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111 - 120 of 366 results for: CS

CS 184: Bridging Policy and Tech Through Design (PUBLPOL 170)

This project-based course aims to bring together students from computer science and the social sciences to work with external partner organizations at the nexus of digital technology and public policy. Students will collaborate in interdisciplinary teams on a problem with a partner organization. Along with the guidance of faculty mentors and the teaching staff, students will engage in a project with outcomes ranging from policy memos and white papers to data visualizations and software. Possible projects suggested by partner organizations will be presented at an information session in early March. Following the infosession, a course application will open for teams to be selected before the start of Spring Quarter. Students may apply to a project with a partner organization or with a preformed team and their own idea to be reviewed for approval by the course staff. There will be one meeting per week for the full class and at least one weekly meeting with the project-based team mentors. Prerequisites: Appropriate preparation depends on the nature of the project proposed, and will be verified by the teaching staff based on your application.
Last offered: Spring 2022 | Units: 3-4

CS 185: Coding with LLM Assistants

In under a year, LLM assistants have become a tool that many professional software engineers can't imagine living without. In this course, we will explore that phenomenon and design curriculum and pedagogical adaptations to it. In this class, we will: Conduct a survey-based ethnography of how professional software engineers are using LLMs (e.g., do they find it more useful for architectural planning vs code creation vs code explanation vs identifying bugs; what percentage of the day are they using it; how comfortable do they feel using it to work in frameworks or languages they are themselves unfamiliar with, etc); Engage in structured exploration using different LLM coding assistant tools for actual Stanford assignments (in classes they've already completed) and to perform new tasks in unfamiliar languages, and reflect on those experiences; Read what others are saying about the process of coding with LLMs through review of popular sources (e.g., podcasts, blog posts); Learn an overview of the science of teaching and learning, and what is needed for an effective education in software engineering; Design new curricular materials that address the new needs and practices of professional software engineers, using principles of good pedagogical design.
Last offered: Autumn 2023 | Units: 2

CS 186: How to Make a Moral Agent (PHIL 86)

Is it bad if you lie to ChatGPT? Who is to blame if ChatGPT lies? Should we let superhuman AI make life and death decisions? These questions ask whether advanced AI systems (today, often large language models - LLMs) can be moral agents - whether they are the kind of thing that can know how to make (ethically) correct decisions, and be held responsible for the rights or wrongs they do. Asking these questions leads us to questions about ourselves: What about us makes us moral agents? Is it our reason? Or is it essential that we emotionally feel each others' pain? Is selfishness irrational, or just unpleasant? Understanding ourselves can help us think about what kinds of artificial minds we would like to make, and, if we can, how. In this class, we provide the philosophical rigor and technical background necessary to robustly interrogate these and related questions. Readings will be drawn from philosophy, deep learning, and the cognitive sciences. The major assessment in this class will be a term project. There will be reading assignments for every class, and a mix of lectures, discussions, and participatory in-class activities. Recommended prerequisites: PHIL 80 or multiple philosophy courses; CS 183.
Terms: Spr | Units: 3
Instructors: Gottlieb, D. (PI) ; Moore, J. (PI)

CS 187: Design for Advocacy

The COVID pandemic has both revealed many of our underlying civilization problems and unleashed a desire for radical change. Effective responses will require people who know how to collaborate creatively and confidently, and act in systems with self-awareness. In this project based course, we will embrace complexity without being paralyzed by it. Working on a real-world challenge related to social health and civic fabric (e.g. political polarization, loneliness and social isolation) you will practice identifying high-leverage entry points for change, rigorously framing problems, and making process and product development decisions by evaluating impact. The course draws from HCD, systems thinking, strategic foresight, emotional intelligence, and agile team operations to prepare you to be even more successful as a designer, researcher, product manager, entrepreneur, or activist. If you tend to be more theory oriented, this course will get you into action. If you're quick to action, this course will give you a wider foundation for making a positive impact. Prerequisite: Strongly recommend CS147, ME216A or a d.school class on needfinding.
| Units: 3-4

CS 190: Software Design Studio

This course teaches the art of software design: how to decompose large complex systems into classes that can be implemented and maintained easily. Topics include the causes of complexity, modular design, techniques for creating deep classes, minimizing the complexity associated with exceptions, in-code documentation, and name selection. The class involves significant system software implementation and uses an iterative approach consisting of implementation, review, and revision. The course is taught in a studio format with in-class discussions and code reviews in addition to lectures. Prerequisite: CS 140 or equivalent. Apply at: https://web.stanford.edu/class/cs190
Last offered: Winter 2024 | Units: 3-4

