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11 - 20 of 24 results for: SYMSYS

SYMSYS 195S: Service Design (CS 247S)

A project-based course that builds on the introduction to design in CS147 by focusing on advanced methods and tools for research, prototyping, and user interface design. Studio based format with intensive coaching and iteration to prepare students for tackling real world design problems. This course takes place entirely in studios; you must plan on attending every studio to take this class. The focus of CS247S is Service Design. In this course we will be looking at experiences that address the needs of multiple types of stakeholders at different touchpoints - digital, physical, and everything in between. If you have ever taken an Uber, participated in the Draw, engaged with your bank, or ordered a coffee through the Starbucks app, you have experienced a service that must have a coordinated experience for the customer, the service provider, and any other stakeholders involved. Let us explore what specialized tools and processes are required to created these multi-faceted interactions. Prerequisites: CS147 or equivalent background in design thinking. In the event of a waitlist, acceptance to class based on an application provided on the first day of class.
Terms: Win | Units: 3-4

SYMSYS 196: Independent Study

Independent work under the supervision of a faculty member. Can be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

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

(Formerly SYMSYS 100). An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Students must take this course before being approved to declare Symbolic Systems as a major. All students interested in studying Symbolic Systems are urged to take this course early in their student careers. The course material and presentation will be at an introductory level, without prerequisites. If you have any questions about the course, please email symsys1staff@gmail.com.
Terms: Aut, Win, Sum | Units: 4

SYMSYS 202: Theories of Consciousness (PHIL 182J)

Are fish conscious? Are fetuses? Could we build a conscious computer? Much of the philosophical work on consciousness has focused on whether consciousness is wholly physical, but that question is orthogonal to the more specific questions about consciousness that most of us really care about. To answer those questions, we need a theory of how consciousness works in our world. Philosophers and scientists have put forward a spectrum of different candidates, from very abstract, philosophical theories through theories more informed by cognitive psychology down to neural and even quantum theories. In this seminar, students will learn about the major theories of consciousness as well as conceptual issues that arise on different approaches. Particularly important will be the question of how we might gain empirical evidence for a theory of consciousness.
Terms: Win | Units: 3
Instructors: ORourke, J. (PI)

SYMSYS 206: Topics in Natural and Artificial Intelligence (PSYCH 247)

We will read a selection of recent papers from psychology, computer science, and other fields. We will aim to understand: How human-like are state of the art artificial intelligence systems? Where can AI be better informed by recent advances in cognitive science? Which ideas from modern AI inspire new approaches to human intelligence? Specific topics will be announced prior to the beginning of term. "Registration is limited to graduate students except by instructor consent. Please write to mcfrank@stanford.edu with a one-paragraph justification if you are an undergraduate interested in registering"
Terms: Win | Units: 3

SYMSYS 207: Conceptual Issues in Cognitive Science

This seminar will cover a selection of foundational issues in cognitive science. Topics may include modularity, representation, connectionism, neuroscience and free will, neuroimaging, implants, sensory experience, the nature of information, and consciousness. Course is limited to 15 students. Prerequisite: Phil 80, or permission of the instructor.
Terms: Win | Units: 3

SYMSYS 245: Cognition in Interaction Design

This seminar offers an in-depth exploration of interactive systems through the lens of human cognition. Topics covered include: reasoning and problem-solving, skill acquisition and complex learning, language, attention and perception, interaction with intelligent and adaptive systems, and design considerations for users with special needs, such as cognitive disabilities. Students will learn advanced interaction analysis methods applicable in UX analysis and cognitive research. A useful (not required) prerequisite is a course in cognitive psychology or cognitive anthropology. As this is the last time this course will be offered, enrollment is limited to advanced Symbolic Systems students who need the course to graduate. Contact the instructor (via email) to obtain an axess key.
Terms: Win, Spr | Units: 3
Instructors: Shrager, J. (PI)

SYMSYS 280: Symbolic Systems Research Seminar

A mixture of public lectures of interest to Symbolic Systems students (the Symbolic Systems Forum) and student-led meetings to discuss research in Symbolic Systems. Can be repeated for credit. Open to both undergraduates and Master's students.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit (up to 99 units total)
Instructors: Davies, T. (PI)

SYMSYS 290: Master's Degree Project

Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

SYMSYS 291: Master's Program Seminar

Enrollment limited to students in the Symbolic Systems M.S. degree program. May be repeated for credit. First meeting 10/3/22. No meeting in Week 1.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
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