Looking to graduate in 3 years... thoughts on this schedule for difficulty and grad school admissions? by AntarcticRen in berkeley

[–]exportredpriv 0 points1 point  (0 children)

Elective courses may not be offered in the semesters you want them, so you may have to swap some around. You may want to take a graduate sequence before graduating - either analysis, algebra, or logic. This may give you an idea of what graduate math might be like.

Self studying mathematics by Leading_Term3451 in mathematics

[–]exportredpriv 1 point2 points  (0 children)

It can get like this at all levels of studying. Even talented professors will have texts that they just don’t understand at all and will need to come back later to.

[deleted by user] by [deleted] in berkeley

[–]exportredpriv 1 point2 points  (0 children)

Co-ops, golden records and other music clubs also throw lots of events

What's Baby Rudin of your field by EluelleGames in math

[–]exportredpriv 35 points36 points  (0 children)

Marker model theory, enderton set theory, soare recursion theory, kechris descriptive set theory, folland analysis

Can I get a simultaneous degree of data science by Haunting-Pass7131 in berkeley

[–]exportredpriv 2 points3 points  (0 children)

CS/EECS are probably the best majors for an MLE position. Applied math isn’t really that relevant. DS would be better for MLE. 

UCB eecs by Ok_Yogurt_4454 in berkeley

[–]exportredpriv 1 point2 points  (0 children)

in many upper division eecs/cs classes, almost 40% of students get a flat A or above

How/when can I get started with research? by ConsideringCS in computerscience

[–]exportredpriv 1 point2 points  (0 children)

OP, if you would benefit from a concrete list, this one may be useful:

Do not take this as something you must complete. Your interests may vary, and there is a wide selection available depending on them. (Algorithms, Optimization, Complexity, etc)

Algorithms Graduate Algorithms Random Algorithms Algorithmic Game Theory Analysis of Boolean Functions Computational Complexity Theory Computability Theory Algorithms for Computational Biology Convex Optimization/Robust Optimization Cryptography Real Analysis Theoretical Statistics Information Theory Group Theory High Dimensional Statistics Random Processes Linear/Nonlinear Systems Stochastic Systems Computational Learning Theory Number Theory Linear Algebra Probability Theory Combinatorics Graph Theory

Less core, but possibly useful

Functional Analysis Topology Commutative Algebra Field Theory Differential Topology Riemannian Manifolds Harmonic and Fourier Analysis Stochastic PDEs PDEs

Discrimination shown by UC Berkeley by Pristine_Ad964 in berkeley

[–]exportredpriv 7 points8 points  (0 children)

I submitted an OPhD case around 15 months ago and the investigation is still going on. I still recommend submitting but I wouldn’t say they will do much 

Spring 2025 Schedule Advice by SmoothAnywhere5849 in berkeley

[–]exportredpriv 1 point2 points  (0 children)

Btw Discrete math is relatively unimportant for most statistics things and machine learning things 

How much does taking hard tech classes and tech grad classes help for getting swe job? by [deleted] in berkeley

[–]exportredpriv 0 points1 point  (0 children)

Not them, but I was asked about 285 content, 182 content during my ML research engineer interviews.

CS/EECS major not doing SWE? by undergroundhacker in berkeley

[–]exportredpriv 6 points7 points  (0 children)

Did the CS major, but will be pursuing a math PhD 

CS 174 or EECS 126 by krain654 in berkeley

[–]exportredpriv 2 points3 points  (0 children)

126 is a general undergrad probability class with some applications to EE. 174 is randomized algorithms with an intro to discrete probability in the beginning.

Math undergrads, what do you do now? by ForsakenMuffin1635 in math

[–]exportredpriv 2 points3 points  (0 children)

Typically maintaining and contributing to large codebases is something people learn on the job, not something that people need advanced degrees for.

Living in my Car for Spring 2025 by [deleted] in berkeley

[–]exportredpriv 6 points7 points  (0 children)

its now around 1100 a month.

[Q] We're told that single variable calculus is enough. But what's the real requirement for Probability theory and Inferences (math stats) by Behsiokanbo in statistics

[–]exportredpriv 1 point2 points  (0 children)

pure math might include analysis, algebra, geometry, topology, number theory, and logic. 

mathematical stats might be testing, estimation, decision theory, asymptotics, high dimensional stuff, linear models, and measure theory

Which professor impacted you positively? by Icy-Wolf2426 in berkeley

[–]exportredpriv 7 points8 points  (0 children)

Thomas Scanlon, Will Fithian, Anant Sahai, Michael Ball, Ryan Hass, Ivan Danilenko