Bulletin Archive
This archived information is dated to the 2011-12 academic year only and may no longer be current.
For currently applicable policies and information, see the current Stanford Bulletin.
Master of Science in Symbolic Systems
The University's basic requirements for the M.S. degree is discussed in the "Graduate Degrees" section of this bulletin.
The M.S. degree in Symbolic Systems is designed to be completed in the equivalent of one academic year by coterminal students or returning students who already have a B.S. degree in Symbolic Systems, and in two years or less by other students depending upon level of preparation. Admission is competitive, providing a limited number of students with the opportunity to pursue course and project work in consultation with a faculty adviser who is affiliated with the Symbolic Systems Program. The faculty adviser may impose requirements beyond those described here.
Admission to the program as a coterminal student is subject to the policies and deadlines described in the "Undergraduate Degrees and Programs" section of this bulletin (see "Coterminal Bachelor's and Master's Degrees"). Applicants to the M.S. program are reviewed each Winter Quarter. Information on deadlines, procedures for applying, and degree requirements are available from the program's student services coordinator in the Linguistics Department office (460-127E) and at http://symsys.stanford.edu/viewing/htmldocument/13623.
REQUIREMENTS
A candidate for the M.S. degree in Symbolic Systems must complete a program of 45 units. At least 36 of these must be graded units, passed with an average grade of 3.0 (B) or better. Any course taken as part of the 45-unit program must be taken for a letter grade unless the course is offered 'S/NC' only. Furthermore, none of the 45 units to be counted toward the M.S. degree may include units counted toward an undergraduate degree at Stanford or elsewhere. Course requirements are waived only if evidence is provided that similar or more advanced courses have been taken, either at Stanford or another institution. Courses that are waived rather than taken may not be counted toward the M.S. degree.
Each candidate for the M.S. degree must fulfill the following requirements:
- Submission to the Symbolic Systems Program office and approval of the following pre-project research documents:
- Project Area Statement, endorsed with a commitment from a student's prospective project advisor no later than May 1 of the academic year prior to the expected graduation year; and
- Qualifying Research Paper due no later than the end of the Summer Quarter prior to the expected graduation year.
- Completion of a coherent plan of study, to be approved by the Graduate Studies Director in consultation with the student's advisor and designed to support a student's project. An initial plan of study should be delineated on the Program Proposal Form prior to the end of the student's first quarter of study, to be modified at the time of the Project Area Statement with the approval of a student's advisor and the Graduate Studies Director. The plan of study must include courses more advanced than the Symbolic Systems undergraduate core in four main skill areas: formal, empirical, computational, and philosophical; and in at least three of the following departments: Computer Science, Linguistics, Philosophy, and Psychology. More advanced courses in each of the skill areas are defined as follows:
- Formal: a course in logic and computational theory beyond the level of PHIL 151
- Empirical: a course drawing on experimental or observational data or methods, beyond the level of PSYCH 55, LINGUIST 120, or LINGUIST 130A
- Computational: a course involving programming beyond the level of CS 107
- Philosophical: a course in the area of Philosophy of Mind/Language/Science/Epistemology or Metaphysics at the 200 level or above, certified by the instructor as worthy of graduate credit
- Completion of three quarters of the Symbolic Systems Program M.S. Seminar (SYMSYS 291).
COGNATE COURSES
The following is a list of cognate courses that may be applied to the M.S. in Symbolic Systems. See respective department listings for course descriptions and the University policy on graduate unit requirements.
