Major: Bachelor of Science
MajorOverview
The observation that both human beings and computers can manipulate symbols lies at the heart of Symbolic Systems, an interdisciplinary program focusing on the relationship between natural and artificial systems that represent, process, and act on information. Computer programs, natural languages, the human mind, and the internet embody concepts whose study forms the core of the Symbolic Systems curriculum, such as computation, representation, communication, and intelligence.
The undergraduate program in Symbolic Systems is an interdisciplinary program focusing on the relationships between natural and artificial systems that use symbols to communicate and represent information. The program’s mission is to prepare majors with the vocabulary, theoretical background, and technical skills necessary to research questions about language, information, and intelligence, both human and machine. The curriculum offers a combination of traditional humanistic approaches to these questions and a training and familiarity with contemporary developments in the science and technology of computation. Students in the major take courses in cognitive science, computer programming, logic and computational theory, probability, cognitive psychology, philosophy of mind, linguistics, and artificial intelligence. The program prepares students for careers in the private and public sectors, especially those involving the human-facing sides of information systems/technology, and for further study and research in the cognitive and/or information sciences. A major in Symbolic Systems qualifies as a Science, Technology, Engineering, and Mathematics (STEM) major under the U.S. Department of Homeland Security’s Designated Degree Programs opens in a new tab list of STEM programs. Depending on the study plan, Sym Sys students can be classified as studying Cognitive Science and/or Informatics.
Advising
Upon declaration approval, students are assigned to the Program Director and Associate Director as major advisors. The student must also select and confirm a concentration advisor.
Declared majors must select a concentration advisor by autumn quarter of their junior year. A hold is placed on winter quarter registration for juniors who do not have a concentration advisor by autumn quarter of their junior year. Juniors declaring the major must have a concentration advisor confirmed at the time of declaration.
Any individual with an ongoing instructional appointment at Stanford may serve as the concentration advisor. To confirm a concentration advisor after an eligible faculty member has agreed to fill this role, the student must send an email message to symsys-sso@stanford.edu and the concentration advisor, including a statement of how the student plans to fulfill the capstone requirement of the major. Changes to capstone plans require the approval of the concentration advisor.
Requirements
Core Program Requirements
Conditions
The Symbolic Systems major requires the completion of:
Core curriculum — a standard set of foundations, breadth requirements, and experiential requirements that all students in the program must complete
Subplan — an approved concentration and depth in a particular specialization (subplan) chosen by the student; courses of at least three units each that fulfill the requirements for one of the subplan areas below.
Students must submit a course plan to the student services officer for Symbolic Systems at least two quarters before the planned graduation date, listing courses taken or that will be completed to fulfill the course requirements for the major.
Students must obtain approval for courses not listed as approved for a major requirement.
Conditions
Core requirements are typically completed earlier than a student’s concentration, but the only requirements that impose explicit restrictions on when a course can be completed during a student’s undergraduate career are the gateway and capstone requirements.
Preparations:
These courses should be completed early in the major.
Gateway Course
SYMSYS 1
Minds and Machines
Calculus and Linear Algebra
Introduction to Multivariate Calculus and Linear Algebra
Single Variable Calculus or other courses in multivariate calculus, linear algebra, and discrete methods.
MATH 19
Calculus
MATH 20
Calculus
MATH 21
Calculus
MATH 52
Integral Calculus of Several Variables
MATH 53
Differential Equations with Linear Algebra, Fourier Methods, and Modern Applications
MATH 62CM
Modern Mathematics: Continuous Methods
MATH 62DM
Modern Mathematics: Discrete Methods
MATH 63CM
Modern Mathematics: Continuous Methods
MATH 104
Applied Matrix Theory
MATH 113
Linear Algebra and Matrix Theory
CME 102
Ordinary Differential Equations for Engineers
CME 104
Linear Algebra and Partial Differential Equations for Engineers
In most cases, a student's first 4 to 10 units toward the Calculus and Linear Algebra requirement will consist of units in the Single Variable Calculus Math 19, 20 and 21 series. A student for whom the Mathematics Placement Diagnostic recommends placement beyond the level for which they have unit credit may take courses contained in this list beyond MATH 51 or CME 100 in Multivariate and Linear Algebra.
The Symbolic Systems Program recommends MATH rather than CME or ENGR courses as preferred ways for most students to learn multivariate calculus and linear algebra, because of their more extensive coverage of linear algebra methods used in many higher level courses which are options for the major.
6 units replacing MATH 19 and 20, or 10 units replacing MATH 19, 20, and 21, earned through Advanced Placement opens in a new tab or other international exams opens in a new tab can be applied towards the total required 8 units of Single Variable Calculus ( Units cannot be counted for both AP/exam credit and the courses that the credit replaces.)
Advanced Small Seminar Requirement
One approved course from one of the lists below that (a) builds on the Core Preparations and Breadth Requirements, (b) is small – 20 students or fewer, and (c) is an interactive, discussion-based seminar. May be double-counted for an applicable Concentration (Subplan) requirement, but not for a Core requirement.
Students are encouraged to take an ASSR course within their Concentration, but any approved ASSR course may be taken to fulfill the Core Advanced Small Seminar Requirement.
Applied Logic
PHIL 359
Logic Spring Seminar
Artificial Intelligence
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
CS 325B
Data for Sustainable Development
EDUC 234
Curiosity in Artificial Intelligence
MUSIC 220C
Research Seminar in Computer-Generated Music
PHIL 359
Logic Spring Seminar
PSYCH 247
Topics in Natural and Artificial Intelligence
SYMSYS 202
Theories of Consciousness
SYMSYS 206
Topics in Natural and Artificial Intelligence
Biomedical Applications
BIO 151
Mechanisms of Neuron Death
COMM 372G
Seminar in Psychological Processing
CS 352B
Blockchain Governance
PHIL 368A
Explanation in Neuroscience
PSYCH 168
Emotion Regulation
PSYCH 169
Advanced Seminar on Memory
PSYCH 209
Neural Network Models of Cognition
PSYCH 232
Brain and Decision Making
PSYCH 240
Big Questions About Small Brains
PSYCH 257
Affective Neuroscience
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 245
Cognition in Interaction Design
Cognitive Science
COMM 322
Advanced Studies in Behavior and Social Media
COMM 326
Advanced Topics in Human Virtual Representation
COMM 372G
Seminar in Psychological Processing
EDUC 218
Topics in Cognition and Learning: Enhancing Human Cognition with AI
MUSIC 220C
Research Seminar in Computer-Generated Music
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 194K
Capstone Seminar: The Metaphysics of Consciousness
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
PHIL 386
Qualitativism: Objects, Structure, and Ontology
PSYCH 168
Emotion Regulation
PSYCH 169
Advanced Seminar on Memory
PSYCH 226
Models and Mechanisms of Memory
PSYCH 232
Brain and Decision Making
PSYCH 240
Big Questions About Small Brains
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 266
Current Debates in Learning and Memory
PSYCH 278
Psychology of the Climate Crisis
PSYCH 285
The Anti-Racist Psychologist
SYMSYS 202
Theories of Consciousness
SYMSYS 203
Cognitive Science Perspectives on Humanity and Well-Being
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
Computational Foundations
PHIL 359
Logic Spring Seminar
Computational Social Science
Computer Music
MUSIC 220C
Research Seminar in Computer-Generated Music
MUSIC 351A
Seminar in Music Perception and Cognition I
Decision Making and Rationality
CS 325B
Data for Sustainable Development
ECON 290
Multiperson Decision Theory
PHIL 359
Logic Spring Seminar
PHIL 388
Topics in Normativity: Foundations of Epistemic Normativity
PSYCH 168
Emotion Regulation
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
PSYCH 265
Social Psychology and Social Change
PSYCH 278
Psychology of the Climate Crisis
SYMSYS 195D
Research in Digital Democracy
SYMSYS 201
Digital Technology, Society, and Democracy
SYMSYS 203
Cognitive Science Perspectives on Humanity and Well-Being
Human-Centered Artificial Intelligence
COMM 322
Advanced Studies in Behavior and Social Media
COMM 326
Advanced Topics in Human Virtual Representation
CS 206
Exploring Computational Journalism
CS 325B
Data for Sustainable Development
EDUC 234
Curiosity in Artificial Intelligence
EDUC 342
Child Development and New Technologies
MUSIC 220C
Research Seminar in Computer-Generated Music
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
PHIL 386
Qualitativism: Objects, Structure, and Ontology
PSYCH 169
Advanced Seminar on Memory
PSYCH 232
Brain and Decision Making
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 257
Affective Neuroscience
SYMSYS 201
Digital Technology, Society, and Democracy
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 245
Cognition in Interaction Design
Human-Computer Interaction
COMM 322
Advanced Studies in Behavior and Social Media
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
COMM 372G
Seminar in Psychological Processing
CS 206
Exploring Computational Journalism
SYMSYS 201
Digital Technology, Society, and Democracy
SYMSYS 245
Cognition in Interaction Design
Learning
COMM 326
Advanced Topics in Human Virtual Representation
EDUC 218
Topics in Cognition and Learning: Enhancing Human Cognition with AI
EDUC 234
Curiosity in Artificial Intelligence
EDUC 261E
Curriculum and Instruction Elective in Data Science
EDUC 342
Child Development and New Technologies
PSYCH 169
Advanced Seminar on Memory
PSYCH 226
Models and Mechanisms of Memory
PSYCH 240
Big Questions About Small Brains
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 266
Current Debates in Learning and Memory
SYMSYS 245
Cognition in Interaction Design
Media and Communication
COMM 322
Advanced Studies in Behavior and Social Media
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
COMM 372G
Seminar in Psychological Processing
CS 206
Exploring Computational Journalism
PSYCH 278
Psychology of the Climate Crisis
SYMSYS 201
Digital Technology, Society, and Democracy
Natural Language
COMM 324
Language and Technology
LINGUIST 217
Morphosyntax
LINGUIST 230C
Advanced Topics in Semantics & Pragmatics
LINGUIST 255C
Seminar in Sociolinguistics: Sociolinguistics in the Chinese Diaspora
LINGUIST 255K
Constructed Dialogue
MUSIC 451A
Basics in Auditory and Music Neuroscience
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 194K
Capstone Seminar: The Metaphysics of Consciousness
PHIL 359
Logic Spring Seminar
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 278
Psychology of the Climate Crisis
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
Neurosciences
BIO 151
Mechanisms of Neuron Death
MUSIC 451A
Basics in Auditory and Music Neuroscience
PHIL 368A
Explanation in Neuroscience
PSYCH 169
Advanced Seminar on Memory
PSYCH 226
Models and Mechanisms of Memory
PSYCH 232
Brain and Decision Making
PSYCH 240
Big Questions About Small Brains
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 250
High-level Vision: From Neurons to Deep Neural Networks
PSYCH 257
Affective Neuroscience
PSYCH 266
Current Debates in Learning and Memory
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
SYMSYS 245
Cognition in Interaction Design
Philosophical Foundations
PHIL 184D
Collective Epistemology and Shared Inquiry
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 194K
Capstone Seminar: The Metaphysics of Consciousness
PHIL 194P
Capstone Seminar: The Meaning of Life
PHIL 194Y
Capstone seminar: Metaphilosophy
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
Breadth in Discipline
Breadth Requirements Overview
One three-quarters training sequence in each of the four methodological areas below, plus a Cross-Area Requirement.
Four Methodological Areas:
Philosophical Analysis
Formal Methods
Computational Methods
Empirical Cognitive Science
1. Philosophical Analysis
Courses that focus on critical, deep questioning, careful reasoning, introspection, and argumentation, and the meaning of intuitions, scenarios, and evidence.
Introductory Philosophy
An introductory course in the Philosophy Department taught by a Philosophy Department faculty member. One of the following:
Any course of three units or more listed with a PHIL course number (except PHIL 99/SYMSYS 1)
Writing in the Major (WIM) course
PHIL 80
Mind, Matter, and Meaning
Advanced Philosophy
An advanced undergraduate Philosophy course that lists PHIL 80 as a prerequisite. Note that the Writing in the Major requirement (Phil 80) must be completed prior to completing this Advanced Philosophy requirement.
PHIL 86
How to Make a Moral Agent
PHIL 107B
Plato's Later Metaphysics and Epistemology
PHIL 132
Phenomenology: Merleau-Ponty
PHIL 164
Scientific Realism, Perspectivism, and Antirealism
PHIL 167D
Philosophy of Neuroscience
PHIL 172
History of Modern Moral Philosophy
PHIL 173B
Undergraduate Introduction to Metaethics
PHIL 175
Philosophy of Law
PHIL 180
Metaphysics
PHIL 181
Philosophy of Language
PHIL 181A
Philosophy of Language
PHIL 182H
Truth
PHIL 184
Epistemology
PHIL 184D
Collective Epistemology and Shared Inquiry
PHIL 185J
The Philosophy and Science of Perception
PHIL 186
Philosophy of Mind
PHIL 187
Philosophy of Action
PHIL 187B
Responsibility and the Criminal Law
PHIL 188A
Explanation
PHIL 188B
Undergrad Seminar: Striving and the Nature of Belief
PHIL 189
Reduction and Grounding
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
2. Formal Methods
Courses that focus on rigorous definitions, axioms, theorems, and proofs and their use in developing mathematical theories and meta-theories.
