> The college, Ms. Nobles said, offers the possibility of a renewal for humanities studies at M.I.T., where students flock to computer science and engineering. Do MIT students major in humanities subjects, or is the department's purpose to make engineering students well-rounded through taking electives in their department?
Both. Undergrads have certain humanities requirements to fulfill - obviously some are natural fans, others treat it like an "eat your broccoli" requirement. Independent of requirements, MIT also has a fairly good reputation for philosophy, political science, linguistics, media studies, and a few other areas.
M.I.T. Plans College for Artificial Intelligence, Backed by $1B
11–20 of 181 posts
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#12College of Statistics and Nonlinear Function Approximation
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#13College of Statistics and Nonlinear Function Approximation
People want to be become machine learning engineers because it's the sexy thing right now, but they don't want to learn the necessary statistics/linear algebra/optimization necessary for the roles. In my experience, these "AI" and "datascience" programs are largely just cash-grabs at most universities. I don't doubt that M.I.T.'s will be rigorous, but I'm largely skeptical of how useful these programs actually are.
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#14> The college, Ms. Nobles said, offers the possibility of a renewal for humanities studies at M.I.T., where students flock to computer science and engineering. Do MIT students major in humanities subjects, or is the department's purpose to make engineering students well-rounded through taking electives in their department?
https://news.mit.edu/2017/mit-creates-new-major-computer-sci...
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#15College of Statistics and Nonlinear Function Approximation
- Math, as you say
- Software engineering, especially data engineering
- Design - since the the math and engineering enable new kinds of problems to be solved by computers, there's a lot of unexplored design territory
- The domains of all the input and output modalities it touches, like linguistics, computer vision, etc.
- Increasingly, ethics
Sure, each of these topics are already covered by existing university departments, but the boundaries between departments are arbitrary and often limiting anyway. Why not establish a new locus that brings much of the above under one physical and administrative roof?
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#16Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#17Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#18College of Statistics and Nonlinear Function Approximation
Unfortunately, I think statistics will continue to be under-appreciated. All of my mathematics professors in undergraduate said that statistics and linear algebra are the two most useful fields of math to know and that dedicating time to studying them will pay dividends. It still surprises me when I apply for jobs today how few places, even financial or scientific firms, distinguish between statistics and mathematics…
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#19College of Statistics and Nonlinear Function Approximation
That's much of the math behind AI, but there's much more to building real things with it. It's a cross-disciplinary field touching: - Math, as you say - Software engineering, especially data engineering - Design - since the the math and engineering enable new kinds of problems to be solved by computers, there's a lot of unexplored design territory - The domains of all the input and output modalities it touches, like…
I wonder how this is going to play with the new MIT Schwarzman College of Computing, and what each entity will choose to focus on.
Re: M.I.T. Plans College for Artificial Intelligence, Backed by $1B
#20College of Statistics and Nonlinear Function Approximation
Unfortunately, I think statistics will continue to be under-appreciated. All of my mathematics professors in undergraduate said that statistics and linear algebra are the two most useful fields of math to know and that dedicating time to studying them will pay dividends. It still surprises me when I apply for jobs today how few places, even financial or scientific firms, distinguish between statistics and mathematics…