- BIO 153. Cellular Neuroscience: Cell Signaling and Behavior (PSYCH 120)
- BIO 154. Molecular and Cellular Neurobiology
- BIO 222. Exploring Neural Circuits
- BIO 250. Human Behavioral Biology
- BIO 258. Developmental Neurobiology
- BIO 263. Neural Systems and Behavior
- BIOE 341. Computational Neural Networks
- BIOMEDIN 251. Outcomes Analysis (HRP 252)
- CME 100. Vector Calculus for Engineers (ENGR 154)
- CME 100A. Vector Calculus for Engineers, ACE
- CME 106. Introduction to Probability and Statistics for Engineers (ENGR 155C)
- CME 108. Introduction to Scientific Computing
- COMM 206. Communication Research Methods
- COMM 220. Digital Media in Society
- COMM 268. Experimental Research in Advanced User Interfaces (ME 468)
- COMM 269. Computers and Interfaces
- COMM 272. Media Psychology
- CS 103. Mathematical Foundations of Computing
- CS 106A. Programming Methodology
- CS 106B. Programming Abstractions
- CS 106X. Programming Abstractions (Accelerated)
- CS 107. Computer Organization and Systems
- CS 108. Object-Oriented Systems Design
- CS 109. Introduction to Probability for Computer Scientists
- CS 121. Introduction to Artificial Intelligence
- CS 142. Web Applications
- CS 147. Introduction to Human-Computer Interaction Design
- CS 148. Introduction to Computer Graphics and Imaging
- CS 154. Introduction to Automata and Complexity Theory
- CS 157. Logic and Automated Reasoning
- CS 161. Design and Analysis of Algorithms
- CS 170. Stanford Laptop Orchestra: Composition, Coding, and Performance (MUSIC 128)
- CS 181. Computers, Ethics, and Public Policy
- CS 193D. Professional Software Development with C++
- CS 204. Computational Law
- CS 205A. Mathematical Methods for Robotics, Vision, and Graphics
- CS 207. The Economics of Software
- CS 221. Artificial Intelligence: Principles and Techniques
- CS 222. Rational Agency and Intelligent Interaction (PHIL 358)
- CS 223A. Introduction to Robotics (ME 320)
- CS 224M. Multi-Agent Systems
- CS 224N. Natural Language Processing (LINGUIST 284)
- CS 224S. Speech Recognition and Synthesis (LINGUIST 285)
- CS 224U. Natural Language Understanding (LINGUIST 288)
- CS 225A. Experimental Robotics
- CS 225B. Robot Programming Laboratory
- CS 226. Statistical Techniques in Robotics
- CS 227. Knowledge Representation and Reasoning
- CS 227B. General Game Playing
- CS 228. Probabilistic Graphical Models: Principles and Techniques
- CS 228T. Probabilistic Graphical Models: Advanced Methods
- CS 229. Machine Learning
- CS 247. Human-Computer Interaction Design Studio
- CS 261. Optimization and Algorithmic Paradigms
- CS 270. Modeling Biomedical Systems: Ontology, Terminology, Problem Solving (BIOMEDIN 210)
- CS 271. Smart Health through Effective Design (BIOMEDIN 211)
- CS 274. Representations and Algorithms for Computational Molecular Biology (BIOE 214, BIOMEDIN 214, GENE 214)
- CS 276. Information Retrieval and Web Search (LINGUIST 286)
- CS 278. Systems Biology (BIOE 310, CSB 278)
- CS 294H. Research Project in Human-Computer Interaction
- CS 303. Designing Computer Science Experiments
- CS 326A. Motion Planning
- CS 364A. Algorithmic Game Theory
- CS 376. Research Topics in Human-Computer Interaction
- CS 377. Topics in Human-Computer Interaction
- CS 377L. Learning in a Networked World (EDUC 298)
- CS 378. Phenomenological Foundations of Cognition, Language, and Computation
- CS 447. Software Design Experiences
- CS 448B. Data Visualization
- ECON 102B. Introduction to Econometrics
