Helmut wasn’t just an outstanding researcher, he was also passionate about improving education in logic and computer science.
From Richard Zach’s obituary.
Abstract
In this paper we argue that the traditional syllabus of logic courses for computer science is outdated and missing its purposes, therefore contributing to the gradual relegation of logic from the computing curricula. We further provide some practical recommendations and directions that need to be considered in the adaptation of the logic course syllabi to the needs of modern computing practitioners.
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Notes
For more about the Vienna Circle one may consult the Wikipedia entry on the Vienna Circle [38].
Translated to English by Richard Zach.
We thank Georg Weissenbacher and Thomas Eiter for providing this information on Helmut’s activities.
See also the Wikipedia entry for Liberal arts education [37].
The CS departments of ETHZ Zurich and University of Haifa are such examples.
The first author presented twice in Vienna ideas that have led to this paper. Helmut Veith attended the first talk, was supportive of the ideas and provided some useful feedback that has led to revisions and additions in this version.
The programming languages community has been having related discussions about helping students connect theoretical foundations to the practice of computing and system design [3].
This includes Yuri Gurevich, who expressed this view in his personal communication with the first author.
References
Adamowicz Z, Zbierski P (2011) Logic of mathematics: a modern course of classical logic. Wiley, New York
Arora S, Barak B (2009) Computational complexity: a modern approach. Cambridge University Press, Cambridge
Ball T, Zorn B (2015) Teach foundational language principles. Commun ACM 58(5):30–31
Barland I, Felleisen M, Fisler K, Kolaitis P, Vardi MY (2000) Integrating logic into the computer science curriculum. In: Innovation and technology in computer science education
Barwise J, Feferman S (eds) (1985) Model-theoretic logics. In: Perspectives in mathematical logic. Springer, Berlin
Ben-Ari M (2012) Mathematical logic for computer science. Springer, Berlin
Bradley A, Manna Z (2007) The calculus of computation: decision procedures with applications to verification. Springer, Berlin
Burgess J (2005) Fixing frege. Princeton University Press, Princeton
Buss S (1998) Handbook of proof theory, vol 137. Elsevier, Amsterdam
Chamarthi H, Dillinger P, Manolios P, Vroon D (2011) The acl2 sedan theorem proving system. In: International conference on tools and algorithms for the construction and analysis of systems. Springer, pp 291–295
Clarke EM, Grumberg O, Peled D (1999) Model checking. MIT Press, Cambridge
Enderton H, Enderton HB (2001) A mathematical introduction to logic. Academic press, London
Gallier JH (2015) Logic for computer science: foundations of automatic theorem proving. Courier Dover Publications, New York
Garey MG, Johnson DS (1979) Computers and intractability. Mathematical series. W.H. Freeman and Company, San Francisco
Goldreich O (2008) Computational complexity: a conceptual approach. Cambridge University Press, Cambridge
Harrison J (2009) Handbook of practical logic and automated reasoning. Cambridge University Press, Cambridge
Hilbert D, Ackermann W (1928) Grundzüge der theoretischen logik, vol 1037. Springer, Berlin, p 23
Hodges W (1993) Model theory, vol 42. Encyclopedia of mathematics and its applications. Cambridge University Press, Cambridge
Huth M, Ryan M (2004) Logic in computer science: modelling and reasoning about systems. Cambridge University Press, Cambridge
Jackson D (2002) Alloy: a lightweight object modelling notation. ACM Trans Softw Eng Methodol (TOSEM) 11(2):256–290
Jech T (1978) Set theory. Academic Press, London
Jech T (2003) Set theory. The third millenium edition, revised and expanded. Springer monographs in mathematics. Springer, Berlin
Knuth DE (1969) The art of computer programming, vol 1. Addison Wesley, Boston
Lethbridge TC (2000) What knowledge is important to a software professional? Computer 33(5):44–50
Libkin L (2004) Elements of finite model theory. Springer, Berlin
Makowsky JA (2008) From Hilbert’s program to a logic toolbox. Ann Math Artif Intell 53(1–4):225–250
Makowsky JA (2015) Teaching logic for computer science: are we teaching the wrong narrative? In: TTL 2015 proceedings of fourth international conference on tools for teaching logic
Mendelson E (1987) Introduction to mathematical logic. Wadsworth Publ. Co., Belmont, CA
Page RL (2003) Software is discrete mathematics. In: ACM SIGPLAN notices, ACM, vol 38.9, pp 79–86
Papadimitriou C (1994) Computational complexity. Addison Wesley, Boston
Shoenfield J (1967) Mathematical logic, vol 21. Addison-Wesley, Boston
Soare RI (2016) Turing computability: theory and applications. Springer, Berlin
Spichkova M (2016) Boring formal methods or Sherlock Holmes deduction methods? In: Federation of international conferences on software technologies: applications and foundations. Springer, pp 242–252
Tavolato P, Vogt F (2012) Integrating formal methods into computer science curricula at a university of applied sciences. In: TLA+ workshop at the 18th international symposium on formal methods, Paris, Frankreich
ten Cate B, van Benthem J, Vaananen J (2007) Lindstrom theorems for fragments of first-order logic. In: 22nd annual IEEE symposium on logic in computer science, 2007, LICS 2007. IEEE, pp 280–292
van Benthem J, ten Cate B, Väänanen J (2009) Lindstrom theorems for fragments of first-order logic. Log Methods Comput Sci 5:280–292
Wikipedia, Liberal arts education. https://en.wikipedia.org/wiki/Liberal_arts_education#Seven_liberal_arts
Wikipedia, Vienna circle. https://en.wikipedia.org/wiki/Vienna_Circle
Wing JM (2000) Invited talk: weaving formal methods into the undergraduate computer science curriculum. Algebraic methodology and software technology. Springer, Berlin, pp 2–7
Zamansky A, Farchi E (2015) Helping the tester get it right: towards supporting agile combinatorial test design. In: 2nd human-oriented formal methods workshop (HOFM 2015)
Zamansky A, Farchi E (2015) Teaching logic to information systems students: challenges and opportunities. In: TTL 2015 proceedings of fourth international conference on tools for teaching logic
Zamansky A, Rogachevsky K, Levy M, Kogan M (2016) How many likes can we get for logic? Exploring the potential of Facebook for enhancing core software engineering courses. In: Proceedings of the European conference on software engineering education
Zamansky A, Zohar Y (2016) Mathematical does not mean boring: integrating software assignments to enhance learning of logico-mathematical concepts. In: International conference on advanced information systems engineering. Springer, pp 103–108
Zamansky Z (2017) Teaching logic to information systems students: a student-centric approach. IFCOLOG J Log Appl (forthcoming)
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The second author was supported by the Israel Science Foundation under Grant agreement 817/15.
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Makowsky, J.A., Zamansky, A. Keeping logic in the trivium of computer science: a teaching perspective. Form Methods Syst Des 51, 419–430 (2017). https://doi.org/10.1007/s10703-017-0301-z
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DOI: https://doi.org/10.1007/s10703-017-0301-z