kate25

E/E E/E E/VG Fellowship awarded. This is my second year applying - last year as an undergrad I got HM. I think what made the difference for me was publications; last year I had none, this year I had two. Congratulations to all the fellows and HMers!

E/VG VG/VG VG/E Got HM. I received constructive criticism from the first two reviewers. The comments from the third reviewer just seemed like a summary of my application.

Honorable mention too. It says in my email that review sheets will be available in three business days.

Yes, I got an official offer letter from the stats department. But I imagine it might be different for various departments.

I'll be attending the PhD program in Statistics.

Hey guys, I'm planning to start a PhD program in statistics next fall, and I'm trying to choose two of the four following classes to take next semester. Which do you think would prepare me better? Automata, Computability, and Complexity: Circuits and decision trees, finite automata, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. Examines the classes of problems that can and cannot be solved in various computational models. Number Theory: Primes, congruences, quadratic reciprocity, diophantine equations, irrational numbers, continued fractions, partitions. Introductory Topology: Topological spaces and continuous functions, connectedness, compactness, separation axioms, and selected further topics such as function spaces, embedding theorems, dimension theory, or covering spaces and the fundamental group. Optimization Methods: Linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Thanks in advance.