- ECON 102C. Advanced Topics in Econometrics
- ECON 135. Finance for Non-MBAs (MS&E 245G)
- ECON 136. Market Design
- ECON 137. Information and Incentives
- ECON 138. Risk and Insurance
- ECON 141. Public Finance and Fiscal Policy (PUBLPOL 107)
- ECON 153. Economics of the Internet
- ECON 155. Environmental Economics and Policy
- ECON 160. Game Theory and Economic Applications
- ECON 179. Experimental Economics
- ECON 190. Introduction to Financial Accounting
- ECON 281. Normative Decision Theory and Social Choice
- ECON 286. Game Theory and Economic Application
- ECON 288. Computational Economics
- ECON 289. Advanced Topics in Game Theory and Information Economics
- ECON 290. Multiperson Decision Theory
- EDUC 124. Collaborative Design and Research of Technology-integrated Curriculum
- EDUC 218. Topics in Cognition and Learning: Visualization
- EDUC 247. Moral Education
- EDUC 298. Learning in a Networked World (CS 377L)
- EDUC 303X. Designing Learning Spaces
- EDUC 333A. Understanding Learning Environments
- EDUC 342. Child Development and New Technologies
- EDUC 366X. Learning in Formal and Informal Environments
- EDUC 369. Human Cognitive Abilities
- EDUC 375A. Seminar on Organizational Theory (MS&E 389, SOC 363A)
- EDUC 391X. Web-Based Technologies in Teaching and Learning
- EE 263. Introduction to Linear Dynamical Systems (CME 263)
- EE 364A. Convex Optimization I (CME 364A)
- EE 364B. Convex Optimization II (CME 364B)
- EE 373B. Adaptive Neural Networks
- EE 376A. Information Theory (STATS 376A)
- EE 376B. Information Theory (STATS 376B)
- EE 278A. Probabilistic Systems Analysis
- ENGR 155C. Introduction to Probability and Statistics for Engineers (CME 106)
- ENGR 205. Introduction to Control Design Techniques
- ENGR 209A. Analysis and Control of Nonlinear Systems
- ETHICSOC 108. Ethics and the Professions
- LINGUIST 106. Introduction to Speech Perception
- LINGUIST 110. Introduction to Phonetics and Phonology
- LINGUIST 116. Morphology
- LINGUIST 120. Introduction to Syntax
- LINGUIST 130B. Introduction to Lexical Semantics
- LINGUIST 205A. Phonetics
- LINGUIST 205B. Advanced Phonetics
- LINGUIST 210A. Phonology
- LINGUIST 210B. Advanced Phonology
- LINGUIST 221A. Foundations of English Grammar
- LINGUIST 221B. Studies in Universal Grammar
- LINGUIST 222A. Foundations of Syntactic Theory I
- LINGUIST 224. Introduction to Lexical Function Grammar
- LINGUIST 224B. Advanced Topics in Lexical Functional Grammar
- LINGUIST 230A. Introduction to Semantics and Pragmatics
- LINGUIST 230B. Advanced Semantics and Pragmatics
- LINGUIST 232A. Lexical Semantics
- LINGUIST 240. Language Acquisition I
- LINGUIST 241. Language Acquisition II
- LINGUIST 247. Seminar in Psycholinguistics: Information-Theoretic Models of Language and Cognition (PSYCH 227)
- LINGUIST 280. From Languages to Information
- LINGUIST 281. Grammar Engineering
- LINGUIST 282. Computational Theories of Syntax
- LINGUIST 284. Natural Language Processing (CS 224N)
- LINGUIST 285. Speech Recognition and Synthesis (CS 224S)
- LINGUIST 286. Information Retrieval and Web Search (CS 276)
- LINGUIST 288. Natural Language Understanding (CS 224U)
- MATH 103. Matrix Theory and Its Applications
- MATH 113. Linear Algebra and Matrix Theory
- MATH 151. Introduction to Probability Theory
- MATH 161. Set Theory
- MATH 292A. Set Theory (PHIL 352A)
- ME 115A. Introduction to Human Values in Design
- ME 115B. Product Design Methods
