Ask Slashdot: "Real" Computer Scientists vs. Modern Curriculum?
An anonymous reader writes At work yesterday, I overheard a programmer explaining his perception of the quality of the most recent CS grads. In his opinion, CS students who primarily learn Java are inferior because they don't have to deal with memory management as they would if they used C. As a current CS student who's pursing a degree after 10 years of experience in the IT field, I have two questions for my fellow Slashdoters: "Is this a common concern with new CS grads?" and, if so, "What can I do to supplement my Java-oriented studies?"
Shouldn't they be computer scientists? Software engineering, while related, is not the same thing as computer science. Would you ask a scientist to build a bridge, or an engineer?
Any sufficiently unpopular but cohesive argument is indistinguishable from trolling.
Yes Java monkeys don't understand memory management.
But a CS student shouldn't be a simple Java monkey. C isn't good enough. They should all have at least a semester of Assembler.
There have always been a subset of CS students that didn't get anywhere close to the metal. They suck.
John McAfee 'It was like that time I hired that Bangkok prostitute; to do my taxes, while I fucked my accountant'
Learn some assembly. Not because you will use it every day (or ever) but because it helps remind you that all the code we typically write is just layers of abstraction on top of a machine (which even assembly is, albeit very low level abstractions).
An old boss from years ago (a mentor for me really) watched me troubleshooting a network issue in an application. He said to me "you seem to be having trouble spotting the problem. Have you tried going lower down the stack?". So I tried ping by name, nothing, ping by number, nothing, etc. Finally after reviewing ip configurations, arp and routing tables and probably a few other things I forget I figured out I had a bad cable.
That taught me a lesson that I've applied to many areas of computers, including programming, over the years. If something seems like it should work but does not maybe something underneath it is the problem. If you want to be able to debug code at the library level or interfaces to lower level languages it helps to understand things like memory layout, registers, the call stack, etc.
My $.02.
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I've recently watched my wife (C++ environment) deal with a new-grad (Java-based education.) It's true that pointers are a sticking point -- in the process of being taught Java, they get taught that pointers are bad and dangerous (all hail Java for solving the problem,) and can be made only barely tolerable by using auto_ptr, but really should just be avoided. Yeah, it's a problem, sure.
But the bigger problem we have with new-grads and junior-devs, in general, is the same problem you'd have in any field: they're green. They don't test well, or at all. They don't think designs through. They don't communicate well. They ask too many questions, or maybe worse, they ask too few. They try to fix things that aren't broken. They're bad at estimating task sizes (admittedly, people rarely get much better at that even after decades.) In an attempt to not suck, they reach out for best-practices and apply them zealously and inappropriately. They can't imagine how things will fail, or be abused. They spend too much time fixing small problems, and not enough time fixing big ones. And maybe worst of all, they're under the illusion that what they learned in school ought to prepare them for the workforce, when really it just gets their foot in the door.
We, as their seniors, are the ones that should be spending the time fixing their misconceptions, fleshing our their education, filling their minds with the horrors we've seen, and setting up their work habits. When they fail, it's because we fail to do these things, usually because we brought them in too late in a project, gave them too much responsibility, and are fighting a deadline. So we "just fix it" for them, and they don't learn from the experience, while we gain nothing in terms of productivity from having them.
But if I were to nitpick their education? Databases. Recent grads have little or no understanding of relational databases. Their thinking on organizing data, in general, is fuzzy at best, which impacts more than just database code, it impacts class and API designs, often crippling whole features with incorrect cardinality. It deserves more attention in school. The rest, we can fix in production. =)
The department I go my masters in computer science from divided the discipline into three chunks:
systems
languages
theory
I think this is a good way to divide computer science.
It sounds like your Java / C question involves mostly languages, and a little bit about systems (since Java programmers do not need to have a fundamental understanding of memory works at a system's level.)
I don't think this question really addresses the underlying issue - what is computer science? To me, I tell people that my formal education is closer to applied mathematics than what I do on a day to day basis. I also like to humorously use the derogatory term "code monkey" to people that have learned everything through the "languages" chunk above. A lot of times when I've worked with these people, they haven't even really studied languages (Why did the language designers make the choice that they did? What does the formal language specification say the language should do in this case? How is this language related to earlier languages?)
Again, about 90% of what I do on a daily basis could be considered "code monkey" level. It's when a customer has a REALLY difficult math problem that my formal education comes into play, and for giving people confidence in me.
For your direct question, I'd study the book Computer Architecture, Fifth Edition: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design)
That's what I used, and it helped me understand a ton of memory management. Then again, my undergrad curriculum was based on C....
CS should be different from programming. Back in the day when I did my undergrad, the programming was something you mostly figured out on your own time. When I took Operating Systems 1, we were studying memory management, Belady's anomaly, semaphores, etc, but we were also expected to become proficient in Unix scripting by the end of the semester. The exchange on the first day of class went something like this:
Prof: Homework for this week is to write a tcsh script that will set your environment variables when you log in based on a menu.
Student: What's tcsh?
Prof: It's one of the shells in Unix, you can write scripts using it.
Student: How do I learn to use it?
Prof: The manual command is "man" in Unix.
Student: How do I use the "man" command?
Prof: Use "man man" to find out how to use "man".
(whole class looks bewildered for about 10 seconds - not sure if he's joking or if Unix is really that insane)
Prof writes across the top of the board: THIS IS A UNIVERSITY, NOT A TRADE SCHOOL. RTFM.
If you can't figure out how to learn the mechanics of Java, Python, whatnot on your own time, you really don't have the brain needed to do computer science. The problem is that everyone and their plumber is getting a 4 year degree these days, so it's become the equivalent of a high school diploma in the 80's.
Support microSD: in a post 9/11 world, it is unwise to carry your data on media that you cannot comfortably swallow.
You do know that sort of obsessive language-lawyering is exactly what turns people off to exploring C, right?
Someone well-versed in Java won't be surprised that arrays know their own size. That's not the interesting lesson here, for someone who's never seen the difference between big- and little-endian in a debugger.
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You do know that sort of obsessive language-lawyering is exactly what turns people off to exploring C, right?
If it also turns them off from having to ask why this program
doesn't print two identical lines - or from writing code that breaks because of this - that would be for the best.
None of these or any other internal arcana of c have anything to do with designing algorithms or programming computers.
May the Maths Be with you!