interesting, but just scratching the surface of processing and visualization.

This course is not as useful and valuable as the previous courses.

Better if we had to code ourselves rather then using written codes

I really didn't learn much. Too much code, too complex, too fast.

This course had no code writing, which made it kind of boring.

Nothing to create by ourselves but a lot of apps just to run

Could have been better. The explanations are rushed through

It is a good capstone, but it is very time consuming!

mostly using a prepared scripts, not much learning

Nice course, yet more hands on work was expected.

Not enough practice and pythonic visualization

Really basic but the material is good

there is nothing new in this course

Could have more hands-on exercises.

Assignments could be a lot better

too easy assignments, no points!

Could have been more hands on.

too easy for final capstone.

It is a very light course!

thanks

good.

Good

good

ok

As an experienced programmer, I am disappointed. The assignments cover a good set of tools; the capstone project. Overall, the course is well structured; content switches between running a sample project and a student project. Collaberation is encouraged. Unfortunately, the example project is poorly written and buggy. I finally lost confidence in the instructor when I saw circular programming in program gmodel.py between function "fixsender" and array "mapping". The student selected project was entirely optional. There are comments in the forums from students pointing out bugs; other comments stated that the course's exercises left commenters unable to perform the final, capstone project. Overall, the presentation looks rushed and unpolished. Example code looks like it was hobbled together until it worked and never edited for clarity. If someone I cared about wanted examples of good programming, I would tell them to avoid this.