- MS&E 111. Introduction to Optimization
- MS&E 120. Probabilistic Analysis
- MS&E 121. Introduction to Stochastic Modeling
- MS&E 134/234. Organization Change and Information Systems
- MS&E 180. Organizations: Theory and Management
- MS&E 197. Ethics and Public Policy (PUBLPOL 103B, STS 110)
- MS&E 201. Dynamic Systems
- MS&E 236. Game Theory with Engineering Applications
- MS&E 236H. Game Theory with Engineering Applications
- MS&E 248. Economics of Natural Resources
- MS&E 250A. Engineering Risk Analysis (PUBLPOL 355)
- MS&E 250B. Project Course in Engineering Risk Analysis
- MS&E 251. Stochastic Decision Models
- MS&E 252. Decision Analysis I: Foundations of Decision Analysis
- MS&E 254. The Ethical Analyst
- MS&E 299. Voluntary Social Systems
- MS&E 339. Approximate Dynamic Programming
- MS&E 352. Decision Analysis II: Professional Decision Analysis
- MS&E 355. Influence Diagrams and Probabilistics Networks
- MUSIC 128. Stanford Laptop Orchestra: Composition, Coding, and Performance (CS 170)
- MUSIC 220A. Fundamentals of Computer-Generated Sound
- MUSIC 220B. Compositional Algorithms, Psychoacoustics, and Computational Music
- MUSIC 220C. Research Seminar in Computer-Generated Music
- MUSIC 250A. HCI Theory and Practice
- MUSIC 251. Psychophysics and Music Cognition
- MUSIC 253. Music Notation and Representation Software
- MUSIC 254. Symbolic Music Analysis and Retrieval
- NBIO 206. The Nervous System
- NBIO 218. Neural Basis of Behavior
- NBIO 220. Central Mechanisms in Vision-based Cognition
- NENS 220. Computational Neuroscience
- PHIL 102. Modern Philosophy, Descartes to Kant
- PHIL 184B. Philosophy of the Body
- PHIL 184P. Probability and Epistemology
- PHIL 185. Memory
- PHIL 194C. Time and Free Will
- PHIL 194R. Epistemic Paradoxes
- PHIL 243. Quine
- PHIL 250. Basic Concepts in Mathematical Logic
- PHIL 251. First-Order Logic
- PHIL 252. Computability and Logic
- PHIL 254. Modal Logic
- PHIL 255. Concepts of Freedom
- PHIL 257. Topics in Philosophy of Logic
- PHIL 262. Philosophy of Mathematics
- PHIL 264. Central Topics in the Philosophy of Science: Theory and Evidence
- PHIL 265. Philosophy of Physics
- PHIL 266. Probability: Ten Great Ideas About Chance (STATS 267)
- PHIL 267B. Philosophy, Biology, and Behavior
- PHIL 269. Evolution of the Social Contract
- PHIL 270. Ethical Theory
- PHIL 279. Collectivities (POLISCI 336J)
- PHIL 280. Metaphysics
- PHIL 280A. Realism, Anti-Realism, Irrealism, Quasi-Realism
- PHIL 281. Philosophy of Language
- PHIL 282. Truth
- PHIL 284. Theory of Knowledge
- PHIL 284F. Feminist Theories of Knowledge
- PHIL 286. Philosophy of Mind
- PHIL 287. Philosophy of Action
- PHIL 288. Personal Identity
- PHIL 289. Examples of Free Will
- PHIL 350A. Model Theory
- PHIL 351A. Recursion Theory
- PHIL 354. Topics in Logic
- PHIL 355. Logic and Social Choice
- PHIL 358. Rational Agency and Intelligent Interaction (CS 222)
- PHIL 366. Evolution and Communication
- PHIL 387. Practical Rationality
- PHIL 391. Research Seminar in Logic and the Foundations of Mathematics (MATH 391)
- POLISCI 120A. American Political Sociology and Public Opinion: Who We Are and What We Believe
- POLISCI 344U. Political Culture
- POLISCI 351A. Foundations of Political Economy
- POLISCI 352. Introduction to Game Theoretic Methods in Political Science
- PSYCH 104. Uniquely Human
- PSYCH 110. Research Methods and Experimental Design
- PSYCH 120. Cellular Neuroscience: Cell Signaling and Behavior (BIO 153)
