7.1, due on November 17

The idea of Monte Carlo integration is pretty cool. It made a lot of sense when the book explained how it was similar to a Riemann sum but with points randomly selected from a uniform distribution on [a,b]. That helped me understand the fundamental difference between Monte Carlo integration and other ways to compute the integral.

I would like to go over in detail why the SEM has the equation it does. That was the least intuitive part of the section.

I don't feel like I did so well on the test yesterday, and I've thought about how I can improve. I think my goals for the rest of the semester are to take time to ponder the reading, pay 100% attention in class, and proactively do the homework by myself each day and then come to the others to work on the problems I didn't understand. I think that'll give me a more solid foundational understanding of the content of each section, and I'll be more prepared for exams.

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