The Symbolic Systems Program (SSP) at Stanford University focuses on computers and minds: artificial and natural systems that use symbols to communicate, and to represent information. SSP brings together students and faculty interested in different aspects of the human-computer relationship, including...
- cognitive science: studying human intelligence, natural languages, and the brain as computational processes;
- artificial intelligence: endowing computers with human-like behavior and understanding; and
- human-computer interaction: designing computer software and interfaces that work well with human users.
Symbolic Systems' affiliated faculty come from several
departments at Stanford, including Computer Science, Linguistics,
and Education. Our students
are exposed to the tools of these disciplines -- formal
methods, philosophical analysis, computer programming,
and empirical research -- with the aim of being able to
apply the appropriate tool(s) to a chosen area of
specialization. SSP alumni are found in various
occupations, including software design and applications,
teaching and research, law, medicine, and public
Students: Check out the Symbolic Systems Society. The Society is a student-led group for SymSys students and those interested in symbolic systems. The Society hosts many events for students, including symposia, coffee chats, special dinners, field trips, and student-alum and student-faculty dinners.
What's New in Symbolic Systems?
If you are a Stanford graduate student eligible for graduate assistantships, you can apply to be a teaching assistant for SYMSYS 1 ("Minds and Machines"), our intro course for undergraduates. Applications are due October 22nd. The course will be taught in the Winter Quarter, 2019.
Office hours are designated times when Stanford students are invited to consult with Symbolic Systems Advising Fellows and Program Administrators. If you are viewing this in the newsroll, click "Full Article" to see the complete list of office hours. Watch here for updates.
- Sandhini Agarwal ('19, Learning), AF, Office ...