- PSYCH 122S. Introduction to Cognitive and Comparative Neuroscience
- PSYCH 134. Seminar on Language and Deception
- PSYCH 141. Cognitive Development
- PSYCH 143. Developmental Anomalies
- PSYCH 152. Mediation for Dispute Resolution (EDUC 131)
- PSYCH 154. Judgment and Decision-Making
- PSYCH 166. Seminar on Personal and Social Change
- PSYCH 167. Seminar on Aggression
- PSYCH 202. Cognitive Neuroscience
- PSYCH 204. Computation and cognition: the probabilistic approach
- PSYCH 204A. Human Neuroimaging Methods
- PSYCH 204B. Computational Neuroimaging: Analysis Methods
- PSYCH 205. Foundations of Cognition
- PSYCH 209A. The Neural Basis of Cognition: A Parallel Distributed Processing Approach
- PSYCH 209B. Applications of Parallel Distributed Processing Models to Cognition and Cognitive Neuroscience
- PSYCH 210. Foundations of Memory
- PSYCH 212. Social Psychology
- PSYCH 215. Mind, Culture, and Society
- PSYCH 221. Applied Vision and Image Systems
- PSYCH 223. Social Norms (OB 630)
- PSYCH 226. Models and Mechanisms of Memory
- PSYCH 227. Seminar in Psycholinguistics: Information-Theoretic Models of Language and Cognition (LINGUIST 247)
- PSYCH 228. Ion Transport and Intracellular Messengers
- PSYCH 232. Brain and Decision Making
- PSYCH 239. Formal and Computational Approaches in Psychology and Cognitive Science
- PSYCH 239A. Birds to Words: Cognition, Communication, and Language
- PSYCH 245. Social Psychological Perspectives on Stereotyping and Prejudice
- PSYCH 250. High-Level Vision: Object Representation (CS 431)
- PSYCH 251. Affective Neuroscience
- PSYCH 252. Statistical Methods for Behavioral and Social Sciences
- PSYCH 253. Statistical Theory, Models, and Methodology
- PSYCH 259. Emotions: History, Theories, and Research
- PSYCH 262. Language and Thought
- PSYCH 268. Emotion Regulation
- PSYCH 270. The Psychology of Everyday Morality
- PSYCH 272. Special Topics in Psycholinguistics
- PSYCH 279. Topics in Cognitive Control
- PSYCH 296. Methods in Personality and Social Psychology
- PUBLPOL 195. Business and Public Policy
- PUBLPOL 201. Politics and Public Policy
- PUBLPOL 202. Organizations and Public Policy
- PUBLPOL 204. Economic Policy Analysis
- PUBLPOL 302B. Economic Analysis of Law
- SOC 121. The Individual in Social Structure: Foundations in Sociological Social Psychology
- SOC 210. Politics and Society
- SOC 214. Economic Sociology
- SOC 220. Interpersonal Relations
- SOC 222. Sociology of Culture
- SOC 226. Introduction to Social Networks
- SOC 227. Bargaining, Power, and Influence in Social Interaction
- SOC 260. Formal Organizations
- SOC 315. Topics in Economic Sociology
- STATS 110. Statistical Methods in Engineering and the Physical Sciences
- STATS 116. Theory of Probability
- STATS 141. Biostatistics (BIO 141)
- STATS 191. Introduction to Applied Statistics
- STATS 200. Introduction to Statistical Inference
- STATS 211. Meta-research: Appraising Research Findings, Bias, and Meta-analysis (HRP 206, MED 206)
- STATS 217. Introduction to Stochastic Processes
- STATS 218. Introduction to Stochastic Processes
- STATS 227. Statistical Computing
- STATS 310A. Theory of Probability (MATH 230A)
- STATS 310B. Theory of Probability (MATH 230B)
- STATS 310C. Theory of Probability (MATH 230C)
- STATS 315A. Modern Applied Statistics: Learning
- STATS 315B. Modern Applied Statistics: Data Mining
- STS 110. Ethics and Public Policy (MS&E 197, PUBLPOL 103B)
- STS 201. Science, Technology, and Contemporary Society