A Dialogue on Intelligent Design and the Existence of God
Alex Byrne, Roger White
Wed Jan 28, 02-04:00pm, 32-155
No enrollment limit, no advance sign up
Professors Alex Byrne and Roger White discuss whether the "evidence of intelligent design" really does support belief in the existence of God.
Contact: Bradford Skow, 32-D938, 253-4147, bskow@mit.edu
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Lecture: The Philosophy of Economic Disaster
Adam Elga Princeton University
Fri Jan 9, 04-05:00pm, 32-D461
No enrollment limit, no advance sign up
Single session event
Under what conditions does the quest for stability in a system lead to an increased chance of disaster? Under what conditions does that quest lead to a less predictable chance of disaster? Which social and technological system meet those conditions? We will build on work by Taleb, Mandlebrot, and Skyrms to spell out and address these questions.
Contact: Bradford Skow, 32-D938, 253-4147, bskow@mit.edu
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MITing of the Minds 2009 5th Annual MIT Philosophy Alumni Conference
Bradford Skow
Thu Jan 29, 10am-05:45pm Fri Jan 30, 10am-04:15pm
No enrollment limit, no advance sign up
Participants welcome at individual sessions (series)
Prereq: none
This year's MITing of the Minds is the Fifth Annual MIT Philosophy Alumni Conference. The conference will showcase recent work in a variety of areas in contemporary philosophy. Presentations will cover topics in metaphysics, philosophy of language, epistemology, and ethics, and will be accessible to a broad audience. Each day will feature talks by MIT faculty members, current students, and alumni of the graduate program.
Web: http://web.mit.edu/philos/www/mm/
Contact: Bradford Skow, 32-D938, 253-4147, bskow@mit.edu
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MathMod SPQR - Statistics, Probability Theory, Quantitative Methods and R
Peter Graff
Tue Jan 13 thru Fri Jan 16, 02-05:00pm, 32-D461
Enrollment limited: advance sign up required (see contact below)
Limited to 10 participants.
Participants requested to attend all sessions (non-series)
Prereq: No background in Statistics assumed
This mini-course will introduce basic concepts of probability theory and statistical models applicable to the quantitative study of linguistic phenomena. Participants will learn how to implement statistical models and graphically depict data in the statistical programming language R. Concepts that will be covered include: scales, distributions, hypothesis testing, experimental design, random variables, Central Limit Theorem, Bayes' Rule, sampling, t-test, ANOVA, regression, logistic regression, mixed models.
Participants are expected to complete all assigned readings and problem sets.
Web: http://stellar.mit.edu/S/project/mathmod/index.html
Contact: Peter Graff, 32-D866, 452-2444, graff@mit.edu
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