What Is Computer Science?

1. Newell, Allen; Perlis, Alan J.; & Simon, Herbert A. (1967), "Computer Science", Science 157(3795) (22 September): 1373-1374.

2. Knuth, Donald (1974), "Computer Science and Its Relation to Mathematics", American Mathematical Monthly 81(4) (April): 323-343.

3. Newell, Allen, & Simon, Herbert A. (1976), "Computer Science as Empirical Inquiry: Symbols and Search", Communications of the ACM 19(3) (March): 113-126.

4. Arden, Bruce W. (1980), "COSERS Overview" [PDF], in Bruce W. Arden (ed.), What Can Be Automated? The Computer Science and Engineering Research Study (COSERS) (Cambridge, MA: MIT Press), Ch. 1, pp. 1-31.
   • See esp. the sections titled "About Names and Labels" and "Some Definitions", pp. 5-10.

   • See also the (untitled) preface on the (unnumbered) pages immediately preceding p. 1.

   • Contains the following "sample questions" that are "more specific" than "What can be automated?":
     1. Are there useful, radically different computer organizations yet to be developed?

     2. What aspects of programming languages make them well suited for the clear representation of algorithms in specific subject areas?

     3. What principles govern the efficient organization of large amounts of data?

     4. To what extent can computers exhibit intelligent behavior?

     5. What are the fundamental limits on the complexity of computational processes?

     6. What are the limits on the simulation of physical systems?

     7. How can processes be distributed in a communicating network to the advantage of microtechnology?

     8. To what extent can numerical computation be replaced by the computer manipulation of symbolic expressions?

     9. Is it possible to replace a major part of system observation and testing with automated proofs of the correctness of the constituent algorithms?

   • Also contains the following list of "subject areas" of CS:
     1. Numerical computation
     2. Theory of computation
     3. Hardware systems
     4. Artificial intelligence
     5. Programming languages
     6. Operating systems
     7. Database systems
     8. Software methodology

     From this, he concludes that "What can be automated?" means: "What are the limits, imposed by complexity, on the application of computers?"

5. Boorstin, Daniel J. (1983), The Discoverers (New York: Random House), Ch. 49: "The Microscope of Nature":
   • "The hero of this story, Marcello Malpighi (1628-1694), was a great scientist whose work had no dogmatic unity. He was one of the first of a new breed of explorers who defined their mission neither by the doctrine of their master nor by the subject that they studied. They were no longer "Aristotelians" or "Galenists." Their eponym, their mechanical godparent, was some device that extended their senses and widened their vistas. What gave his researches coherence was a new instrument. Malpighi was to be a "microscopist," and his science was "microscopy," a word first noted in English in Pepys' Diary in 1664. His scientific career was held together not by what he was trying to confirm or to prove, but by the vehicle which carried him on his voyages of observation." (p. 376.)

   Of possibly related interest:

   1. McBride, Neil (2007), "The Death of Computing".

   2. Mander, Keith (2007), "Demise of Computer Science Exaggerated"
      • A reply to McBride 2007.

6. Krantz, Steven G. (1984), Letter to the Editor about the relation of computer science to mathematics, American Mathematical Monthly 91(9) (November): 598-600.

7. Denning, Peter J. (1985), "What Is Computer Science?" [PDF], American Scientist 73 (January-February): 16-19.

8. Abrahams, Paul (1987), "What Is Computer Science?", Communications of the ACM 30(6) (June): 472-473.

9. Loui, Michael C. (1987), "Computer Science Is an Engineering Discipline" [PDF] Engineering Education.

10. Denning, Peter J.; Comer, Douglas E.; Gries, David; Mulder, Michael C.; Tucker, Allen; Turner, A. Joe; & Young, Paul R. (1989), "Computing as a Discipline", Communications of the ACM 32(1) (January): 9-23.
    • "A Taxonomy of Subfields in CS&E:
      • Algorithms and data structures
      • Programming languages
      • Computer architecture
      • Numeric and symbolic computation
      • Operating systems
      • Software engineering
      • Databases and information retrieval
      • Artificial intelligence and robotics
      • Human-computer interaction"

11. Bajcsy, Ruzena K.; Borodin, Allan B.; Liskov, Barbara H.; & Ullman, Jeffrey D. (1992), "Computer Science Statewide Review" (unpublished report).

12. Hartmanis, Juris, & Lin, Herbert (eds.?) (1992), "What Is Computer Science and Engineering?" [PDF], in Juris Hartmanis & Herbert Lin (eds.), Computing the Future: A Broader Agenda for Computer Science and Engineering (Washington, DC: National Academy Press), Ch. 6, pp. 163-216.

