Hi all, just happened to find out this website before going to work. I am actually planning a career switch from computer vision research to fe. Have done some studies online on the admission requirements, it seems that I have some missing parts from the requirements of those big unis including Columbia (my first preference
). Profile and questions attached below:
Nanyang Technological University, Singapore (anyone knows about this school? Ranked high but mm...):
Master of Computer Engineering (Research in Computer Vision) (A- A- B-, no maths course, but used maths in research)
Bachelor of Mechanical Engineering (Mechatronics) (Top 15%) (Overall GPA around 3.4, last two years 3.7)
4 Maths Course (A A A- B): Basically all engineering stuffs, calculus, linear algebra, multivariate calculus, fourier, laplace, ode, pde, taylor's, ...
Programming: C, Matlab and Assembly (perhaps can consider as close to advanced), but no Object Oriented Exp hence no C++ no Java, I guess its not too hard to learn.
One top rank conference paper in computer vision field (third author, project level submission), 78 out of around 2000 submissions around the world.
OK, the question comes now. Many Unis actually ask for calculus based probability which I have not heard before, I should have pretty good knowledge about basic prob/stats but not calculus based one. I might know some of them but I have not done a prob/stats course alone, always combined with others. Perhaps Mechanical doesn't need that much
I have also got some background in design of experiment+anova+ffe, in my quality assurance course. Anyway, I would have been in academic research for almost 2 years by the time I apply. I don't know if my informal (no course) maths experience is valued for admission. Over here research is always like go and learn when you need it. GRE in 2008 verbal pretty low, but quantz 800, I will redo in few months time, quantz should be similar, should be able to boost verbal.
I am thinking of Columbia/Toronto/NYU. Berkeley/Stanford too top for me?
Can any senior comment on my profile? It seems like the requirements are quite rigid, like C++ over C...
Thanks in advance

Nanyang Technological University, Singapore (anyone knows about this school? Ranked high but mm...):
Master of Computer Engineering (Research in Computer Vision) (A- A- B-, no maths course, but used maths in research)
Bachelor of Mechanical Engineering (Mechatronics) (Top 15%) (Overall GPA around 3.4, last two years 3.7)
4 Maths Course (A A A- B): Basically all engineering stuffs, calculus, linear algebra, multivariate calculus, fourier, laplace, ode, pde, taylor's, ...
Programming: C, Matlab and Assembly (perhaps can consider as close to advanced), but no Object Oriented Exp hence no C++ no Java, I guess its not too hard to learn.
One top rank conference paper in computer vision field (third author, project level submission), 78 out of around 2000 submissions around the world.
OK, the question comes now. Many Unis actually ask for calculus based probability which I have not heard before, I should have pretty good knowledge about basic prob/stats but not calculus based one. I might know some of them but I have not done a prob/stats course alone, always combined with others. Perhaps Mechanical doesn't need that much

I am thinking of Columbia/Toronto/NYU. Berkeley/Stanford too top for me?
Can any senior comment on my profile? It seems like the requirements are quite rigid, like C++ over C...
Thanks in advance