Choose one course from each of the following categories:
Formal Logic
Theory of Computation
Probability Theory & Statistics
Probability Theory & Statistics
A course that covers the theory of probability and is grounded in multivariable calculus.
CME 106
Introduction to Probability and Statistics for Engineers
CS 109
Introduction to Probability for Computer Scientists
EE 178
Probabilistic Systems Analysis
MATH 63DM
Modern Mathematics: Discrete Methods
MATH 151
Introduction to Probability Theory
MS&E 120
Introduction to Probability
MS&E 220
Probabilistic Analysis
STATS 117
Introduction to Probability Theory
3. Computational Methods
Courses focusing on software design, data structures, algorithms, development, applications, evaluation, and simulation.
Choose one course from each of the following categories:
Programming I
Programming II
A post-CS 106B Course - covering one or more broad computational methods with a programming component
Programming II
CS 106B
Programming Abstractions
Post-CS 106B Course
A course covering one or more broad computational methods with a programming component.
CS 107
Computer Organization and Systems
CS 107E
Computer Systems from the Ground Up
CS 129
Applied Machine Learning
CS 146J
Full-Stack Web Programming
CS 147
Introduction to Human-Computer Interaction Design
CS 147L
Cross-platform Mobile App Development
CS 193P
iOS Application Development
CS 221
Artificial Intelligence: Principles and Techniques
CS 229
Machine Learning
CS 230
Deep Learning
4. Empirical Cognitive Science
Courses that focus on questions, hypotheses, models, predictions, and explanations derived from or testable in neural and behavioral data.
Complete one course from each of the following categories:
Overview of Psychology
An Introductory Course in Cognition, Language, & Neuroscience
Linguistic Theory
Overview of Psychology
PSYCH 1
Introduction to Psychology
Introductory Course in Cognition, Language, & Neuroscience
BIO 150
Human Behavioral Biology
LINGUIST 105
Phonetics
LINGUIST 120A
Syntax I
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 130B
Introduction to Lexical Semantics
LINGUIST 145
Introduction to Psycholinguistics
LINGUIST 150
Language and Society
PSYCH 30
Introduction to Perception
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
PSYCH 60
Introduction to Developmental Psychology
PSYCH 70
Self and Society: Introduction to Social Psychology
PSYCH 154
Judgment and Decision-Making
Linguistic Theory
LINGUIST 110
Introduction to Phonology
LINGUIST 116A
Introduction to Word Formation
LINGUIST 120A
Syntax I
LINGUIST 120B
Syntax II
LINGUIST 121A
The Syntax of English
LINGUIST 121B
Crosslinguistic Syntax
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 130B
Introduction to Lexical Semantics
LINGUIST 134A
The Structure of Discourse: Theory and Applications
LINGUIST 145
Introduction to Psycholinguistics
LINGUIST 160
Historical Linguistics
Cross-Area Requirement
A non-introductory course, which has as a prerequisite of at least one Core course (or equivalent), which combines methods and subject matter from at least two Breadth areas.
Only one course must be chosen to fulfill the requirement. The following categories are for guidance only:
Suggested Courses for Most Students
Philosophical Analysis & Formal Methods
Philosophical Analysis & Computational Methods
Philosophical Analysis & Empirical Cognitive Science
Formal Methods & Computational Methods
Formal Methods & Empirical Cognitive Science
Computational Methods & Empirical Cognitive Science
Suggested Courses for Most Students
CS 147
Introduction to Human-Computer Interaction Design
CS 229
Machine Learning
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 180
From Languages to Information
PHIL 152
Computability and Logic
PHIL 154
Modal Logic
PHIL 167D
Philosophy of Neuroscience
PHIL 181
Philosophy of Language
PSYCH 209
Neural Network Models of Cognition
Philosophical Analysis & Computational Methods
Formal Methods & Computational Methods
CS 151
Logic Programming
CS 154
Introduction to the Theory of Computation
CS 161
Design and Analysis of Algorithms
CS 224N
Natural Language Processing with Deep Learning
CS 229
Machine Learning
CS 238
Decision Making under Uncertainty
CS 257
Introduction to Automated Reasoning
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 180
From Languages to Information
PHIL 152
Computability and Logic
PHIL 154
Modal Logic
PSYCH 209
Neural Network Models of Cognition
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 221
Image Systems Engineering
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
Formal Methods & Empirical Cognitive Science
CS 229
Machine Learning
ECON 178
Behavioral Economics
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 180
From Languages to Information
PHIL 154
Modal Logic
PHIL 181
Philosophy of Language
PSYCH 209
Neural Network Models of Cognition
PSYCH 221
Image Systems Engineering
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
Computational Methods & Empirical Cognitive Science
CS 147
Introduction to Human-Computer Interaction Design
CS 224C
NLP for Computational Social Science
CS 224N
Natural Language Processing with Deep Learning
CS 229
Machine Learning
CS 347
Human-Computer Interaction: Foundations and Frontiers
CS 448B
Data Visualization
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 180
From Languages to Information
PHIL 167D
Philosophy of Neuroscience
PSYCH 209
Neural Network Models of Cognition
PSYCH 204A
Human Neuroimaging Methods
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 221
Image Systems Engineering
PSYCH 240A
Curiosity in Artificial Intelligence
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
SYMSYS 206
Topics in Natural and Artificial Intelligence
Writing in the Major (WIM)
Mind Matter and Meaning
PHIL 80
Mind, Matter, and Meaning
Capstone
Capstone Overview
An experiential requirement consisting of the following components, chosen in consultation with, and approved by, a student’s Concentration (Subplan) Adviser (3 or more units each).
To obtain approval for your Capstone plan, submit the Capstone Approval Form opens in a new tab. This form must be submitted in addition to your SYMSYS Course Plan. Additionally, your Capstone plan is subject to final approval by the Symbolic Systems Program office and must be approved by the end of the first week of Winter Quarter, Junior Year (8th quarter) or a hold will be placed on Spring quarter registration.
Practicum - A Project or Internship-Accompanying Course
Senior Honors Tutorial
SYMSYS 190
Senior Honors Tutorial
Taken under a student's Honors Advisor.
An Approved Project Course With a SYMSYS Listing in The 195-Series
SYMSYS 195A
Design for Artificial Intelligence
SYMSYS 195B
Design for Behavior Change
SYMSYS 195D
Research in Digital Democracy
SYMSYS 195E
Experimental Methods
SYMSYS 195G
Design for Play
SYMSYS 195I
Image Systems Engineering
SYMSYS 195L
Methods in Psycholinguistics
SYMSYS 195M
Measuring Learning in the Brain
SYMSYS 195N
Natural Language Processing with Deep Learning
SYMSYS 195Q
What does AI get right and wrong about language?
SYMSYS 195R
Writing Systems: Theory, History, and Cognition
SYMSYS 195S
Service Design with AI
SYMSYS 195T
Natural Language Processing in the Social Sciences
SYMSYS 195U
Natural Language Understanding
SYMSYS 195V
Data Visualization
SYMSYS 195W
Does Language Influence Thought?
Supervised Research
SYMSYS 196
Independent Study
COMM 199
Individual Work
CS 197
Computer Science Research
CS 199
Independent Work
EDUC 190
Directed Research in Education
LINGUIST 199
Independent Study
MATH 360
Advanced Reading and Research
MUSIC 220D
Research in Computer-Generated Music
NBIO 199
Undergraduate Research
PHIL 196
Honors Tutorial, Senior Year
PHIL 197
Individual Work, Undergraduate
PSYCH 195
Special Laboratory Projects
PSYCH 199
Individually Supervised Practicum
STATS 199
Independent Study
Supervised research with a faculty member on an approved symbolic-systems-related project, taken as SYMSYS 196, or one of the following department-based directed research course:
Symbolic Systems in Practice
SYMSYS 192
Symbolic Systems in Practice
Must be taken in conjunction with an approved internship or service project.
Courses
One of the following courses, taken in conjunction with section leading in a SymSys Core course:
SYMSYS 197
Practicum in Teaching SymSys 1
PSYCH 182
Practicum in Teaching PSYCH 1
CS 198
Teaching Computer Science
Integrative Requirement
Either an additional research project course (e.g., the second course of an Honors Project) or a Subplan-Specific Integrative Course, which must be completed no earlier than the Junior Year.
Senior Honors Tutorial - Continuation
SYMSYS 190
Senior Honors Tutorial
Continuation of the course taken for the Practicum requirement.
An Approved Project Course With a SYMSYS Listing in The 195-Series
SYMSYS 195A
Design for Artificial Intelligence
SYMSYS 195B
Design for Behavior Change
SYMSYS 195D
Research in Digital Democracy
SYMSYS 195E
Experimental Methods
SYMSYS 195G
Design for Play
SYMSYS 195I
Image Systems Engineering
SYMSYS 195L
Methods in Psycholinguistics
SYMSYS 195M
Measuring Learning in the Brain
SYMSYS 195N
Natural Language Processing with Deep Learning
SYMSYS 195Q
What does AI get right and wrong about language?
SYMSYS 195R
Writing Systems: Theory, History, and Cognition
SYMSYS 195S
Service Design with AI
SYMSYS 195T
Natural Language Processing in the Social Sciences
SYMSYS 195U
Natural Language Understanding
SYMSYS 195V
Data Visualization
SYMSYS 195W
Does Language Influence Thought?
May be either the second quarter of a two-quarter course, or a one-quarter course.
Supervised Research
SYMSYS 196
Independent Study
COMM 199
Individual Work
CS 197
Computer Science Research
CS 199
Independent Work
EDUC 190
Directed Research in Education
LINGUIST 199
Independent Study
MATH 360
Advanced Reading and Research
MUSIC 220D
Research in Computer-Generated Music
NBIO 199
Undergraduate Research
PHIL 196
Honors Tutorial, Senior Year
PHIL 197
Individual Work, Undergraduate
PSYCH 195
Special Laboratory Projects
PSYCH 199
Individually Supervised Practicum
STATS 199
Independent Study
Supervised research with a faculty member on an approved symbolic-systems-related project, taken as SYMSYS 196, or one of the following department-based directed research courses:
Subplan-Specific Integrative Course
Presentation Requirement (not a course requirement, check-off only)
A public presentation of the student’s work at one of the following annual events:
Symbolic Systems Autumn Poster Fair for Summer Interns and Capstone Projects,
Symbolic Systems Spring Graduation Fair for Capstone and Master’s Projects, or
Symbolic Systems Senior Honors Forum at the end of spring quarter
Subplans
RequiredApplied Logic Subplan
Metalogic
PHIL 151
Metalogic
Set Theory
MATH 161
Set Theory
Integrative Requirement
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Any of the Standard Options for all Subplans specified under the Core Capstone requirement
Option 2 - Subplan Specific
CS 151
Logic Programming
CS 163
The Practice of Theory Research
CS 204
Computational Law
CS 227B
General Game Playing
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 242
Programming Languages
CS 254
Computational Complexity
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 230B
Advanced Semantics
PHIL 154
Modal Logic
PHIL 162
Philosophy of Mathematics
PHIL 359
Logic Spring Seminar
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 224R
Deep Reinforcement Learning
CS 254B
Computational Complexity II
CS 329X
Human Centered NLP
EE 364A
Convex Optimization I
ENGR 148
Principled Entrepreneurial Decisions
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
LAW 809E
Policy Practicum: AI For Legal Help
LINGUIST 1
Introduction to Linguistics
LINGUIST 230C
Advanced Topics in Semantics & Pragmatics
MATH 56
Proofs and Modern Mathematics
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 233
Game Theory, Data Science and AI
OSPHONGK 46
Fundamentals of Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
See also the Symbolic Systems website opens in a new tab.
Artificial Intelligence Subplan
Introduction
CS 221
Artificial Intelligence: Principles and Techniques
Artificial Intelligence Depth
CS 223A
Introduction to Robotics
CS 224N
Natural Language Processing with Deep Learning
CS 224S
Spoken Language Processing
CS 224U
Natural Language Understanding
CS 224W
Machine Learning with Graphs
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 231N
Deep Learning for Computer Vision
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
Chosen from the "select" list of AI courses (category B of the MSCS AI Track).
Integrative Requirement
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
CS 131
Computer Vision: Foundations and Applications
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 229M
Machine Learning Theory
CS 325B
Data for Sustainable Development
CS 329D
Machine Learning Under Distributional Shifts
LINGUIST 180
From Languages to Information
MUSIC 220C
Research Seminar in Computer-Generated Music
PHIL 359
Logic Spring Seminar
PSYCH 164
Brain decoding
PSYCH 209
Neural Network Models of Cognition
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 202
Theories of Consciousness
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options to be added as they are approved — some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-3 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 165A
Intro to Art & Technology
BIOE 70Q
Medical Device Innovation
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
CEE 250
Product Management Fundamentals in the AI Era
COMM 130D
Dark Patterns
COMM 153B
Free Speech, Democracy and the Internet
COMM 177T
Building News Applications
COMM 230A
Digital Civil Society
CS 53N
How Can Generative AI Help Us Learn?