13. Abelson, Harold, & Sussman, Gerald Jay, with Sussman, Julie (1996), Structure and Interpretation of Computer Programs, "Preface to the First Edition":
    • "Underlying our approach to this subject is our conviction that "computer science" is not a science and that its significance has little to do with computers. The computer revolution is a revolution in the way we think and in the way we express what we think. The essence of this change is the emergence of what might best be called procedural epistemology -- the study of the structure of knowledge from an imperative point of view, as opposed to the more declarative point of view taken by classical mathematical subjects. Mathematics provides a framework for dealing precisely with notions of "what is." Computation provides a framework for dealing precisely with notions of "how to." "

14. Brooks, Frederick P., Jr. (1996), "The Computer Scientist as Toolsmith II", Communications of the ACM 39(3) (March): 61-68.

15. Gal-Ezer, Judith, & Harel, David (1998), "What (Else) Should CS Educators Know?", Communications of the ACM 41(9) (September): 77-84.
    • Contains a section titled "What is CS?".
    • Contains a "Bibliography for `What is CS?'"
    • Also contains the following quotes:
      1. "Computer science has such intimate relations with so many other subjects that it is hard to see it as a thing in itself." -- Marvin Minsky

      2. "Computer science differs from the known sciences so deeply that it has to be viewed as a new species among the sciences." -- Juris Hartmanis

16. Parnas, David Lorge (1998), "Software Engineering Programmes are not Computer Science Programmes", Annals of Software Engineering.

17. Denning, Peter J. (1999), "Computer Science: The Discipline", in Anthony Ralston & David Hemmindinger (eds.) (2000), Encyclopedia of Computer Science.

18. Jacob, Christian (1999), "What Is Computer Science?" [PDF]

19. Shagrir, Oron (1999), "What Is Computer Science About?" [PDF], The Monist 82(1): 131-149.

20. Computer Science and Telecommunications Board (2001), "Fundamentals of Computer Science: Symposium" (conference program)

21. Johnson, George (2001), "All Science Is Computer Science", The New York Times (25 March): WK1, WK5.
    • On-line with original photos at www.ezboard.com

22. Shapiro, Stuart C. (2001), "Computer Science: The Study of Procedures" [PDF]
    • Note: There is also an earlier, slightly different version, apparently no longer on line:
      Shapiro, Stuart C. (1997), "What Is Computer Science?".

    • Also see his website "Computer Science"

23. Foley, Jim (2002), "Computing > Computer Science".
    • Revised version of paper that appeared in Computing Research News 14(4) (September) (2002): 6.

24. Boston University Department of Computer Science (2003), "What Is Computer Science?" [PDF]

25. IEEE/ACM Computing Curricula Series, including:
    1. Computer Science Volume (CC2001) [240-page PDF]
    2. Computing Curricula 2005: The Overview Report [62-page PDF]

26. Denning, Peter J. (2005), "Is Computer Science Science?", Communications of the ACM 48(4) (April): 27-31.

27. Parlante, Nick (2005), "What Is Computer Science?", Inroads—The SIGCSE Bulletin 37(2) (June): 24-25.

28. Anthes, Gary (2006), "Computer Science Looks for a Remake", Computerworld (1 May).
    Two quotes from Bernard Chazelle, Prof. of CS, Princeton:
    • "CS is the new "new math," and people are beginning to realize that CS, like math, is unique in the sense that many other disciplineswill have to adopt that way of thinking. It offers a sort of conceptual framework for other disciplines, and that's fairly new."

    • "We're at the tail end of Moore's Law....But this will be the best thing that can happen to CS. Moore's Law has been tremendously beneficial to society. At the same time, it's been so damn powerful that it has set back the development of algorithms. But that's about to change. Any student interested in science and technology needs to learn to think algorithmically. That's the next big thing."

    • See also:
      Chazelle, Bernard (2006), "The Algorithm: Idiom of Modern Science"

29. Wing, Jeannette M. (2006), "Computational Thinking", Communications of the ACM 49(3) (March): 33-35. [PDF]

30. Easton, Thomas A. (2006), "Beyond the Algorithmization of the Sciences", Communications of the ACM 49(5) (May): 31-33.

31. Naur, Peter (2007), "Computing Versus Human Thinking", Communications of the ACM 50(1) (January): 85-94.

32. Tedre, Matti (2007), "The Philosophy of Computer Science (Winter-Spring 2007)"
    • Tedre, Matti (2007), "Introduction to the Course", Lecture Notes in the Philosophy of Computer Science.

33. Department of Computing Sciences, Elon University, Elon, NC (retrieved 2/12/2007), "What Is Computer Science?"
    • This is from the departmental website of a small college's "computing sciences" (note the name!) department. It discusses pretty much all the issues we've been looking at: Is it a science? What does it study? Is it an engineering discipline?

34. Summary