Stanford Root

Schedule

Stanford Root

Schedule

SYMSYS 200

Minds and Machines (CS 24, LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 1)

UNITS:4
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

(Formerly SYMSYS 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.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

3 Terms
Lecture 1Open
ID: 7178
0 / 50 enrolled
DAYS:Tuesday, Thursday
TIME:10:30 AM – 11:20 AM
LOCATION:Bishop Auditorium
INSTRUCTOR:
Frank, Michael, Krejci, Bonnie, Goodman, Noah
4units
Discussion 1Open
ID: 7179
0 / 1 enrolled
DAYS:Tuesday
TIME:11:30 AM – 12:20 PM
LOCATION:Gates100
4units
Discussion 2Open
ID: 7202
0 / 1 enrolled
DAYS:Tuesday
TIME:12:30 PM – 1:20 PM
LOCATION:160-127
4units
Discussion 3Open
ID: 7203
0 / 5 enrolled
DAYS:Tuesday
TIME:1:30 PM – 2:20 PM
LOCATION:ANKO 108
4units
Discussion 4Open
ID: 12586
0 / 15 enrolled
DAYS:Tuesday
TIME:2:30 PM – 3:20 PM
LOCATION:STLC 118
4units

SYMSYS 200: Minds and Machines (CS 24, LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 1)

4 units · Letter or Credit/No Credit

(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.

Offered in Autumn 2026, Winter 2027, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 10:30 AM – 11:20 AM — Bishop Auditorium — Frank, Michael, Krejci, Bonnie, Goodman, Noah (Graduate)
  • Discussion — Tuesday 1:30 PM – 2:20 PM — ANKO 108 (Graduate)
  • Discussion — Tuesday 12:30 PM – 1:20 PM — 160-127 (Graduate)
  • Discussion — Tuesday 11:30 AM – 12:20 PM — Gates100 (Graduate)
  • Discussion — Tuesday 2:30 PM – 3:20 PM — STLC 118 (Graduate)

Winter 2027 sections

  • Discussion — Thursday 12:30 PM – 1:20 PM — Moore, Holden (Graduate)
  • Discussion — Thursday 9:30 AM – 10:20 AM — Chan, Jade (Graduate)
  • Discussion — Thursday 10:30 AM – 11:20 AM — Zou, Chelsea (Graduate)
  • Discussion — Thursday 1:30 PM – 2:20 PM — Mao, Huijun (Graduate)
  • Discussion — Wednesday 11:30 AM – 12:20 PM — Chang, Jillian (Graduate)
  • Discussion — Wednesday 3:30 PM – 4:20 PM — Mao, Huijun (Graduate)
  • Discussion — Wednesday 3:30 PM – 4:20 PM — Obasi, Kalu (Graduate)
  • Discussion — Wednesday 2:30 PM – 3:20 PM — Semu, Noah (Graduate)
  • Discussion — Wednesday 1:30 PM – 2:20 PM — Chen, Emily (Graduate)
  • Discussion — Wednesday 12:30 PM – 1:20 PM — Obasi, Kalu (Graduate)
  • Discussion — Wednesday 1:30 PM – 2:20 PM — Brophy, Sarah (Graduate)
  • Discussion — Thursday 3:30 PM – 4:20 PM — Zou, Chelsea (Graduate)
  • Discussion — TBA TBA (Graduate)
  • Discussion — TBA TBA (Graduate)
  • Discussion — Wednesday 4:30 PM – 5:20 PM — Han, Dyllan (Graduate)
  • Discussion — Wednesday 11:30 AM – 12:20 PM — McDaniel, Jaiden (Graduate)
  • Lecture — Wednesday Friday 10:30 AM – 11:20 AM — Frank, Michael, Krejci, Bonnie, Goodman, Noah (Graduate)
  • Discussion — Thursday 1:30 PM – 2:20 PM (Graduate)

Spring 2027 sections

  • Lecture — TBA TBA (Graduate)
  • Discussion — Tuesday 3:30 PM – 4:20 PM (Graduate)
  • Discussion — Tuesday 3:30 PM – 4:20 PM (Graduate)
  • Discussion — Wednesday 1:30 PM – 2:20 PM (Graduate)
  • Discussion — Wednesday 12:30 PM – 1:20 PM (Graduate)
  • Discussion — Wednesday 10:30 AM – 11:20 AM (Graduate)
  • Discussion — Wednesday 11:30 AM – 12:20 PM (Graduate)
  • Discussion — Tuesday 4:30 PM – 5:20 PM (Graduate)
  • Discussion — Wednesday 9:30 AM – 10:20 AM (Graduate)
  • Discussion — TBA TBA (Graduate)
  • Discussion — Thursday 12:30 PM – 1:20 PM (Graduate)
  • Discussion — TBA TBA (Graduate)
  • Discussion — Thursday 9:30 AM – 10:20 AM (Graduate)
  • Discussion — Thursday 10:30 AM – 11:20 AM (Graduate)
  • Discussion — Wednesday 4:30 PM – 5:20 PM (Graduate)
  • Discussion — Wednesday 2:30 PM – 3:20 PM (Graduate)
  • Discussion — Wednesday 3:30 PM – 4:20 PM (Graduate)
  • Discussion — Thursday 4:30 PM – 5:20 PM (Graduate)

More SYMSYS courses

  • SYMSYS 195R: Writing Systems: Theory, History, and Cognition (SYMSYS 295R)
  • SYMSYS 195S: Service Design (CS 247S)
  • SYMSYS 195U: Natural Language Understanding (CS 224U, LINGUIST 188, LINGUIST 288)
  • SYMSYS 195W: Does Language Influence Thought?
  • SYMSYS 196: Independent Study
  • SYMSYS 197: Practicum in Teaching SymSys 1
  • SYMSYS 202: Theories of Consciousness (PHIL 182J)
  • SYMSYS 203: Cognitive Science Perspectives on Humanity and Well-Being
  • SYMSYS 205: The Philosophy and Science of Perception (PHIL 185J)
  • SYMSYS 206: Topics in Natural and Artificial Intelligence (PSYCH 247)
  • SYMSYS 207: Conceptual Issues in Cognitive Science
  • SYMSYS 210: Governance Design: Real, Virtual, and Imaginary Worlds

All SYMSYS courses · All departments