CS 24: Minds and Machines (LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 1, SYMSYS 200)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-SocSci, WAY-FR
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
...
more instructors for CS 24 »
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
LINGUIST 35: Minds and Machines (CS 24, PHIL 99, PSYCH 35, SYMSYS 1, SYMSYS 200)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-SocSci, WAY-FR
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
...
more instructors for LINGUIST 35 »
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Cooper, E. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
PHIL 99: Minds and Machines (CS 24, LINGUIST 35, PSYCH 35, SYMSYS 1, SYMSYS 200)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-SocSci, WAY-FR
Instructors:
Goodman, N. (PI)
;
Kenney, W. (PI)
;
Lassiter, D. (PI)
...
more instructors for PHIL 99 »
Instructors:
Goodman, N. (PI)
;
Kenney, W. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Cooper, E. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
PSYCH 35: Minds and Machines (CS 24, LINGUIST 35, PHIL 99, SYMSYS 1, SYMSYS 200)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-SocSci, WAY-FR
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
...
more instructors for PSYCH 35 »
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Cooper, E. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
SYMSYS 1: Minds and Machines (CS 24, LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 200)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-SocSci, WAY-FR
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
...
more instructors for SYMSYS 1 »
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Cooper, E. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
SYMSYS 1P: A Practical Introduction to Symbolic Systems
An optional supplement to "Minds and Machines" (
SYMSYS 1), aimed at prospective majors in Symbolic Systems. Students will learn from the perspectives of faculty, alums, and advanced students about how to navigate the many paths available to a student: Sym Sys versus other majors, undergraduate core options, selecting courses and a concentration, research opportunities, internships, the honors program, graduate programs, careers, and life paths.
Last offered: Spring 2020
SYMSYS 200: Minds and Machines (CS 24, LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 1)
(Formerly
SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win
| Units: 4
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
...
more instructors for SYMSYS 200 »
Instructors:
Goodman, N. (PI)
;
Lassiter, D. (PI)
;
Mitchell, J. (PI)
;
Yoon, E. (PI)
;
Frank, M. (SI)
;
Yoon, E. (SI)
;
Ahmed, H. (TA)
;
Cooper, E. (TA)
;
Han, J. (TA)
;
Hu, X. (TA)
;
Karra, M. (TA)
;
Kenney, W. (TA)
;
Kornberg, J. (TA)
;
Qing, C. (TA)
;
Regan, S. (TA)
;
Shacklette, D. (TA)
;
Turman, J. (TA)
;
Wallack, E. (TA)
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