[Pl-seminar] Albert Meyer at BU, Mon 12/1/03

Mitchell Wand wand at ccs.neu.edu
Mon Dec 1 17:55:57 EST 2003


Sender: kfoury at cs.bu.edu
To: wand at ccs.neu.edu
Subject: announcement of a lecture by Albert Meyer
Date: Mon, 01 Dec 2003 11:38:47 -0500

Hi Mitch,

Would you send the attached announcement to your
PL mailing list?  Albert is one of several distinguished
senior computer scientists speaking on the occasion of
the 20th anniversary of the CS Dept at BU.

Thanks,
Assaf

================================================================

Title: Computability Theory Of and With the Scheme Programming Language

Speaker: Albert Meyer, MIT

Date: Monday, December 8

Time: 3PM

Place: SAR 101 (Building 28 at http://www.bu.edu/maps/)

Abstract:

There remains a gulf between computation models like Turing machines that
appear in theory of computation texts, and introductory programming
languages. The simple and powerful Scheme programming language, used in
hundreds of introductory programming courses, is a plausible candidate for
bridging this divide.

At MIT, we teach informally how Scheme works, initially using a
"Substitution Model" for functional procedures, followed by an "Environment
Model" to explain assignment commands. Key language properties such as
"Scheme procedures are black boxes" and "Scheme has no parallelism" are
illustrated by example.

It is possible to formulate a "Substitution" model for a significant part
of the Scheme programming language, including assignment statements (the
SET! special form), and control abstractions (ERROR,
CALL-WITH-CURRENT-CONTINUATION). The behavior of each Scheme special form
is defined by two or three rules for rewriting Scheme expressions to Scheme
expressions. This provides a Scheme model that is rigorous, intuitive, and
accurate.

The model offers a solid theoretical basis for an introductory programming
course, and allows ideas like "black-box" procedures to be mathematically
defined, and verified, quite simply. It also legitimizes the use of Scheme
in a computability course, providing a far more convenient model than
Turing machines. Yet it remains debatable whether the model should be in
the curriculum of an introductory programming course, and whether "real"
Scheme should be used in teaching computability theory.
   
Short Biography:

Albert R. Meyer is the Hitachi America Professor of Engineering in the MIT
Department of Electrical Engineering and Computer Science.

Prof. Meyer got his BA, SM, and PhD degrees from Harvard University. His
first faculty appointment was at Carnegie Mellon University in 1967. He has
been a member of the MIT faculty since 1969, with visiting appointments at
U. Warwick, UC Berkeley, Harvard, ETH Zurich, U. Chicago, and IBM Watson
Research Center. He has served as Associate Director of the MIT Lab. for
Computer Science and Chairman of the MIT Computer Science Graduate Program.

His research contributions span many areas of theoretical Computer
Science. In computational complexity theory, he formulated the Polynomial
Time Hierarchy and presented the first examples of exponentially complex
problems. In automata theory, he laid the foundations for the modern proof
of the Algebraic Decomposition Theorem for finite automata. In programming
language theory, he made seminal contributions to the development of
Dynamic Logic, Second-order Type Theory, and Concurrent Process Theory.

Prof. Meyer is a Fellow of the American Academy of Arts and Sciences and a
Fellow of the ACM. He has been Editor-in-chief of Information and
Computation, a leading journal of theoretical Computer Science, since
1982. He has supervised two dozen Ph.D.students now on faculties at over a
dozen leading universities and industrial research labs.

Homepage: http://theory.lcs.mit.edu/~meyer/






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