Road to Computer Science

Here i am writing on this blog again. This is a really important post, expecially for me, to keep track of how my bachelor is going on. After completing the second part of the design & analysis course, my mind just got blank, and suddenly i'm not really sure to keep going. " I need a recap. Now " - I thought, so, that's my recap Back to Basics In my previous similar posts, i took my first table/schedule, and looked what i've accomplished, and what i've to do. Right now, i've completed 7 courses (Algorithms (composed of part 1 and 2), Single Variable Calculus, Multivariable Calculus, Linear Algebra, Introduction to CS and a focus on statistic with OOP programming in python, and brief starting in Physics, on Udacity). That's not bad for sure, but i'm really far off to complete my objective. I've also started 3 courses: 1) Physics at Yale, 2) Databases at Stanford and 3) Circuits and Electronics at MIT. Great courses indeed, b...

H ola everyone! It's a me, Filippo! (from Italy as you, obviously, damn mustached plumper) Finally, i've ended another exam, and it was a tough one, the second (and last) part of the Design & Analysis of Algorithm done by Stanford ( here ) Course Overview The course i took is literally the same i previously started on coursera, but with a substantial difference. The OpenEdx platform, compared to the one built by Andrew Ng, was more challenging, leaving only 2 tries for each theory question and 10 trials for the practice programming exercises, which are notoriously hard (mainly due to the size of the input). The second part f the course covert MST (minimum spanning trees), dynamic programming, SSSP and APSP, NP-complete problems and heuristic. The MOOC has also a final exam, which covers all the material previously seen. The course instructor is tim roughgarden, which is a great tutor imo, as altready discussed. The course covers the topics listed above during the...