How long will there be computer science departments?
johndcook.com
johndcook.com
It's a bit like trickle-down economics.
But yes, most biological research doesn't require much mathematics.
http://en.wikipedia.org/wiki/Meta-analysis
Invented to look at telepathy, and Rhine was definitely a psychologist (though one the field unfairly tries to forget). That being said, I thought Glass was a psychologist but he was actually a statistician, so I suppose the modern form of meta-analysis was, in fact, invented by a statistician. Do psychometricians count as statisticians? If not, then quite a few more things were invented outside of statistics.
Psychology: not just for innumerate touchy feely hippies (just mostly).
Has an interesting history on the subject
For however long there will be people willing to pay tuition to enroll in one. Really, that's the answer to all questions in that form. No matter how worthy of independence a study might be, it exists or fails to exist primarily on the existence of a body of students willing to pay money to sit in those seats.*
* speaking purely in terms of undergraduate programs here
Writing English stories is just aiming at a different compiler in someone else's head.
>I currently work in a bioinformatics group, and have been in computer applications for science for 20 years. I do not think Bioinformatics will be going back to biology, I see it as going back to computer science and biology. As the tools get better, there will be less and less need for people that understand both – there will still biology computer applications, but it will be commercialized and individual labs will not have their own developers. You can already see the trend starting. Statisticians do not write their own stats programs, they buy SAS or download R, in 10 years biologists will be doing the same.
I tend to agree with this.
More than computer science departments going away, I see other departments following the lead of Schools of Business Administration. Essentially every SBA now offers a degree that is essentially a 'Management Information Systems' degree, which instructs on how to take the specialized applications that exist out there and leverage them in your firm to accomplish any number of organizational goals.
I could see a trend where more and more departments develop their analog to this, suited to their specific discipline.
Also, there are areas in computer science that wouldn't be 100% applicable to, say, bioinformatics (e.g. cryptography) but may be very applicable in a much more generalized sense. I don't think we've delved into computer science for long enough that its study can be relegated and subjugated within other fields. That it is taught alongside courses in other fields speaks more to its practicality than its diminishing relevance as a standalone field.
Now, if we’re talking about teaching people to program simple software tools, as a useful practical skill like modelling something using calculus or writing a clear report, that’s a different question. There is room in the world both for specialists who are experts in a field and study the hard problems and for practitioners who aren’t experts but know enough to get useful things done. A full computer science course in a dedicated department is not a good fit for the latter group, who really need solid basic programming skills and perhaps a little software engineering knowledge.
Alternatively, one can decide that the skill's parent discipline is worth specializing in. If I'm a Biology major, and I discover that I am getting a kick out of the Statistics skills I employ in my major, even more so than I enjoy my major, I can decide to major in Statistics instead. This does not obviate the need for the two fields as separate fields of study. Nor does it present any real indication that one field is going to be collapsed into the other. The sets of Biology and Statistics have many intersections, but they are not the same set.
And that's the key: the fields are intersecting, and occasionally even overlapping, but they're not entirely so.
At the risk of sounding even nerdier, maybe this concept comes more naturally to those of us who've played an RPG or two in our day. Think Skyrim, if you've played it. You can build a melee fighter who draws a few skills from the magic skill tree. Or you can be a pure mage. Or a pure fighter. Or what have you. At the same time, there are only so many skill points you're allotted -- so you can't pick all of each tree. It works the same way in life, really. It's probably better to be a master of one trade with a few skills from the others, than to be a jack of all trades and master of none.
This has been my daily admission of dorkitude. Thanks for listening.
I could be wrong, obviously, and I am not steeped heavily enough in the politics and ways of the world of academia to know for sure how these things go. But the fundamental discipline seems pretty distinct from others, even others like it.
In undergrad, for instance, I had the great fortune to take a CS class from Dr. David Gelernter. We didn't touch a single line of code in that entire semester, but I learned more about the fundamentals of computers than I have in any other class. Conversely, I had friends in the class who were bored to tears, or frustrated to kingdom come, by the subject matter -- who found the whole class impractical and not immediately useful. The phrase "intellectual masturbation" was tossed around pretty frequently. But honestly, different strokes for different folks. And that fact will keep CS alive and distinct.
That claim is simple to rebut with the example of mathematics, which are taught in various forms for nearly every department and yet there are still mathematics departments.
It would have been insightful to observe that basic computer science knowledge is becoming an essential part of any curriculum. That elevates it to the level of 'broadly applicable skill' like math, and composition. I believe its important as early as secondary school but those courses are still foundering for direction (I've seen 'intro to powerpoint' as a computer class which is more like 'typing' was than basic computer skills)
You should see some of the outlandish courses and degrees offered by some schools.
- What is a binomial distribution?
- What is the difference between a probability and a p-value?
- If I have p-values for a case and control group, can I just subtract the log10 p-value for my control from my case group?
From fellow "bioinformaticians", research scientist level and above, I've been asked:
- How can I load this MySQL dump you sent me into my database? phpMyAdmin doesn't read MySQL dumps.
- What is a likelihood ratio (from a PI!!)
So, needless to say, I feel that I have some good job security.
Um...isn't that a form of the Halting Problem? ;D