Great introduction the I/O-centric model of computation. The course was fairly easy to follow but the quizzes were a bit confusing at times. There's also not much support going around in the discussion boards. Nevertheless, the material is easily self-teachable and you'll come out of the course knowing a couple more tools and tricks than you started with.

This course was great!

The lectures are clear, the material is deep, and the problem-sets challenging.

Even better, it covers an aspect of algorithms that is often overlooked --- i.e., the cost of I/O, as opposed to the cost of instructions. This cost is important to take into account when dealing with big datasets (or limited memory --- and there are places where memory can be limited, even today).

Everything was clearly explained and the questions were quite intuitive and checking my knowledge. More examples for different scenarios too would help us a lot to learn more.

The course is really good and the course material is also amazing. I highly reccomend it provided you have an interest in this specialization.

Really like the course. Though it's difficult and challenging, I managed to understand the concept. I will keep practicing.

Excellent course. The lectures are of top quality. The quizzes are well thought out.

Good learning materials but at same places too theoretical (in my opinion).

An introduction to the I\O-efficient algorithms. Short and sweet!

Very precise and efficient course.

Excellent

Thanks for the tuition

VERY GOOD

good

Great course, but interface is quit lacking, because course notes are under different section

The evaluations should have been more in number.

The course touched on critical theoretical concepts around I/O efficiency while designing algorithms but I felt the resource notes lacked depth and clarity (they had overlap with the video lessons). Would have been good to get insight into solutions for exercises (at least on the course notes)