CS 106EA
Exploring Artificial Intelligence
CS 111
Operating Systems Principles
CS 121
Equity and Governance for Artificial Intelligence
CS 123
A Hands-On Introduction to Building AI-Enabled Robots
CS 142
Web Applications
CS 148
Introduction to Computer Graphics and Imaging
CS 152
Trust and Safety
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 217
Hardware Accelerators for Machine Learning
CS 224G
Apps With LLMs Inside
CS 227B
General Game Playing
CS 236
Deep Generative Models
CS 246
Mining Massive Data Sets
CS 255
Introduction to Cryptography
CS 279
Computational Biology: Structure and Organization of Biomolecules and Cells
CS 323
The AI Awakening: Implications for the Economy and Society
CS 329A
Self Improving AI Agents
CS 329D
Machine Learning Under Distributional Shifts
CS 330
Deep Multi-task and Meta Learning
CS 337
AI-Assisted Care
CS 348I
Computer Graphics in the Era of AI
CS 348K
Visual Computing Systems
DATASCI 112
Principles of Data Science
DESIGN 284
Designing for Physical AI
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 104
Introduction to Machine Learning
EE 292J
Designing for Authenticity
ENGLISH 384B
Literary Modeling
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
ESS 224
Remote Sensing of Hydrology
FEMGEN 95
Feminist Games Studio
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
INTLPOL 259
Research Topics in Technology and National Security
LAW 809E
Policy Practicum: AI For Legal Help
LAW 4053
Confronting Misinformation Online: Law and Policy
LINGUIST 1
Introduction to Linguistics
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 265
Product Management Fundamentals for the Real Economy
MS&E 289
Ethics in Global Technology Design
MUSIC 220B
Compositional Algorithms, Psychoacoustics, and Computational Music
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
PHIL 20N
Philosophy of Artificial Intelligence
PHIL 134A
Phenomenology: Animals
PHIL 158
Philosophy of Logic
PHIL 386P
Mental Action
POLISCI 150B
Machine Learning for Social Scientists
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PUBLPOL 119
AI, Autonomy, and the Future of Warfare
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
STATS 217
Introduction to Stochastic Processes I
STATS 315A
Modern Applied Statistics: Learning
STATS 315B
Modern Applied Statistics: Learning II
SURG 172
Anatomy and Design Innovations
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
See also the Symbolic Systems Website opens in a new tab.
Biomedical Applications Subplan
Philosophical & Ethical Inquiry
HUMBIO 174
Foundations of Bioethics
HUMBIO 178A
Intro to Disability Studies: Disability and Technology
NBIO 101
Social and Ethical Issues in the Neurosciences
PHIL 134A
Phenomenology: Animals
PHIL 167D
Philosophy of Neuroscience
PHIL 178M
Introduction to Environmental Ethics
PHIL 368A
Explanation in Neuroscience
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
Theoretical & Mathematical Approaches
BIO 183
Theoretical Population Genetics
BIO 223
Stochastic and Nonlinear Dynamics
BIO 251
Quantitative Evolutionary Dynamics and Genomics
BMDS 219
Mathematical Models and Medical Decisions
ECON 136
Market Design
EE 102A
Signals and Systems I
HUMBIO 88
Introduction to Statistics for the Health Sciences
HUMBIO 89
Introduction to Health Sciences Statistics
HUMBIO 154B
Principles of Epidemiology
MS&E 292
Health Policy Modeling
STATS 141
Introduction to Statistics for Biology
STATS 215
Statistical Models in Biology
Computational & Design Methods
BMDS 270
Algorithmic Foundations for Artificial Intelligence in Healthcare
BIOE 313
Neuromorphics: Brains in Silicon
BMDS 210
Modeling Biomedical Systems
BMDS 260
Computational Methods for Biomedical Image Analysis and Interpretation
BIOMEDIN 273B
Deep Learning in Genomics and Biomedicine
BMDS 245
Computational Biology: Structure and Organization of Biomolecules and Cells
CS 247B
Design for Behavior Change
CS 247S
Service Design with AI
CS 173A
Foundations of Computational Human Genomics
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
CS 448B
Data Visualization
GENE 211
Genomics
HUMBIO 51
Big Data for Biologists - Decoding Genomic Function
HUMBIO 151R
Biology, Health and Big Data
PSYC 223B
Topics in Neurodiversity: Design Thinking Approaches
PSYCH 204B
Computational Neuroimaging: Data Analyses
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 245
Cognition in Interaction Design
Experimental & Observational Science
BIO 81
Introduction to Ecology
BIO 82
Genetics
BIO 84
Physiology
BIO 150
Human Behavioral Biology
BIO 151
Mechanisms of Neuron Death
BIO 204
Neuroplasticity: From Synapses to Behavior
HUMBIO 51
Big Data for Biologists - Decoding Genomic Function
HUMBIO 151R
Biology, Health and Big Data
HUMBIO 154B
Principles of Epidemiology
MS&E 292
Health Policy Modeling
NBIO 206
The Nervous System
PSYC 124
Brain Plasticity
PSYCH 30
Introduction to Perception
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
PSYCH 60
Introduction to Developmental Psychology
PSYCH 169
Advanced Seminar on Memory
PSYCH 202
Cognitive Neuroscience
PSYCH 204A
Human Neuroimaging Methods
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
Integrative Requirement
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
BMDS 210
Modeling Biomedical Systems
BIOMEDIN 220
Artificial Intelligence in Healthcare
BMDS 260
Computational Methods for Biomedical Image Analysis and Interpretation
BMDS 173A
Foundations of Computational Human Genomics
BIOMEDIN 273B
Deep Learning in Genomics and Biomedicine
BMDS 245
Computational Biology: Structure and Organization of Biomolecules and Cells
COMM 326
Advanced Topics in Human Virtual Representation
CS 325B
Data for Sustainable Development
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
PHIL 167D
Philosophy of Neuroscience
PHIL 178M
Introduction to Environmental Ethics
PHIL 368A
Explanation in Neuroscience
PSYC 223B
Topics in Neurodiversity: Design Thinking Approaches
PSYCH 169
Advanced Seminar on Memory
PSYCH 202
Cognitive Neuroscience
PSYCH 204A
Human Neuroimaging Methods
PSYCH 204B
Computational Neuroimaging: Data Analyses
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 245
Cognition in Interaction Design
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIO 2N
Ecology and Evolution of Infectious Disease in a Changing World
BIO 83
Biochemistry & Molecular Biology
BIOE 70Q
Medical Device Innovation
BIOE 177
Inventing the Future
BIOE 377
Startup Garage: Testing and Launch
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 152
Trust and Safety
CS 224R
Deep Reinforcement Learning
CS 257
Introduction to Automated Reasoning
CS 323
The AI Awakening: Implications for the Economy and Society
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 364A
Convex Optimization I
EE 374
Fundamentals of Blockchain Infrastructure
EE 292J
Designing for Authenticity
ENGR 50M
Introduction to Materials Science, Biomaterials Emphasis
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 233
Game Theory, Data Science and AI
MS&E 289
Ethics in Global Technology Design
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 44
Molecular Genetics Ethics and Practice
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OSPSANTG 25
Health and Disease in an Aging Society: Chile in Transition
OSPSANTG 58
Global Change in Chile
POLISCI 150B
Machine Learning for Social Scientists
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYC 17N
Think Before You Drink: Neurocircuitry of Alcohol Use Across the Developmental Lifespan
PSYCH 24N
Neuroforecasting
PSYCH 118F
Literature and the Brain
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 147
Development in Early Childhood
PSYCH 146
Observation of Children
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 215
Mind, Culture, and Society
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 238
Wise Interventions
PSYCH 278
Psychology of the Climate Crisis
PSYCH 285A
How Can We Enforce Good Norms in Inclusive Ways?
PUBLPOL 50
Intermediate Microeconomics for Public Policy
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
See also the Symbolic Systems website opens in a new tab.
Cognitive Science Subplan
Inferential Statistics
ANTHRO 116
Data Analysis for Quantitative Research
MS&E 125
Introduction to Applied Statistics
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
PSYCH 10
Introduction to Statistical Methods: Precalculus
SOC 180B
Introduction to Data Analysis
STATS 110
Introduction to Statistics for Engineering and the Sciences
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
Research Methods - A course on research practices and/or methods that are commonly used for studying cognition, language, and the brain
CS 107
Computer Organization and Systems
CS 129
Applied Machine Learning
CS 229
Machine Learning
LINGUIST 180
From Languages to Information
LINGUIST 188
Natural Language Understanding
LINGUIST 245B
Methods in Psycholinguistics
PHIL 167D
Philosophy of Neuroscience
PSYCH 164
Brain decoding
PSYCH 209
Neural Network Models of Cognition
PSYCH 221
Image Systems Engineering
PSYCH 240A
Curiosity in Artificial Intelligence
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 251
Experimental Methods
PSYCH 253
Multivariate Analysis, Measurement, and Study of Change in Social Science Research
STATS 220
Machine Learning Methods for Neural Data Analysis
Cognitive Science Depth
BIO 150
Human Behavioral Biology
COMM 108
Media Processes and Effects
COMM 322
Advanced Studies in Behavior and Social Media
CS 131
Computer Vision: Foundations and Applications
CS 154
Introduction to the Theory of Computation
CS 224N
Natural Language Processing with Deep Learning
CS 227B
General Game Playing
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229M
Machine Learning Theory
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
ECON 160
Game Theory and Economic Applications
EDUC 486
Educational Neuroscience
EDUC 368
Cognitive Development in Childhood and Adolescence
LINGUIST 105
Phonetics
LINGUIST 110
Introduction to Phonology
LINGUIST 180
From Languages to Information
LINGUIST 188
Natural Language Understanding
MUSIC 251
Psychophysics and Music Cognition
NBIO 206
The Nervous System
PHIL 152
Computability and Logic
PHIL 154
Modal Logic
PHIL 167D
Philosophy of Neuroscience
PHIL 181
Philosophy of Language
PHIL 184
Epistemology
PHIL 186
Philosophy of Mind
PHIL 187
Philosophy of Action
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 368A
Explanation in Neuroscience
PHIL 386
Qualitativism: Objects, Structure, and Ontology
PSYCH 30
Introduction to Perception
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
PSYCH 70
Self and Society: Introduction to Social Psychology
PSYCH 140
Introduction to Psycholinguistics
PSYCH 154
Judgment and Decision-Making
PSYCH 164
Brain decoding
PSYCH 169
Advanced Seminar on Memory
PSYCH 175
Developmental Science of Social Cognition
PSYCH 202
Cognitive Neuroscience
PSYCH 204A
Human Neuroimaging Methods
PSYCH 204B
Computational Neuroimaging: Data Analyses
PSYCH 205
Foundations of Cognition
PSYCH 209
Neural Network Models of Cognition
PSYCH 221
Image Systems Engineering
PSYCH 232
Brain and Decision Making
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 250
High-level Vision: From Neurons to Deep Neural Networks
PSYCH 257
Affective Neuroscience
PSYCH 266
Current Debates in Learning and Memory
SYMSYS 203
Cognitive Science Perspectives on Humanity and Well-Being
SYMSYS 207
Conceptual Issues in Cognitive Science
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 326
Advanced Topics in Human Virtual Representation
CS 131
Computer Vision: Foundations and Applications
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 221
Artificial Intelligence: Principles and Techniques
CS 227B
General Game Playing
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 230
Deep Learning
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
CS 325B
Data for Sustainable Development
EE 104
Introduction to Machine Learning
LINGUIST 180
From Languages to Information
MUSIC 220C
Research Seminar in Computer-Generated Music
MUSIC 257
You Are What You Use: Designing Technology for Neural Change
NBIO 101
Social and Ethical Issues in the Neurosciences
PHIL 134A
Phenomenology: Animals
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
PSYCH 164
Brain decoding
PSYCH 209
Neural Network Models of Cognition
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any of requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total 5 courses beyond those that are taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ANTHRO 348C
Phenomenology: The Feel of Lived Experience
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 153B
Free Speech, Democracy and the Internet
CS 53N
How Can Generative AI Help Us Learn?
