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Yes, but he might stick around and take and pass the Ph.D. qualifying exams and then be well on his way to a Princeton degree: At least at one time, the Princeton math department Web site stated that, IIRC, "students are expected to prepare for the qualifying exams on their own and that no courses are offered to prepare students for the qualifying exams. Courses are introductions to research by experts in their fields." So, look at the qualifying exams, see what might study, and while attending classes attend the ones that can help with the exams. In addition, might have available some profs to answer questions. In addition, likely one way to impress Princeton or any university is to publish, and one way to start to do that is to attend research seminars and see what some of the open questions are, also notice what some of the profs and grad students are working on. So, this way get some guidance on what might attack as a research problem. I got a good pure/applied math Ph.D. Well over 50% of what I needed and used for courses, the qualifying exams, and my research was what I'd studied independently after my 4 year college degree and start of grad school. Then a grad course in optimization gave a good introduction to the Kuhn-Tucker condition, maybe say Karush-Kuhn-Tucker. After the course I saw a tricky question about the constraint qualifications, didn't see an answer in the library, so signed up for a 'reading course' to 'investigate' the question. Two weeks later I had a nice, clean solution, wrote it up, and was done with the course -- two weeks. Later I published. There I'd noticed that my work also answered a question stated but not solved in the famous Arrow, Hurwicz, Uzawa paper applying the KKTC to economics. I published in JOTA. So, a 'walk in' student at Princeton might have been able to have done much the same. With such research and passing the qualifying exams they would be on the way to a Princeton Ph.D. |
UT Austin, at the time I was there, used the other (and better, I think) method: breadth and depth graduate classes, typically more advanced versions of advanced undergrad classes. The breadth classes covered most of CS, while the depth classes were more introductions to specific areas of research.
Edit: Oral quals are just hazing, in my opinion.