List of interesting references about Grad School
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Should I Get a Ph.D.? Tim Hopper
- A series of interviews with Professors and PhD students/graduates.
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I Loved Graduate School Peter Bailis Stanford Computer Science
- "It’s increasingly in vogue to complain about graduate school and the state of higher education. Now that I’ve officially graduated, I want to come out and say, simply: I loved graduate school. Pursuing a Ph.D. was one of the best decisions I’ve ever made. Here’s why:"
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Notes On The PhD Degree Douglas E. Comer Purdue University
- "These notes provide basic information about the purpose of a Ph.D. program in an attempt to help students decide whether to pursue a Ph.D. degree."
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Everything I wanted to know about C.S. graduate school at the beginning but didn't learn until later. Ronald T. Azuma
- "A computer science graduate school survival guide, intended for prospective or novice graduate students. This guide describes what I wish I had known at the start of graduate school but had to learn the hard way instead. It focuses on mental toughness and the skills a graduate student needs. The guide also discusses finding a job after completing the Ph.D. and points to many other related web pages.""
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Applying to Ph.D. Programs in Computer Science Mor Harchol-Balter Carnegie Mellon University
- "This document is intended for people applying to Ph.D. programs in computer science or related areas. The document is informal in nature and is meant to express only the opinions of the author. The author is a professor of computer science at CMU, and has been involved in the Ph.D. admissions process at CMU, U.C. Berkeley, and MIT."
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CS Grad School Series Jean Yang, PhD Candidate MIT
- "As a result of talking to various people (/undergraduate seniors) who are figuring out what to do with their lives, I have made the arbitrary, unilateral decision that I will write a series of blog posts at you about how, why, where, etc. etc. etc. I applied to grad school."
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So, you want to go to grad school? Matt Welsh, Software Engineer at Google (previously a professor at Harvard Google/Harvard
- "Every year I am approached by students asking about grad school in Computer Science. I generally sit down with them for an hour or so and go over all of the details of why you should go, what the tradeoffs are, where you should apply, what it takes to get in, and so forth. I figured it would be a good idea to write some of this advice up in a blog post so I can capture it in a more permanent form. In this post, I will talk about why to do a PhD in Computer Science, and why not to do a PhD."
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Why choose a Ph.D. in CS? CRA (Computing Research Association)
- "A set of slides on Why choose a Ph.D. in CS"
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The illustrated guide to a Ph.D. Matt Might, Associate Professor University of Utah
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5+5 Commandments of a Ph.D. Matt Might, Associate Professor University of Utah
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10 easy ways to fail a Ph.D. Matt Might, Associate Professor University of Utah
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HOWTO: Get into grad school for science, engineering, math and computer science Matt Might, Associate Professor University of Utah
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GRADUATE STUDY IN THE COMPUTER AND MATHEMATICAL SCIENCES: A SURVIVAL MANUAL Dianne Prost O'Leary, Distinguished University Professor Emerita University of Maryland College Park
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The N=1 guide to grad school (and hopefully, knowledge work) Adam Marcus, PhD MIT
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The Ph.D Experience Mihir Bellare , Professor UC San Diego
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How to do Research At the MIT AI Lab A whole lot of people at MIT. Edited by David Chapman MIT
- "This document presumptuously purports to explain how to do research. We give heuristics that may be useful in picking up the specific skills needed for research (reading, writing, programming) and for understanding and enjoying the process itself (methodology, topic and advisor selection, and emotional factors)."
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A Letter to Research Students Duane A. Bailey , Professor Williams College
- You and Your Research Richard Hamming Bell Communications Research
- Transcription of the Bell Communications Research Colloquium Seminar. "This talk centered on Hamming's observations and research on the question 'Why do so few scientists make significant contributions and so many are forgotten in the long run?'"