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 257
Introduction to Automated Reasoning
CS 323
The AI Awakening: Implications for the Economy and Society
CS 337
AI-Assisted Care
ECON 47
Media Markets and Social Good
EDUC 423A
Introduction to Education Data Science: Data Processing
ENGLISH 384B
Literary Modeling
EE 374
Fundamentals of Blockchain Infrastructure
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 95
Feminist Games Studio
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 4B
Development and Epidemiology
HUMBIO 146
Culture and Madness: Anthropological and Psychiatric Approaches to Mental Illness
HUMBIO 171E
Modern Ethical Challenges in Neuroscience and Organ Transplantation
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
LINGUIST 1
Introduction to Linguistics
LINGUIST 154
Language, Race, and Ethnicity
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 233
Game Theory, Data Science and AI
MUSIC 168
Neuroscience and Psychology of Music: From Practice to Peak Performance
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 13
Know Thyself ! The Philosophy and Psychology of Self-Examination
OSPOXFRD 84
The Promises and Perils of Social and Behavioral Genomics
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
PHIL 134A
Phenomenology: Animals
PHIL 158
Philosophy of Logic
PHIL 171
Justice
POLISCI 150B
Machine Learning for Social Scientists
PSYC 17N
Think Before You Drink: Neurocircuitry of Alcohol Use Across the Developmental Lifespan
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 95
Introduction to Abnormal Psychology
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 238
Wise Interventions
PSYCH 265
Social Psychology and Social Change
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 119
AI, Autonomy, and the Future of Warfare
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
SURG 172
Anatomy and Design Innovations
SYMSYS 104
Introduction to Race and Technology
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
Additional courses may be added here in the future.
See also the Symbolic Systems website opens in a new tab.
Computational Foundations Subplan
Computational Foundations Subplan Overview
Algorithms
CS 161
Design and Analysis of Algorithms
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 120
Introduction to AI Safety
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 152
Trust and Safety
CS 224R
Deep Reinforcement Learning
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
DATASCI 112
Principles of Data Science
EE 364A
Convex Optimization I
ENGR 40M
An Intro to Making: What is EE
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
INTLPOL 268
Hack Lab: Introduction to Cybersecurity
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 265
Product Management Fundamentals for the Real Economy
NBIO 220
Machine Learning Methods for Neural Data Analysis
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 20N
Philosophy of Artificial Intelligence
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYC 221
Machine Learning for Neuroimaging
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
Any course of three units or more, listed with a CS course number greater than 110, excluding CS 196 or CS198.
Any course of three units or more, listed with an EE course number.
Any course of three units or more, listed with a MATH course number.
Any course of three units or more, listed with a STATS course number.
See also the Symbolic Systems website opens in a new tab.
Computational Social Science Subplan
Social Behavior
BIO 81
Introduction to Ecology
COMM 1
Introduction to Communication
ECON 1
Principles of Economics
ECON 46
Networks and Human Behavior
ECON 50
Economic Analysis I
ECON 160
Game Theory and Economic Applications
ECON 178
Behavioral Economics
ECON 180
Accelerated Game Theory
LINGUIST 150
Language and Society
MS&E 135
Networks
MS&E 180
Organizations: Theory and Management
MS&E 232
Introduction to Game Theory
POLISCI 1
The Science of Politics
POLISCI 120C
American Political Institutions in Uncertain Times
PSYCH 70
Self and Society: Introduction to Social Psychology
PSYCH 154
Judgment and Decision-Making
SOC 1
Introduction to Sociology
SOC 126
Introduction to Social Networks
SOC 130
Education and Society
SOC 146
Introduction to Comparative Studies in Race and Ethnicity
Statistical Inference - An introductory course in statistical methods
ECON 102A
Introduction to Statistical Methods (Postcalculus) for Social Scientists
MS&E 125
Introduction to Applied Statistics
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
SOC 180B
Introduction to Data Analysis
STATS 110
Introduction to Statistics for Engineering and the Sciences
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
Computational Data Methods - A course in machine learning, natural language processing, and/or probabilistic computational inference
CS 129
Applied Machine Learning
CS 224N
Natural Language Processing with Deep Learning
CS 224W
Machine Learning with Graphs
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 230
Deep Learning
CS 238
Decision Making under Uncertainty
CS 246
Mining Massive Data Sets
CS 448B
Data Visualization
ECON 102B
Applied Econometrics
LINGUIST 180
From Languages to Information
LINGUIST 188
Natural Language Understanding
PSYCH 209
Neural Network Models of Cognition
Social Data Science - A course on applying statistical and computational methods to the study of social behavior
COMM 106
Communication Research Methods
ECON 151
Tackling Big Questions Using Social Data Science
POLISCI 150A
Data Science for Politics
POLISCI 150C
Causal Inference for Social Science
PSYCH 290
Natural Language Processing in the Social Sciences
SOC 180A
Foundations of Social Research
SOC 194
Computational Undergraduate Research
SOC 369
Social Network Methods
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 322
Advanced Studies in Behavior and Social Media
COMM 326
Advanced Topics in Human Virtual Representation
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 206
Exploring Computational Journalism
CS 224W
Machine Learning with Graphs
CS 246
Mining Massive Data Sets
CS 278
Social Computing
CS 325B
Data for Sustainable Development
ECON 160
Game Theory and Economic Applications
ECON 178
Behavioral Economics
ECON 180
Accelerated Game Theory
PHIL 171
Justice
PHIL 171P
Liberalism and its Critics
PHIL 359
Logic Spring Seminar
PSYCH 154
Judgment and Decision-Making
PSYCH 253
Multivariate Analysis, Measurement, and Study of Change in Social Science Research
PSYCH 290
Natural Language Processing in the Social Sciences
SOC 154
The Politics of Algorithms
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ANTHRO 116
Data Analysis for Quantitative Research
ANTHRO 348C
Phenomenology: The Feel of Lived Experience
BIO 85
Evolution
BIO 102
Introduction to Neuroscience
BIO 145
Behavioral Ecology
BIO 154
Advanced Neurobiology: Food, Sex, and Gaming
BIOE 122
BioSecurity and Pandemic Resilience
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
BUSGEN 100
Triple Bottom Line: Managing Sustainable Value Creation
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 151
The First Amendment: Freedom of Speech and Press
COMM 153B
Free Speech, Democracy and the Internet
COMM 158
Censorship and Propaganda
COMM 176
Advanced Digital Journalism Production
COMM 177B
Big Local Journalism: a project-based class
COMM 177T
Building News Applications
COMM 230A
Digital Civil Society
CS 53N
How Can Generative AI Help Us Learn?
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 145
Intro to Modern Data Systems
CS 148
Introduction to Computer Graphics and Imaging
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 224R
Deep Reinforcement Learning
CS 236
Deep Generative Models
CS 257
Introduction to Automated Reasoning
CS 293
Empowering Educators via Language Technology
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
EARTHSYS 137
Concepts and Analytic Skills for the Social Sector
EARTHSYS 216A
Climate Perspectives: Climate Science, Impacts, Carbon Markets, Decarbonization Models and Projects
ECON 47
Media Markets and Social Good
ECON 106
World Food Economy
ECON 125
Economic Development, Microfinance, and Social Networks
ECON 144
Family and Society
ECON 150
Economic Policy Analysis
ECON 155
Climate change and global inequality
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 364A
Convex Optimization I
EE 374
Fundamentals of Blockchain Infrastructure
ENGLISH 384B
Literary Modeling
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ESS 224
Remote Sensing of Hydrology
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
INTLPOL 259
Research Topics in Technology and National Security
LINGUIST 1
Introduction to Linguistics
LINGUIST 154
Language, Race, and Ethnicity
LINGUIST 156
Language, Gender, & Sexuality
LINGUIST 157
Sociophonetics
LINGUIST 234
The Structure of Discourse: Theory and Applications
LINGUIST 250
Sociolinguistic Theory and Analysis
LINGUIST 258
Analysis of Variation
LINGUIST 285
Spoken Language Processing
LINGUIST 278
Programming for Linguists
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
MGTECON 634
Machine Learning and Causal Inference
MS&E 121
Introduction to Stochastic Modeling
MS&E 125
Introduction to Applied Statistics
MS&E 184
The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
MS&E 221
Stochastic Modeling
MS&E 223
Stochastic Simulation and Monte Carlo Methods
MS&E 243
Energy and Environmental Policy Analysis
MS&E 265
Product Management Fundamentals for the Real Economy
MS&E 280
Organizational Behavior: Evidence in Action
MS&E 289
Ethics in Global Technology Design
MS&E 292
Health Policy Modeling
NBIO 220
Machine Learning Methods for Neural Data Analysis
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 16
Immersive Creative Writing
OSPOXFRD 76
Access, Distinction and Material Culture through Coffee
OSPOXFRD 81
Displacement and Identity in 20th Century Europe
OSPOXFRD 84
The Promises and Perils of Social and Behavioral Genomics
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OSPSANTG 25
Health and Disease in an Aging Society: Chile in Transition
OSPSANTG 58
Global Change in Chile
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 2
Introduction to Moral Philosophy
PHIL 60
Introduction to Philosophy of Science
PHIL 167E
Philosophy of Evolutionary Biology
PHIL 170
Ethical Theory
POLISCI 223A
Public Opinion and American Democracy
POLISCI 227C
Money in Politics
PSYC 60N
The Psychology of Stoked
PSYC 86Q
Psychology of Xenophobia
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 125
Research Methods in Psychology
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 147
Development in Early Childhood
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 170
The Psychology of Communication About Politics in America
PSYCH 215
Mind, Culture, and Society
PSYCH 265
Social Psychology and Social Change
PSYCH 278
Psychology of the Climate Crisis
PSYCH 285A
How Can We Enforce Good Norms in Inclusive Ways?
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 119
AI, Autonomy, and the Future of Warfare
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 3
America: Unequal
SOC 10
Introduction to Computational Social Science
SOC 14N
Inequality in American Society
SOC 31N
Social Networks
SOC 114
Economic Sociology
SOC 118
Social Movements and Collective Action
SOC 133D
Globalization and Social Change
SOC 179A
Crime and Punishment in America
STATS 203
Regression Models and Analysis of Variance
STATS 209
Introduction to Causal Inference
STATS 211
Meta-research: Appraising Research Findings, Bias, and Meta-analysis
STATS 217
Introduction to Stochastic Processes I
STS 191W
Doing STS: Introduction to Research
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
SYMSYS 201
Digital Technology, Society, and Democracy
See also the Symbolic Systems website opens in a new tab.
Computer Music Subplan
Computer Music Subplan Overview
Symbolic Systems majors must complete the following requirements in addition to the Core requirements to fulfill the Subplan in Computer Music. All courses must be taken for three units of more.
Computer-Generated Music I
MUSIC 220A
Fundamentals of Computer-Generated Sound
Computer-Generated Music II
MUSIC 220B
Compositional Algorithms, Psychoacoustics, and Computational Music
Music and the Mind & Brain
MUSIC 1A
Music, Mind, and Human Behavior
MUSIC 251
Psychophysics and Music Cognition
MUSIC 351A
Seminar in Music Perception and Cognition I
PSYCH 30
Introduction to Perception
PSYCH 50
Introduction to Cognitive Neuroscience
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
MUSIC 128
Stanford Laptop Orchestra: Composition, Coding, and Performance
MUSIC 220C
Research Seminar in Computer-Generated Music
MUSIC 250A
Physical Interaction Design for Music
MUSIC 251
Psychophysics and Music Cognition
MUSIC 253
Symbolic Musical Information
MUSIC 254
Computational Music Analysis
MUSIC 256A
Music, Computing, Design: The Art of Design
MUSIC 257
You Are What You Use: Designing Technology for Neural Change
MUSIC 351A
Seminar in Music Perception and Cognition I
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 165A
Intro to Art & Technology
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
COMM 153B
Free Speech, Democracy and the Internet
CS 108
Object-Oriented Systems Design
CS 139
Human-Centered AI
CS 148
Introduction to Computer Graphics and Imaging
CS 257
Introduction to Automated Reasoning
CS 329X
Human Centered NLP
DESIGN 1
Introduction to Design
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 374
Fundamentals of Blockchain Infrastructure
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
LINGUIST 1
Introduction to Linguistics
LINGUIST 110
Introduction to Phonology
MS&E 265
Product Management Fundamentals for the Real Economy
MUSIC 222
Sound in Space
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 125
Research Methods in Psychology
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
STS 10
Introduction to AI Safety
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
See also the Symbolic Systems website opens in a new tab.
