MORE ON “THEORY VS. PRACTICAL”
with Fabian Pascal

 

 

 

From: DF

To: Editor

Date: Tue, 26 Oct 2004

 

One of the questions that I have in the debate of “Theory vs. Practical” is why is it cast as an either-or proposition?  It would seem that a well rounded university education would entail both.  The best way to ensure that one understands the theory is to implement it – and of course, before you can implement something you need to understand what you are implementing.  A university that focuses solely on one is giving less than half an education.

 

One of the most useful courses was Compiler Theory – where you learned the theory and tested it by writing a compiler.  Even though I have not been required to write a compiler as part of my software development career the knowledge gained about the fundamental under-pinning has been invaluable.  I regret that as part of Database Theory we didn’t write a database engine.

 

Of course I’m assuming that the purpose of a university is to prepare one for a career of 30 to 50 years versus a vocational school preparing someone for a job for 1 to 5 years.  I’ve told many people going for a Computer Science degree that there are only two things they really need to learn:  (1) how to learn, and (2) a fundamental understanding of how software works (theory).  Everything else will become obsolete overtime.

 

 

From: Fabian Pascal

To: DF

 

It's a matter of precedence: you must have a theory in order to implement. The university should teach you how to apply the theory, but should not turn into a vocational school. Which is what academia has been gradually doing, as More on the Myth of Market-based Education, and the weekly quote of 10/29 clearly demonstrate.

 

 

Ed. Comment: The point is that such a "debate" is nonsense. The theory exists for practical purposes. Trial and error, which is what we are forced into when there is no theory—which is not the case in database management!—is certainly not more practical (see, for example, Upside Down and Backwards). Witness the mistakes the industry keeps repeating, e.g. hierarchic databases (XML).

 

 

Posted 1/14/05