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Minor Requirements
Students who wish to minor in Symbolic Systems should review the requirements and steps to declare below.
Requirements
Students may minor in Symbolic Systems by completing either Option 1 or Option 2 below, subject to the University Policy on Minors. See also the Introductory Skill Requirements course list.
Option 1: One in each
One course in each of the following core areas (please note that several of these courses have prerequisites):
Logic and Computation
Computer Programming
Philosophical Foundations
Linguistic Theory
One of the following:
- LINGUIST 105. Phonetics (same as LINGUIST 205A)
- LINGUIST 110. Introduction to Phonology
- LINGUIST 120. Introduction to Syntax
- LINGUIST 121A. The Syntax of English
- LINGUIST 121B. Crosslinguistic Syntax
- LINGUIST 130A. Introduction to Semantics and Pragmatics (same as LINGUIST 230A)
- LINGUIST 130B. Introduction to Lexical Semantics
- SYMSYS 184. Syntactic Theory and Implementation (same as LINGUIST 184)
Computation and Cognition
One of the following:
- CS 131. Computer Vision: Foundations and Applications
- CS 221. Artificial Intelligence: Principles and Techniques
- CS 228. Probabilistic Graphical Models: Principles and Techniques
- CS 229. Machine Learning
- CS 230. Deep Learning
- CS 231A. Computer Vision: From 3-D Reconstruction to Recognition
- CS 234. Reinforcement Learning
- CS 379C. Computational Models of the Neocortex
- EE 104. Introduction to Machine Learning
- LINGUIST 180. From Languages to Information (same as CS 124, LINGUIST 280)
- LINGUIST 182. Computational Theories of Syntax (same as LINGUIST 282)
- NENS 220. Computational Neuroscience
- PHIL 356C. Logic and Artificial Intelligence (same as CS 257)
- PSYCH 109. An Introduction to Computation and Cognition
- PSYCH 164. Brain Decoding
- PSYCH 204. Computation and Cognition: the Probabilistic Approach
- PSYCH 209. Neural Network and Deep Learning Models for Cognition and Cognitive Neuroscience
- PSYCH 240A: Curiosity in Artificial Intelligence (EDUC 234)
- PSYCH 242. Theoretical Neuroscience (same as APPPHYS 293)
- PSYCH 249. Large-Scale Neural Network Modeling for Neuroscience (same as CS 375)
- PSYCH 263: Cognitive Neuroscience: Vision
- PSYCH 279: Measuring Learning in the Brain (EDUC 464, NEPR 464, SYMSYS 195M)
Option 2: Both of the following
SYMSYS 1. Minds and Machines (same as LINGUIST 35, PHIL 99, PSYCH 35)
SYMSYS 1. Minds and Machines (same as LINGUIST 35, PHIL 99, PSYCH 35)
An interdisciplinary pre-Approved Concentration
An interdisciplinary pre-Approved Concentration
- The Individually Designed Concentration option is not available for a minor.
- The selection of courses used for the minor must be interdisciplinary; i.e., it must include courses from at least three departments or include more than one course from each of two departments.
- Contingent Electives, which are available when Symbolic Systems major Core courses are cross-applied to Concentration requirements, are not applicable to a minor in Symbolic Systems.
- The "Junior year or later" stipulation for SymSys majors completing the Integrative Requirement does not apply if the Concentration is being completed for a Minor.
How to Declare the Minor
- Declare via Axess.
- After declaring in Axess, please email symsys-sso [at] stanford.edu (symsys-sso[at]stanford[dot]edu) with your course planning guide for completing the minor.
- On approval of the course planning guide, your declaration will be processed and completed.