Decision Making & Rationality (DMAR) Subplan
Philosophical Inquiry
MS&E 254
The Ethical Analyst
PHIL 170
Ethical Theory
PHIL 171
Justice
PHIL 172
History of Modern Moral Philosophy
PHIL 184
Epistemology
PHIL 187
Philosophy of Action
PHIL 359
Logic Spring Seminar
PHIL 388
Topics in Normativity: Foundations of Epistemic Normativity
POLISCI 131L
Modern Political Thought: Machiavelli to Marx and Mill
POLISCI 230A
Classical Seminar: Origins of Political Thought
Formal Decision Theories
ECON 51
Economic Analysis II
ECON 136
Market Design
ECON 160
Game Theory and Economic Applications
ECON 180
Accelerated Game Theory
ECON 289
Advanced Topics in Game Theory and Information Economics
MS&E 232
Introduction to Game Theory
MS&E 232H
Introduction to Game Theory (Accelerated)
PHIL 154
Modal Logic
PHIL 359
Logic Spring Seminar
POLISCI 356A
Formal Theory I
PUBLPOL 50
Intermediate Microeconomics for Public Policy
Empirical Findings and Explanations
BIO 150
Human Behavioral Biology
ECON 178
Behavioral Economics
ECON 179
Experimental Economics
ECON 279
Behavioral and Experimental Economics II
EDUC 375A
Seminar on Organizational Theory
GSBGEN 646
Behavioral Economics and the Psychology of Decision Making
POLISCI 351B
Economic Analysis of Political Institutions
POLISCI 351C
Institutions and Bridge-Building in Political Economy
PSYCH 154
Judgment and Decision-Making
PSYCH 205
Foundations of Cognition
PSYCH 215
Mind, Culture, and Society
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
SOC 114
Economic Sociology
SOC 126
Introduction to Social Networks
SYMSYS 203
Cognitive Science Perspectives on Humanity and Well-Being
Methods and Applications - A course on methods that can be used to study decision making and rationality, or ways to apply research in decision sciences
BMDS 219
Mathematical Models and Medical Decisions
BMDS 237
Outcomes Analysis
CEE 206
Decision Analysis for Civil and Environmental Engineers
COMM 106
Communication Research Methods
COMM 124
Truth, Trust, and Tech
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
CS 239
Advanced Topics in Sequential Decision Making
CS 261
Combinatorial Optimization
CS 325B
Data for Sustainable Development
ECON 50
Economic Analysis I
ECON 102B
Applied Econometrics
ECON 102C
Advanced Topics in Econometrics
ECON 135
Foundations of Finance
ECON 136
Market Design
ECON 137
Decision Modeling and Information
ECON 150
Economic Policy Analysis
ECON 155
Climate change and global inequality
ENGR 62
Introduction to Optimization
MS&E 121
Introduction to Stochastic Modeling
MS&E 135
Networks
MS&E 152
Introduction to Decision Analysis
MS&E 175
Innovation, Creativity, and Change
MS&E 180
Organizations: Theory and Management
MS&E 250A
Reliability and Resilience of Engineered Systems
MS&E 250B
Project Course in Engineering Risk Analysis
MS&E 252
Foundations of Decision Analysis
MS&E 355
Influence Diagrams and Probabilistics Networks
PHIL 49
Survey of Formal Methods
POLISCI 153
Strategy: Introduction to Game Theory
PSYCH 10
Introduction to Statistical Methods: Precalculus
PSYCH 251
Experimental Methods
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 211
Meta-research: Appraising Research Findings, Bias, and Meta-analysis
STATS 217
Introduction to Stochastic Processes I
STATS 218
Introduction to Stochastic Processes II
STATS 263
Design of Experiments
STATS 310A
Theory of Probability I
STATS 310B
Theory of Probability II
STATS 310C
Theory of Probability III
SYMSYS 195B
Design for Behavior Change
SYMSYS 195D
Research in Digital Democracy
SYMSYS 201
Digital Technology, Society, and Democracy
URBANST 132
Concepts and Analytic Skills for the Social Sector
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
CS 239
Advanced Topics in Sequential Decision Making
CS 261
Combinatorial Optimization
CS 325B
Data for Sustainable Development
PHIL 184
Epistemology
PHIL 187
Philosophy of Action
PHIL 359
Logic Spring Seminar
PSYCH 154
Judgment and Decision-Making
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
SYMSYS 201
Digital Technology, Society, and Democracy
SYMSYS 203
Cognitive Science Perspectives on Humanity and Well-Being
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIO 102
Introduction to Neuroscience
BIO 145
Behavioral Ecology
BIOE 273
Biodesign for Digital Health
CEE 250
Product Management Fundamentals in the AI Era
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 130D
Dark Patterns
COMM 153B
Free Speech, Democracy and the Internet
COMM 230A
Digital Civil Society
CS 53N
How Can Generative AI Help Us Learn?
CS 106EA
Exploring Artificial Intelligence
CS 139
Human-Centered AI
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 224R
Deep Reinforcement Learning
CS 255
Introduction to Cryptography
CS 257
Introduction to Automated Reasoning
CS 293
Empowering Educators via Language Technology
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
EARTHSYS 137
Concepts and Analytic Skills for the Social Sector
ECON 151
Tackling Big Questions Using Social Data Science
EE 292J
Designing for Authenticity
ENGLISH 172
Reading Games and Playing Literature: Intro to Literary Game Studies
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ESS 224
Remote Sensing of Hydrology
FEMGEN 95
Feminist Games Studio
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 4B
Development and Epidemiology
HUMBIO 146
Culture and Madness: Anthropological and Psychiatric Approaches to Mental Illness
LAW 4053
Confronting Misinformation Online: Law and Policy
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
MS&E 265
Product Management Fundamentals for the Real Economy
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
OSPOXFRD 13
Know Thyself ! The Philosophy and Psychology of Self-Examination
OSPOXFRD 76
Access, Distinction and Material Culture through Coffee
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
PHIL 134A
Phenomenology: Animals
PHIL 167E
Philosophy of Evolutionary Biology
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYC 221
Machine Learning for Neuroimaging
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 147
Development in Early Childhood
PSYCH 156A
Narratives of Trauma and Recovery
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
See also the Symbolic Systems website opens in a new tab.
Human-Centered Artificial Intelligence Subplan
Digital Technology Ethics and Policy
A course that brings philosophical ethics and policy analysis to bear on the social implications of digital technology, across a broad range of domains.
CS 120
Introduction to AI Safety
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 281
Ethics of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
Human Impact
One course aimed at understanding how AI interacts with humans as well as with vital social structures and institutions
AFRICAAM 200N
Funkentelechy: Technologies, Social Justice and Black Vernacular Cultures
COMM 120W
The Rise of Digital Culture
COMM 124
Truth, Trust, and Tech
COMM 145
Personality and Digital Media
COMM 154
The Politics of Algorithms
COMM 172
Media Psychology
COMM 184
Race and Media
COMM 322
Advanced Studies in Behavior and Social Media
ENGLISH 106A
AI 360: What's Critical to Know about AI
MS&E 184
The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
NBIO 101
Social and Ethical Issues in the Neurosciences
STS 1
Introduction to Science, Technology & Society
SYMSYS 201
Digital Technology, Society, and Democracy
Augmenting Human Capabilities
One course aimed at developing new human-centered design methods and tools so that AI agents and applications are designed and created with the ability to communicate with, collaborate with, and augment people more effectively, and to make their work better and more enjoyable
BIOMEDIN 220
Artificial Intelligence in Healthcare
COMM 166
Virtual People
COMM 177B
Big Local Journalism: a project-based class
COMM 326
Advanced Topics in Human Virtual Representation
CS 147
Introduction to Human-Computer Interaction Design
CS 152
Trust and Safety
CS 184
Bridging Policy and Tech Through Design
CS 247A
Design for Artificial Intelligence
CS 247B
Design for Behavior Change
CS 247I
Design for Understanding
CS 247S
Service Design with AI
CS 278
Social Computing
CS 325B
Data for Sustainable Development
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
CS 448B
Data Visualization
ECON 136
Market Design
EDUC 486
Educational Neuroscience
EDUC 281
Technology for Learners
HUMBIO 151R
Biology, Health and Big Data
MUSIC 220C
Research Seminar in Computer-Generated Music
PSYC 124
Brain Plasticity
PSYC 223B
Topics in Neurodiversity: Design Thinking Approaches
PSYCH 24N
Neuroforecasting
PSYCH 290
Natural Language Processing in the Social Sciences
SYMSYS 245
Cognition in Interaction Design
Intelligence
One course aimed at developing machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales
CS 123
A Hands-On Introduction to Building AI-Enabled Robots
CS 124
From Languages to Information
CS 129
Applied Machine Learning
CS 131
Computer Vision: Foundations and Applications
CS 221
Artificial Intelligence: Principles and Techniques
CS 223A
Introduction to Robotics
CS 224N
Natural Language Processing with Deep Learning
CS 229
Machine Learning
CS 230
Deep Learning
CS 231N
Deep Learning for Computer Vision
LINGUIST 188
Natural Language Understanding
LINGUIST 285
Spoken Language Processing
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 166
Virtual People
COMM 172
Media Psychology
CS 206
Exploring Computational Journalism
CS 221
Artificial Intelligence: Principles and Techniques
CS 223A
Introduction to Robotics
CS 229
Machine Learning
CS 230
Deep Learning
CS 238
Decision Making under Uncertainty
CS 247I
Design for Understanding
CS 278
Social Computing
CS 325B
Data for Sustainable Development
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
EDUC 234
Curiosity in Artificial Intelligence
EDUC 486
Educational Neuroscience
EDUC 281
Technology for Learners
LINGUIST 180
From Languages to Information
LINGUIST 285
Spoken Language Processing
PHIL 167D
Philosophy of Neuroscience
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
PHIL 386
Qualitativism: Objects, Structure, and Ontology
PSYC 124
Brain Plasticity
PSYC 223B
Topics in Neurodiversity: Design Thinking Approaches
PSYCH 154
Judgment and Decision-Making
PSYCH 164
Brain decoding
PSYCH 169
Advanced Seminar on Memory
PSYCH 202
Cognitive Neuroscience
PSYCH 209
Neural Network Models of Cognition
PSYCH 232
Brain and Decision Making
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 257
Affective Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
STATS 315B
Modern Applied Statistics: Learning II
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 245
Cognition in Interaction Design
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If requirements 1-4 are fulfilled partly from courses taken for Core requirements, additional approved Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 165A
Intro to Art & Technology
BIO 102
Introduction to Neuroscience
BIOE 70Q
Medical Device Innovation
BIOE 122
BioSecurity and Pandemic Resilience
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
BUSGEN 100
Triple Bottom Line: Managing Sustainable Value Creation
CEE 250
Product Management Fundamentals in the AI Era
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 151
The First Amendment: Freedom of Speech and Press
COMM 153B
Free Speech, Democracy and the Internet
COMM 177T
Building News Applications
COMM 230A
Digital Civil Society
CS 53N
How Can Generative AI Help Us Learn?
CS 110
Principles of Computer Systems
CS 148
Introduction to Computer Graphics and Imaging
CS 153
Frontier Systems
CS 224G
Apps With LLMs Inside
CS 255
Introduction to Cryptography
CS 257
Introduction to Automated Reasoning
DESIGN 1
Introduction to Design
EARTHSYS 137
Concepts and Analytic Skills for the Social Sector
EARTHSYS 216A
Climate Perspectives: Climate Science, Impacts, Carbon Markets, Decarbonization Models and Projects
ECON 47
Media Markets and Social Good
EDUC 423A
Introduction to Education Data Science: Data Processing
EE 364A
Convex Optimization I
ENGLISH 90QN
Quantum Narratives:Writing Fiction about Science, Philosophy and Human Experience in the Quantum Age
ENGLISH 172
Reading Games and Playing Literature: Intro to Literary Game Studies
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
ESS 224
Remote Sensing of Hydrology
FEMGEN 95
Feminist Games Studio
FEMGEN 106Q
Gender and Media
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
HUMBIO 171E
Modern Ethical Challenges in Neuroscience and Organ Transplantation
INTLPOL 259
Research Topics in Technology and National Security
INTLPOL 268
Hack Lab: Introduction to Cybersecurity
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 265
Product Management Fundamentals for the Real Economy
MS&E 289
Ethics in Global Technology Design
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPOXFRD 44
Molecular Genetics Ethics and Practice
OSPOXFRD 84
The Promises and Perils of Social and Behavioral Genomics
PHIL 20N
Philosophy of Artificial Intelligence
PHIL 131
Introduction to Phenomenology
PHIL 134A
Phenomenology: Animals
PHIL 386P
Mental Action
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 125
Research Methods in Psychology
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 215
Mind, Culture, and Society
PSYCH 265
Social Psychology and Social Change
PSYCH 278
Psychology of the Climate Crisis
PUBLPOL 50
Intermediate Microeconomics for Public Policy
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 353A
Science and Technology Policy
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 217
Introduction to Stochastic Processes I
SURG 172
Anatomy and Design Innovations
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
See also the Symbolic Systems website opens in a new tab.
Human-Computer Interaction Subplan
Human-Computer Interaction Subplan Overview
Symbolic Systems majors must complete the following requirements in addition to the Core requirements to fulfill the Subplan in Human-Computer Interaction. All courses must be taken for three units or more.
Introduction to HCS
CS 147
Introduction to Human-Computer Interaction Design
Design Methods
Design Methods Overview
HCI Theory
Courses teaching design, behavioral, and critical theories that underlie the design process
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 120W
The Rise of Digital Culture
COMM 145
Personality and Digital Media
COMM 166
Virtual People
COMM 172
Media Psychology
COMM 322
Advanced Studies in Behavior and Social Media
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
CS 107
Computer Organization and Systems
CS 107E
Computer Systems from the Ground Up
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 206
Exploring Computational Journalism
CS 247I
Design for Understanding
CS 278
Social Computing
CS 347
Human-Computer Interaction: Foundations and Frontiers
CS 377E
Designing Solutions to Global Grand Challenges
CS 377G
Designing Serious Games
CS 377Q
Designing for Accessibility
CS 377U
Understanding Users
EDUC 230
Learning Experience Design
EDUC 281
Technology for Learners
EDUC 342
Child Development and New Technologies
EDUC 391
Engineering Education and Online Learning
ME 115B
Product Design Methods
SYMSYS 201
Digital Technology, Society, and Democracy
SYMSYS 245
Cognition in Interaction Design
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 130
Interactive Art: Making it with Arduino
ARTSINST 142
Drawing with Code
ARTSTUDI 165A
Intro to Art & Technology
ARTSTUDI 168
Data as Material
ARTSTUDI 169
Virtual Reality: the possibility and peril of immersive artwork
BIO 102
Introduction to Neuroscience
BIOE 70Q
Medical Device Innovation
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
CEE 250
Product Management Fundamentals in the AI Era
COMM 1
Introduction to Communication
COMM 1B
Media, Culture, and Society
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 106
Communication Research Methods
COMM 124
Truth, Trust, and Tech
COMM 151
The First Amendment: Freedom of Speech and Press
COMM 153B
Free Speech, Democracy and the Internet
COMM 154
The Politics of Algorithms
COMM 177T
Building News Applications
COMM 230A
Digital Civil Society
COMM 314
Ethnographic Methods
CS 53N
How Can Generative AI Help Us Learn?
CS 80Q
Race and Gender in Silicon Valley
CS 106EA
Exploring Artificial Intelligence
CS 110
Principles of Computer Systems
CS 121
Equity and Governance for Artificial Intelligence
CS 123
A Hands-On Introduction to Building AI-Enabled Robots
CS 139
Human-Centered AI
CS 148
Introduction to Computer Graphics and Imaging
CS 153
Frontier Systems
CS 224G
Apps With LLMs Inside
CS 224R
Deep Reinforcement Learning
CS 255
Introduction to Cryptography
CS 257
Introduction to Automated Reasoning
CS 293
Empowering Educators via Language Technology
CS 323
The AI Awakening: Implications for the Economy and Society
CS 329A
Self Improving AI Agents
CS 337
AI-Assisted Care
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
DATASCI 112
Principles of Data Science
DESIGN 1
Introduction to Design
DESIGN 284
Designing for Physical AI
ECON 47
Media Markets and Social Good
EE 364A
Convex Optimization I
ENGLISH 172
Reading Games and Playing Literature: Intro to Literary Game Studies
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 95
Feminist Games Studio
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 82A
Qualitative Research Methodology
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
INTLPOL 259
Research Topics in Technology and National Security
LAW 809E
Policy Practicum: AI For Legal Help
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
ME 203
Design and Manufacturing
ME 210
Introduction to Mechatronics
MED 147
Methods in Community Assessment, Evaluation, and Research
MED 275B
Biodesign Fundamentals
MS&E 125
Introduction to Applied Statistics
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 233
Game Theory, Data Science and AI
MS&E 289
Ethics in Global Technology Design
MUSIC 257
You Are What You Use: Designing Technology for Neural Change
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
POLISCI 150B
Machine Learning for Social Scientists
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYC 221
Machine Learning for Neuroimaging
PSYCH 10
Introduction to Statistical Methods: Precalculus
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 265
Social Psychology and Social Change
PSYCH 278
Psychology of the Climate Crisis
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 119
AI, Autonomy, and the Future of Warfare
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STS 1
Introduction to Science, Technology & Society
STATS 60
Introduction to Statistical Methods: Precalculus
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
STATS 203
Regression Models and Analysis of Variance
STATS 217
Introduction to Stochastic Processes I
STATS 263
Design of Experiments
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
See also the Symbolic Systems website opens in a new tab.
Learning Subplan
Learning Subplan Overview
Students in the Learning Subplan must complete four courses from areas 1-3 below, with at least one from each area, plus one course from area 4. If any of requirements 1-4 are fulfilled with courses taken for Core requirements, additional approved Contingent Elective courses (see area 5) must be completed to total five courses beyond those taken for the Core.
1. Computational Learning
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 221
Artificial Intelligence: Principles and Techniques
CS 224N
Natural Language Processing with Deep Learning
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 229M
Machine Learning Theory
CS 230
Deep Learning
CS 234
Reinforcement Learning
CS 236
Deep Generative Models
CS 325B
Data for Sustainable Development
EE 104
Introduction to Machine Learning
LINGUIST 180
From Languages to Information
PSYCH 209
Neural Network Models of Cognition
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
STATS 315A
Modern Applied Statistics: Learning
STATS 315B
Modern Applied Statistics: Learning II
2. Human Learning
EDUC 101
Introduction to Teaching and Learning
EDUC 115N
How to Learn Mathematics
EDUC 218
Topics in Cognition and Learning: Enhancing Human Cognition with AI
EDUC 486
Educational Neuroscience
EDUC 368
Cognitive Development in Childhood and Adolescence
EDUC 378
Social and Emotional Learning: Conceptual & Measurement Issues
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
PSYCH 60
Introduction to Developmental Psychology
PSYCH 169
Advanced Seminar on Memory
PSYCH 175
Developmental Science of Social Cognition
PSYCH 202
Cognitive Neuroscience
PSYCH 209
Neural Network Models of Cognition
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 251
Experimental Methods
PSYCH 265
Social Psychology and Social Change
PSYCH 266
Current Debates in Learning and Memory
3. Learning Environment Design
COMM 322
Advanced Studies in Behavior and Social Media
CS 147
Introduction to Human-Computer Interaction Design
CS 194H
User Interface Design Project
EDUC 230
Learning Experience Design
EDUC 281
Technology for Learners
EDUC 298
Seminar on Teaching Introductory Computer Science
EDUC 333A
Introduction to Learning Sciences: Understanding Learning and Learning Environments
EDUC 342
Child Development and New Technologies
EDUC 391
Engineering Education and Online Learning
MUSIC 257
You Are What You Use: Designing Technology for Neural Change
SYMSYS 245
Cognition in Interaction Design
4. Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 326
Advanced Topics in Human Virtual Representation
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 221
Artificial Intelligence: Principles and Techniques
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 229M
Machine Learning Theory
CS 230
Deep Learning
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 234
Reinforcement Learning
EDUC 261E
Curriculum and Instruction Elective in Data Science
EE 104
Introduction to Machine Learning
LINGUIST 180
From Languages to Information
PSYCH 209
Neural Network Models of Cognition
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 253
Multivariate Analysis, Measurement, and Study of Change in Social Science Research
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 245
Cognition in Interaction Design
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
5. Contingent Electives
If any requirements 1-3 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 165A
Intro to Art & Technology
BIO 83
Biochemistry & Molecular Biology
BIO 102
Introduction to Neuroscience
BIO 145
Behavioral Ecology
BIO 154
Advanced Neurobiology: Food, Sex, and Gaming
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BMDS 223
Deploying and Evaluating Fair AI in Healthcare
COMM 100C
Social Media Cultures: Communication Capstone Seminar
COMM 130D
Dark Patterns
COMM 151
The First Amendment: Freedom of Speech and Press
COMM 153B
Free Speech, Democracy and the Internet
COMM 177T
Building News Applications
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 148
Introduction to Computer Graphics and Imaging
CS 152
Trust and Safety
CS 257
Introduction to Automated Reasoning
CS 323
The AI Awakening: Implications for the Economy and Society
CS 329X
Human Centered NLP
CS 337
AI-Assisted Care
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
DESIGN 1
Introduction to Design
DESIGN 284
Designing for Physical AI
EARTHSYS 137
Concepts and Analytic Skills for the Social Sector
ECON 47
Media Markets and Social Good
EE 292J
Designing for Authenticity
EE 374
Fundamentals of Blockchain Infrastructure
ENGLISH 172
Reading Games and Playing Literature: Intro to Literary Game Studies
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 146
Culture and Madness: Anthropological and Psychiatric Approaches to Mental Illness
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
HUMBIO 171E
Modern Ethical Challenges in Neuroscience and Organ Transplantation
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
LAW 4053
Confronting Misinformation Online: Law and Policy
LINGUIST 1
Introduction to Linguistics
LINGUIST 154
Language, Race, and Ethnicity
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 233
Game Theory, Data Science and AI
MS&E 265
Product Management Fundamentals for the Real Economy
MS&E 289
Ethics in Global Technology Design
MUSIC 168
Neuroscience and Psychology of Music: From Practice to Peak Performance
MUSIC 251
Psychophysics and Music Cognition
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 13
Know Thyself ! The Philosophy and Psychology of Self-Examination
OSPOXFRD 84
The Promises and Perils of Social and Behavioral Genomics
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 134A
Phenomenology: Animals
PHIL 167E
Philosophy of Evolutionary Biology
PSYC 17N
Think Before You Drink: Neurocircuitry of Alcohol Use Across the Developmental Lifespan
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYC 221
Machine Learning for Neuroimaging
PSYCH 10
Introduction to Statistical Methods: Precalculus
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 118F
Literature and the Brain
PSYCH 125
Research Methods in Psychology
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 168
Emotion Regulation
PSYCH 215
Mind, Culture, and Society
PSYCH 278
Psychology of the Climate Crisis
PSYCH 285A
How Can We Enforce Good Norms in Inclusive Ways?
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 60
Introduction to Statistical Methods: Precalculus
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 217
Introduction to Stochastic Processes I
SURG 172
Anatomy and Design Innovations
SYMSYS 104
Introduction to Race and Technology
SYMSYS 168A
AI 360: What's Critical to Know about AI
SYMSYS 176S
Studying Stanford: Governance, Culture, and Innovation
OSPGEN 47
Governance, Culture, and Innovation in Oxford
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
See also the Symbolic Systems website opens in a new tab.
Mathematical Foundations Subplan
Multivariate Calculus and Linear Algebra
Multivariate Calculus and Linear Algebra Two-Course Set Options
Applied Mathematics and Statistics
CME 107
Introduction to Machine Learning
CME 263
Matrix Methods: Singular Value Decomposition
CS 229M
Machine Learning Theory
EE 263
Matrix Methods: Singular Value Decomposition
EE 276
Information Theory
MATH 108
Introduction to Combinatorics and Its Applications
MATH 110
Number Theory for Cryptography
MATH 136
Stochastic Processes
MATH 158
Probability and Stochastic Differential Equations for Applications
MATH 159
Discrete Probabilistic Methods
MS&E 111
Introduction to Optimization
MS&E 111X
Introduction to Optimization (Accelerated)
MS&E 121
Introduction to Stochastic Modeling
MS&E 221
Stochastic Modeling
STATS 110
Introduction to Statistics for Engineering and the Sciences
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
STATS 217
Introduction to Stochastic Processes I
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Standard Specific
CS 129
Applied Machine Learning
CS 151
Logic Programming
CS 154
Introduction to the Theory of Computation
CS 157
Computational Logic
CS 161
Design and Analysis of Algorithms
CS 163
The Practice of Theory Research
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 224W
Machine Learning with Graphs
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 229M
Machine Learning Theory
CS 230
Deep Learning
CS 246
Mining Massive Data Sets
CS 254
Computational Complexity
CS 255
Introduction to Cryptography
CS 259Q
Quantum Computing
CS 325B
Data for Sustainable Development
ECON 160
Game Theory and Economic Applications
ECON 178
Behavioral Economics
ECON 180
Accelerated Game Theory
MATH 114
Introduction to Scientific Computing
MS&E 252
Foundations of Decision Analysis
PHIL 151
Metalogic
PHIL 152
Computability and Logic
PHIL 154
Modal Logic
PHIL 155
Topics in Mathematical Logic: Non-Classical Logic
PHIL 162
Philosophy of Mathematics
PHIL 359
Logic Spring Seminar
PSYCH 154
Judgment and Decision-Making
PSYCH 204B
Computational Neuroimaging: Data Analyses
PSYCH 209
Neural Network Models of Cognition
PSYCH 232
Brain and Decision Making
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
SOC 154
The Politics of Algorithms
STATS 220
Machine Learning Methods for Neural Data Analysis
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-3 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 224R
Deep Reinforcement Learning
CS 250
Algebraic Error Correcting Codes
CS 254B
Computational Complexity II
CS 263
Counting and Sampling
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
EE 377
Information Theory and Statistics
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 147
Feminism and Technology
GEOPHYS 128
Modeling Earth
GLOBAL 124
Global Algorithmic Development and Ethics
LINGUIST 1
Introduction to Linguistics
MATH 56
Proofs and Modern Mathematics
MATH 107
Graph Theory
MATH 115
Functions of a Real Variable
MATH 120
Groups and Rings
MATH 144
Introduction to Topology and Geometry
MATH 152
Elementary Theory of Numbers
MATH 171
Fundamental Concepts of Analysis
MATSCI 82N
Science of the Impossible
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 3N
Randomness: Computational and Philosophical Approaches
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
SOC 127
Data Science for Social Impact
STATS 203
Regression Models and Analysis of Variance
STATS 206
Applied Multivariate Analysis
STATS 217
Introduction to Stochastic Processes I
STATS 218
Introduction to Stochastic Processes II
STATS 221
Random Processes on Graphs and Lattices
SYMSYS 104
Introduction to Race and Technology
See also the Symbolic Systems website opens in a new tab.
Media & Communication Subplan
Introduction
COMM 1
Introduction to Communication
Statistical and Data Analysis Methods
ANTHRO 116
Data Analysis for Quantitative Research
CS 229
Machine Learning
MS&E 125
Introduction to Applied Statistics
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
SOC 180B
Introduction to Data Analysis
STATS 60
Introduction to Statistical Methods: Precalculus
STATS 110
Introduction to Statistics for Engineering and the Sciences
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 202
Statistical Learning and Data Science
Research Methods
A course on empirical and computational methods that are commonly used for research on media and communication
COMM 106
Communication Research Methods
CS 142
Web Applications
CS 147
Introduction to Human-Computer Interaction Design
CS 347
Human-Computer Interaction: Foundations and Frontiers
CS 448B
Data Visualization
EDUC 200B
Introduction to Qualitative Research Methods
HUMBIO 82A
Qualitative Research Methodology
MS&E 135
Networks
MS&E 348
Optimization of Uncertainty and Applications in Finance
PHIL 60
Introduction to Philosophy of Science
POLISCI 150A
Data Science for Politics
POLISCI 150C
Causal Inference for Social Science
PSYCH 251
Experimental Methods
SOC 10
Introduction to Computational Social Science
SOC 180A
Foundations of Social Research
SOC 194
Computational Undergraduate Research
SOC 369
Social Network Methods
STATS 211
Meta-research: Appraising Research Findings, Bias, and Meta-analysis
STS 191W
Doing STS: Introduction to Research
Effects, Ethics, and Policy
A course on the effects of, and possible responses to, digital technology, media, and communication
AFRICAAM 200N
Funkentelechy: Technologies, Social Justice and Black Vernacular Cultures
COMM 1B
Media, Culture, and Society
COMM 108
Media Processes and Effects
COMM 120W
The Rise of Digital Culture
COMM 124
Truth, Trust, and Tech
COMM 125
Perspectives on American Journalism
COMM 135W
Deliberative Democracy and its Critics
COMM 145
Personality and Digital Media
COMM 153B
Free Speech, Democracy and the Internet
COMM 154
The Politics of Algorithms
COMM 162
Campaigns, Voting, Media, and Elections
COMM 164
The Psychology of Communication About Politics in America
COMM 166
Virtual People
COMM 172
Media Psychology
COMM 180
Ethics, Public Policy, and Technological Change
COMM 184
Race and Media
COMM 186W
Media, Technology, and the Body
COMM 230A
Digital Civil Society
COMM 322
Advanced Studies in Behavior and Social Media
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
ECON 46
Networks and Human Behavior
ECON 47
Media Markets and Social Good
ENGLISH 106A
AI 360: What's Critical to Know about AI
LINGUIST 156
Language, Gender, & Sexuality
MS&E 135
Networks
MS&E 184
The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
NBIO 101
Social and Ethical Issues in the Neurosciences
POLISCI 223A
Public Opinion and American Democracy
POLISCI 227C
Money in Politics
PSYC 86Q
Psychology of Xenophobia
PSYCH 103
Intergroup Communication
SOC 31N
Social Networks
SOC 126
Introduction to Social Networks
STS 1
Introduction to Science, Technology & Society
SYMSYS 201
Digital Technology, Society, and Democracy
Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 1 - Subplan Specific
COMM 164
The Psychology of Communication About Politics in America
COMM 166
Virtual People
COMM 172
Media Psychology
COMM 176
Advanced Digital Journalism Production
COMM 177B
Big Local Journalism: a project-based class
COMM 177T
Building News Applications
COMM 322
Advanced Studies in Behavior and Social Media
COMM 324
Language and Technology
COMM 326
Advanced Topics in Human Virtual Representation
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
CS 206
Exploring Computational Journalism
CS 224W
Machine Learning with Graphs
CS 278
Social Computing
LINGUIST 134A
The Structure of Discourse: Theory and Applications
LINGUIST 150
Language and Society
SOC 154
The Politics of Algorithms
SYMSYS 201
Digital Technology, Society, and Democracy
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ARTSTUDI 165A
Intro to Art & Technology
BIO 102
Introduction to Neuroscience
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
BUSGEN 100
Triple Bottom Line: Managing Sustainable Value Creation
CS 53N
How Can Generative AI Help Us Learn?
CS 106EA
Exploring Artificial Intelligence
CS 139
Human-Centered AI
CS 148
Introduction to Computer Graphics and Imaging
CS 153
Frontier Systems
CS 224R
Deep Reinforcement Learning
CS 257
Introduction to Automated Reasoning
CS 293
Empowering Educators via Language Technology
CS 329X
Human Centered NLP
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
EARTHSYS 137
Concepts and Analytic Skills for the Social Sector
EDUC 423A
Introduction to Education Data Science: Data Processing
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 364A
Convex Optimization I
EE 374
Fundamentals of Blockchain Infrastructure
ENGLISH 172
Reading Games and Playing Literature: Intro to Literary Game Studies
ENGLISH 384B
Literary Modeling
ETHICSOC 125
Tech Ethics and the Future of Human Values
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 82B
Advanced Data Analysis in Qualitative Research
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
INTLPOL 259
Research Topics in Technology and National Security
LAW 809E
Policy Practicum: AI For Legal Help
LINGUIST 1
Introduction to Linguistics
LINGUIST 54N
Social Bias and Earwitness Memory
LINGUIST 154
Language, Race, and Ethnicity
LINGUIST 234
The Structure of Discourse: Theory and Applications
LINGUIST 258
Analysis of Variation
LINGUIST 285
Spoken Language Processing
LINGUIST 278
Programming for Linguists
MATSCI 82N
Science of the Impossible
MS&E 233
Game Theory, Data Science and AI
MS&E 265
Product Management Fundamentals for the Real Economy
MS&E 289
Ethics in Global Technology Design
OSPHONGK 46
Fundamentals of Artificial Intelligence
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 147
Development in Early Childhood
PSYCH 155
Introduction to Comparative Studies in Race and Ethnicity
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 215
Mind, Culture, and Society
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 238
Wise Interventions
PSYCH 241
Language Acquisition
PSYCH 265
Social Psychology and Social Change
PUBLPOL 50
Intermediate Microeconomics for Public Policy
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 119
AI, Autonomy, and the Future of Warfare
SOC 127
Data Science for Social Impact
STATS 203
Regression Models and Analysis of Variance
STATS 217
Introduction to Stochastic Processes I
SURG 172
Anatomy and Design Innovations
SYMSYS 104
Introduction to Race and Technology
SYMSYS 210
Governance Design: Real, Virtual, and Imaginary Worlds
See also the Symbolic Systems Website opens in a new tab.
Natural Language Subplan
Natural Language Subplan Overview
Students in the Natural Language Subplan must take four courses from at least three of areas 1-7, plus a course from area 8. If any of requirements 1-7 are fulfilled with courses taken for Core requirements, additional approved Contingent Elective courses (see area 9) must be completed to total five courses beyond those taken for the Core.
1. Mathematical/Computational Foundations
CS 154
Introduction to the Theory of Computation
CS 221
Artificial Intelligence: Principles and Techniques
CS 229
Machine Learning
PHIL 154
Modal Logic
PSYCH 209
Neural Network Models of Cognition
PSYCH 251
Experimental Methods
PSYCH 257
Affective Neuroscience
2. Computational Linguistics
3. Phonetics/Phonology/Speech
LINGUIST 105
Phonetics
LINGUIST 110
Introduction to Phonology
LINGUIST 157
Sociophonetics
LINGUIST 207A
Advanced Phonetics: Theory
LINGUIST 210A
Phonology
4. Morphosyntax
LINGUIST 121A
The Syntax of English
LINGUIST 121B
Crosslinguistic Syntax
LINGUIST 217
Morphosyntax
LINGUIST 222A
Foundations of Syntactic Theory I
5. Semantics/Pragmatics/Philosophy of Language
LINGUIST 130A
Introduction to Semantics and Pragmatics
LINGUIST 130B
Introduction to Lexical Semantics
LINGUIST 132
Lexical Semantic Typology
LINGUIST 230B
Advanced Semantics
LINGUIST 230C
Advanced Topics in Semantics & Pragmatics
LINGUIST 232A
Lexical Semantics
PHIL 137
Wittgenstein
PHIL 181
Philosophy of Language
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
6. Psycholinguistics
LINGUIST 245B
Methods in Psycholinguistics
PSYCH 132
Language and Thought
PSYCH 140
Introduction to Psycholinguistics
PSYCH 209
Neural Network Models of Cognition
7. Sociolinguistics and Language Change
LINGUIST 150
Language and Society
LINGUIST 156
Language, Gender, & Sexuality
LINGUIST 157
Sociophonetics
8. Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
COMM 324
Language and Technology
CS 221
Artificial Intelligence: Principles and Techniques
LINGUIST 180
From Languages to Information
PHIL 137
Wittgenstein
PHIL 181
Philosophy of Language
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 359
Logic Spring Seminar
PSYCH 209
Neural Network Models of Cognition
PSYCH 247
Topics in Natural and Artificial Intelligence
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options to be added as they are approved — some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
9. Contingent Electives
If any requirements 1-7 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIO 102
Introduction to Neuroscience
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
CEE 250
Product Management Fundamentals in the AI Era
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 152
Trust and Safety
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 224R
Deep Reinforcement Learning
CS 257
Introduction to Automated Reasoning
CS 323
The AI Awakening: Implications for the Economy and Society
CS 329A
Self Improving AI Agents
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
DATASCI 112
Principles of Data Science
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 292J
Designing for Authenticity
EE 374
Fundamentals of Blockchain Infrastructure
ENGLISH 384B
Literary Modeling
ENGR 140A
Leadership of Technology Ventures
ENGR 145
Technology Entrepreneurship
ENGR 148
Principled Entrepreneurial Decisions
ENGR 245
The Lean LaunchPad: Getting Your Lean Startup Off the Ground
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
INTLPOL 259
Research Topics in Technology and National Security
LINGUIST 1
Introduction to Linguistics
LINGUIST 278
Programming for Linguists
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
MS&E 135
Networks
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 233
Game Theory, Data Science and AI
MS&E 265
Product Management Fundamentals for the Real Economy
MUSIC 451A
Basics in Auditory and Music Neuroscience
NBIO 220
Machine Learning Methods for Neural Data Analysis
OSPCPTWN 67
Beyond Silicon Valley: Technology and Development in the Global South
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 158
Philosophy of Logic
PHIL 167E
Philosophy of Evolutionary Biology
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 10
Introduction to Statistical Methods: Precalculus
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 125
Research Methods in Psychology
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 147
Development in Early Childhood
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
See also the Symbolic Systems website opens in a new tab.
Neurosciences Subplan
Neurosciences Subplan Overview
Students in the Neurosciences Subplan must take a total of five courses. At least two of the five courses must be from the first two areas, and at least one must come from area 7. If any courses listed under areas 1-6 are taken for Core requirements, additional approved Contingent Elective courses (see area 8) must be completed to total five courses beyond those taken for the Core. Area 9 (Recommended Add-ons) consists of one- and two-unit courses that supplement areas 1-8. Add-on courses do not count toward the five-course requirement for the Subplan.
1. Basic Neuroscience
Note: NBIO 206 is a six-unit course, which counts as two concentration courses, from areas 1 and 2.
2. Systems Neuroscience
BIO 222
Exploring Neural Circuits
EDUC 486
Educational Neuroscience
PSYC 124
Brain Plasticity
PSYCH 30
Introduction to Perception
PSYCH 45
Introduction to Learning and Memory
PSYCH 50
Introduction to Cognitive Neuroscience
PSYCH 169
Advanced Seminar on Memory
PSYCH 232
Brain and Decision Making
PSYCH 257
Affective Neuroscience
PSYCH 266
Current Debates in Learning and Memory
3. Computational Approaches
BIOE 101
Systems Biology
BIOE 300B
Quantitative Physiology
CS 223A
Introduction to Robotics
CS 229
Machine Learning
EE 124
Introduction to Neuroelectrical Engineering
MATSCI 384
Materials Advances in Neurotechnology
MUSIC 257
You Are What You Use: Designing Technology for Neural Change
PSYCH 164
Brain decoding
PSYCH 204A
Human Neuroimaging Methods
PSYCH 204B
Computational Neuroimaging: Data Analyses
PSYCH 209
Neural Network Models of Cognition
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
4. Biological and Computational Approaches to Vision
CS 131
Computer Vision: Foundations and Applications
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 231N
Deep Learning for Computer Vision
PSYCH 30
Introduction to Perception
PSYCH 221
Image Systems Engineering
PSYCH 250
High-level Vision: From Neurons to Deep Neural Networks
5. Philosophical and Theoretical Approaches
NBIO 101
Social and Ethical Issues in the Neurosciences
PHIL 167D
Philosophy of Neuroscience
PHIL 186
Philosophy of Mind
PHIL 368A
Explanation in Neuroscience
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
SYMSYS 207
Conceptual Issues in Cognitive Science
6. Methodological Foundations
BIOE 291
Principles and Practice of Optogenetics for Optical Control of Biological Tissues
CS 205L
Continuous Mathematical Methods with an Emphasis on Machine Learning
CS 448B
Data Visualization
EE 102A
Signals and Systems I
EE 102B
Signals and Systems II
EE 261
The Fourier Transform and Its Applications
EE 263
Matrix Methods: Singular Value Decomposition
MATH 113
Linear Algebra and Matrix Theory
MS&E 211
Introduction to Optimization
PSYCH 10
Introduction to Statistical Methods: Precalculus
PSYCH 204A
Human Neuroimaging Methods
PSYCH 251
Experimental Methods
PSYCH 252
Statistical Methods for Behavioral and Social Sciences
STATS 110
Introduction to Statistics for Engineering and the Sciences
STATS 141
Introduction to Statistics for Biology
STATS 191
Introduction to Applied Statistics
STATS 200
Introduction to Theoretical Statistics
7. Integrative Requirement.
Must be completed no earlier than the Junior Year.
Option 1 - Standard
Option 2 - Subplan Specific
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 3D Perception to 3D Reconstruction and Beyond
CS 234
Reinforcement Learning
PHIL 167D
Philosophy of Neuroscience
PHIL 368A
Explanation in Neuroscience
PSYC 223B
Topics in Neurodiversity: Design Thinking Approaches
PSYCH 164
Brain decoding
PSYCH 169
Advanced Seminar on Memory
PSYCH 202
Cognitive Neuroscience
PSYCH 204A
Human Neuroimaging Methods
PSYCH 204B
Computational Neuroimaging: Data Analyses
PSYCH 209
Neural Network Models of Cognition
PSYCH 232
Brain and Decision Making
PSYCH 242
A modern explainable AI approach to Theoretical Neuroscience
PSYCH 247
Topics in Natural and Artificial Intelligence
PSYCH 249
Large-Scale Neural Network Modeling for Neuroscience
PSYCH 257
Affective Neuroscience
STATS 220
Machine Learning Methods for Neural Data Analysis
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
SYMSYS 245
Cognition in Interaction Design
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved -- some options may be removed if they are included in the list of SYMSYS 195* project courses to avoid redundancy with the Standard Options.
8. Contingent Electives
If any courses listed under areas 1-6 are taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those that are taken for the Core. These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
BIO 2N
Ecology and Evolution of Infectious Disease in a Changing World
BIO 4N
The Science and Ethics of Personalized Genomic Medicine
BIO 83
Biochemistry & Molecular Biology
BIO 86
Cell Biology
BIO 145
Behavioral Ecology
BIOE 70Q
Medical Device Innovation
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
BIOE 376
Startup Garage: Design
BIOE 377
Startup Garage: Testing and Launch
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 224R
Deep Reinforcement Learning
CS 257
Introduction to Automated Reasoning
CS 279
Computational Biology: Structure and Organization of Biomolecules and Cells
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
CS 337
AI-Assisted Care
CS 372
Artificial General Intelligence for Reasoning, Planning, and Decision Making
DATASCI 112
Principles of Data Science
EDUC 482
Design to Equip Learners in Under-Resourced Communities
EE 374
Fundamentals of Blockchain Infrastructure
ENGR 50M
Introduction to Materials Science, Biomaterials Emphasis
ETHICSOC 125
Tech Ethics and the Future of Human Values
FEMGEN 106Q
Gender and Media
FEMGEN 147
Feminism and Technology
GENE 231
AI and Vibecoding for healthcare
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 2A
Genetics, Molecular Biology and Evolution
HUMBIO 3A
Cell and Developmental Biology
HUMBIO 4B
Development and Epidemiology
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
LINGUIST 1
Introduction to Linguistics
MATH 108
Introduction to Combinatorics and Its Applications
MATSCI 82N
Science of the Impossible
ME 234
Introduction to Neuromechanics
MS&E 135
Networks
MS&E 233
Game Theory, Data Science and AI
MUSIC 168
Neuroscience and Psychology of Music: From Practice to Peak Performance
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 44
Molecular Genetics Ethics and Practice
OSPOXFRD 84
The Promises and Perils of Social and Behavioral Genomics
OSPOXFRD 85
Practical Ethics for Artificial Intelligence
PHIL 386P
Mental Action
PSYC 17N
Think Before You Drink: Neurocircuitry of Alcohol Use Across the Developmental Lifespan
PSYC 60N
The Psychology of Stoked
PSYC 63Q
Artificial Intelligence in Mental Health
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 80
Introduction to Personality and Affective Science
PSYCH 90
Introduction to Clinical Psychology: A Neuroscience Perspective
PSYCH 95
Introduction to Abnormal Psychology
PSYCH 118F
Literature and the Brain
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 146
Observation of Children
PSYCH 147
Development in Early Childhood
PSYCH 156A
Narratives of Trauma and Recovery
PSYCH 168
Emotion Regulation
PSYCH 238
Wise Interventions
PSYCH 278
Psychology of the Climate Crisis
PUBLPOL 103F
Ethics of Truth in a Post-Truth World
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
See also the Symbolic Systems website opens in a new tab.
Philosophical Foundations Subplan
Philosophy of Mind and Language
PHIL 180
Metaphysics
PHIL 181
Philosophy of Language
PHIL 181A
Philosophy of Language
PHIL 181B
Topics in Philosophy of Language
PHIL 181C
Linguistic Justice
PHIL 181E
External World Skepticism
PHIL 182D
Ethical Anti-theory
PHIL 182H
Truth
PHIL 182J
Theories of Consciousness
PHIL 184
Epistemology
PHIL 184B
Formal Epistemology
PHIL 184D
Collective Epistemology and Shared Inquiry
PHIL 184P
Philosophy of Probability
PHIL 185J
The Philosophy and Science of Perception
PHIL 186
Philosophy of Mind
PHIL 187
Philosophy of Action
PHIL 187B
Responsibility and the Criminal Law
PHIL 188A
Explanation
PHIL 188B
Undergrad Seminar: Striving and the Nature of Belief
PHIL 189
Reduction and Grounding
Ethics, Historical, and Political Philosophy
Courses must be numbered 100 or above
Philosophy of Science
PHIL 20N
Philosophy of Artificial Intelligence
PHIL 162
Philosophy of Mathematics
PHIL 165
Philosophy of Physics: Space, Time and Motion
PHIL 167D
Philosophy of Neuroscience
SYMSYS 207
Conceptual Issues in Cognitive Science
Integrative Requirement.
Option 1 - Standard
Option 2 - Subplan Specific
CS 181
Computers, Ethics, and Public Policy
CS 182
Ethics, Public Policy, and Technological Change
NBIO 101
Social and Ethical Issues in the Neurosciences
PHIL 134A
Phenomenology: Animals
PHIL 162
Philosophy of Mathematics
PHIL 167D
Philosophy of Neuroscience
PHIL 194D
Capstone Seminar: How Virtual is Reality, and Vice Versa
PHIL 194Y
Capstone seminar: Metaphilosophy
PHIL 359
Logic Spring Seminar
PHIL 368A
Explanation in Neuroscience
SYMSYS 202
Theories of Consciousness
SYMSYS 205
The Philosophy and Science of Perception
SYMSYS 207
Conceptual Issues in Cognitive Science
A Subplan-Specific Integrative Course: A course that integrates the themes of the Subplan with the Core requirements. More options are to be added as they are approved — some options may be removed if they are included in the SYMSYS 195* project courses list to avoid redundancy with the Standard Options.
Must be completed no earlier than the Junior Year.
Contingent Electives
If any requirements 1-4 are fulfilled with courses taken for Core requirements, then additional approved Contingent Elective courses must be completed to total five courses beyond those taken for the Core: These electives can be one or more courses from any of the areas above, or which are approved for a Core requirement that the student has fulfilled with a different course, or any of the following:
ANTHRO 348C
Phenomenology: The Feel of Lived Experience
BIO 102
Introduction to Neuroscience
BIOE 177
Inventing the Future
BIOE 273
Biodesign for Digital Health
COMM 151
The First Amendment: Freedom of Speech and Press
COMM 153B
Free Speech, Democracy and the Internet
CS 106EA
Exploring Artificial Intelligence
CS 121
Equity and Governance for Artificial Intelligence
CS 139
Human-Centered AI
CS 224R
Deep Reinforcement Learning
CS 257
Introduction to Automated Reasoning
CS 329A
Self Improving AI Agents
CS 329X
Human Centered NLP
ECON 47
Media Markets and Social Good
EE 292J
Designing for Authenticity
EE 374
Fundamentals of Blockchain Infrastructure
FEMGEN 147
Feminism and Technology
GLOBAL 124
Global Algorithmic Development and Ethics
HUMBIO 146
Culture and Madness: Anthropological and Psychiatric Approaches to Mental Illness
HUMBIO 166
Food and Society: Exploring Eating Behaviors in Social, Environmental, and Policy Context
HUMBIO 171E
Modern Ethical Challenges in Neuroscience and Organ Transplantation
INTLPOL 245B
Governing Artificial Intelligence: Law, Policy, and Institutions
LAW 809E
Policy Practicum: AI For Legal Help
LAW 4053
Confronting Misinformation Online: Law and Policy
LINGUIST 1
Introduction to Linguistics
MATSCI 82N
Science of the Impossible
MS&E 226
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 289
Ethics in Global Technology Design
OSPHONGK 46
Fundamentals of Artificial Intelligence
OSPOXFRD 13
Know Thyself ! The Philosophy and Psychology of Self-Examination
OTOHNS 206
Augmenting Human Senses: Enhancing Perception with Technology and Bioscience
PHIL 131
Introduction to Phenomenology
PHIL 386P
Mental Action
PSYC 60N
The Psychology of Stoked
PSYC 135
Dement's Sleep and Dreams
PSYCH 12N
Self Theories
PSYCH 24N
Neuroforecasting
PSYCH 125
Research Methods in Psychology
PSYCH 131A
How to Think Like a Shrink
PSYCH 144
The Sociocultural Shaping of Psychological Experience
PSYCH 168
Emotion Regulation
PSYCH 215
Mind, Culture, and Society
PSYCH 220A
Probabilistic models of cognition: Reasoning and Learning
PSYCH 278
Psychology of the Climate Crisis
PUBLPOL 134
Ethics on the Edge: Business, Non-Profit Organizations, Government, and Individuals
PUBLPOL 353A
Science and Technology Policy
PUBLPOL 353B
Regulating Emerging Technology: Risks, Opportunities, and Reality
SOC 127
Data Science for Social Impact
STATS 217
Introduction to Stochastic Processes I
SYMSYS 104
Introduction to Race and Technology
See also the Symbolic Systems website opens in a new tab.
Individually Designed Subplan
Individually Designed Concentrations (IDCs)
(Concentrations referred to as Subplans within Bulletin and Degree Guide)
Individually Designed Concentrations (IDCs) consist of five courses in a coherent subject area related to symbolic systems. This relationship may be established through inclusion in an IDC of two or more courses that connect the proposed concentration to the core, i.e., courses that (a) directly apply disciplines included in the core and (b) are related by topic or methodology to the other courses in the proposed concentration.
Course selection is to be made in consultation with the student’s advisor and is subject to approval by the advisor, the Associate Director, and the Director. For examples of IDCs completed by past SSP students, consult the alumni list and apply the filter “Individually Designed Concentration.”
Approval of an IDC must take place no less than two full quarters before a student plans to graduate, e.g., before the first day of winter quarter of the senior year if a student intends to graduate in June of that year. Failure to obtain approval by the required date will necessitate either completing the requirements for one of the suggested concentrations or delaying graduation to the end of the second full quarter following approval of an IDC.
To get a proposed IDC approved, send an email message to symsys-directors at lists.stanford.edu, cc’d to your prospective concentration advisor, stating that the advisor has approved your proposal and giving a title, one-paragraph description, and course plan for your proposed concentration.
Honors
OptionalHonors
Honors Program Requirements
Seniors in SSP may apply for admission to the Symbolic Systems honors program before their final year of study begins. Students who are accepted into the honors program can graduate with honors by completing an honors thesis under the supervision of a faculty member. Course credit for the honors project may be obtained by registering for SYMSYS 190 Senior Honors Tutorial any quarter while a student works on an honors project. SYMSYS 191 Senior Honors Seminar is recommended for honors students during their senior year. Contact SSP or visit the program’s website for more information on the honors program, including deadlines and policies.
In order to be considered for Honors, students must:
Be a junior or senior
Be in good academic standing, with at least a 3.0 GPA
Submit an acceptable honors project proposal
For more information, visit the Symbolic Systems website opens in a new tab.

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