CS 191: Senior Project

Restricted to Computer Science students. Individual research projects under faculty direction. Enroll in the section that is led by your research instructor. The project must consist of publishable research. The research project may result in a paper publishable to an academic journal or presentable at a conference. A public presentation of research results is required. Prerequisite: Completion of at least 135 units and consent of instructor. Project proposal form is required before the beginning of the quarter of enrollment: https://www.cs.stanford.edu/bs-requirements-senior-project
Terms: Aut, Win, Spr | Units: 1-6 | Repeatable for credit
Instructors: Achour, S. (PI) ; Adeli, E. (PI) ; Agrawala, M. (PI) ; Aiken, A. (PI) ; Altman, R. (PI) ; Bailey, C. (PI) ; Barrett, C. (PI) ; Bejerano, G. (PI) ; Bernstein, M. (PI) ; Bohg, J. (PI) ; Boneh, D. (PI) ; Borenstein, J. (PI) ; Bouland, A. (PI) ; Boyd, S. (PI) ; Cain, J. (PI) ; Charikar, M. (PI) ; Dally, B. (PI) ; Demszky, D. (PI) ; Dror, R. (PI) ; Durumeric, Z. (PI) ; Engler, D. (PI) ; Ermon, S. (PI) ; Fatahalian, K. (PI) ; Fedkiw, R. (PI) ; Finn, C. (PI) ; Fogg, B. (PI) ; Follmer, S. (PI) ; Fox, E. (PI) ; Genesereth, M. (PI) ; Goel, A. (PI) ; Goodman, N. (PI) ; Gregg, C. (PI) ; Guibas, L. (PI) ; Haber, N. (PI) ; Hanrahan, P. (PI) ; Hennessy, J. (PI) ; Horowitz, M. (PI) ; Icard, T. (PI) ; James, D. (PI) ; Johari, R. (PI) ; Jurafsky, D. (PI) ; Katti, S. (PI) ; Khatib, O. (PI) ; Kjoelstad, F. (PI) ; Kochenderfer, M. (PI) ; Koller, D. (PI) ; Koyejo, S. (PI) ; Kozyrakis, C. (PI) ; Kundaje, A. (PI) ; Lam, M. (PI) ; Landay, J. (PI) ; Leskovec, J. (PI) ; Levis, P. (PI) ; Levitt, M. (PI) ; Li, F. (PI) ; Liang, P. (PI) ; Linderman, S. (PI) ; Liu, K. (PI) ; Ma, T. (PI) ; Manning, C. (PI) ; Mazieres, D. (PI) ; McClelland, J. (PI) ; McKeown, N. (PI) ; Mirhoseini, A. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Montgomery, S. (PI) ; Musen, M. (PI) ; Ng, A. (PI) ; Niebles Duque, J. (PI) ; Olukotun, O. (PI) ; Ousterhout, J. (PI) ; Pande, V. (PI) ; Parlante, N. (PI) ; Pea, R. (PI) ; Piech, C. (PI) ; Poldrack, R. (PI) ; Potts, C. (PI) ; Prabhakar, B. (PI) ; Re, C. (PI) ; Reingold, O. (PI) ; Rosenblum, M. (PI) ; Rubinstein, A. (PI) ; Sadigh, D. (PI) ; Sahami, M. (PI) ; Salisbury, J. (PI) ; Savarese, S. (PI) ; Schwarz, K. (PI) ; Song, S. (PI) ; Stamos, A. (PI) ; Subramonyam, H. (PI) ; Syrgkanis, V. (PI) ; Tan, L. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Trippel, C. (PI) ; Valiant, G. (PI) ; Van Roy, B. (PI) ; Vitercik, E. (PI) ; Wang, G. (PI) ; Wetzstein, G. (PI) ; Widom, J. (PI) ; Winstein, K. (PI) ; Wodtke, C. (PI) ; Wootters, M. (PI) ; Wu, J. (PI) ; Yamins, D. (PI) ; Yang, D. (PI) ; Yeung, S. (PI) ; Young, P. (PI) ; Zelenski, J. (PI) ; Zou, J. (PI)

CS 191W: Writing Intensive Senior Research Project

Restricted to Computer Science students. Writing-intensive version of CS191. Enroll in the section that is led by your research instructor. Prerequisite: Completion of at least 135 units and consent of instructor. Project proposal form is required before the beginning of the quarter of enrollment: https://www.cs.stanford.edu/bs-requirements-senior-project
Terms: Aut, Win, Spr | Units: 3-6 | Repeatable for credit
Instructors: Achour, S. (PI) ; Adeli, E. (PI) ; Agrawala, M. (PI) ; Aiken, A. (PI) ; Altman, R. (PI) ; Barrett, C. (PI) ; Bejerano, G. (PI) ; Bernstein, M. (PI) ; Bohg, J. (PI) ; Boneh, D. (PI) ; Borenstein, J. (PI) ; Bouland, A. (PI) ; Boyd, S. (PI) ; Brunskill, E. (PI) ; Cain, J. (PI) ; Charikar, M. (PI) ; Dally, B. (PI) ; Demszky, D. (PI) ; Dror, R. (PI) ; Durumeric, Z. (PI) ; Engler, D. (PI) ; Ermon, S. (PI) ; Fatahalian, K. (PI) ; Fedkiw, R. (PI) ; Finn, C. (PI) ; Fogg, B. (PI) ; Fox, E. (PI) ; Genesereth, M. (PI) ; Goel, A. (PI) ; Goodman, N. (PI) ; Gregg, C. (PI) ; Guestrin, C. (PI) ; Guibas, L. (PI) ; Haber, N. (PI) ; Hanrahan, P. (PI) ; Hashimoto, T. (PI) ; Hennessy, J. (PI) ; Horowitz, M. (PI) ; Icard, T. (PI) ; James, D. (PI) ; Johari, R. (PI) ; Jurafsky, D. (PI) ; Katti, S. (PI) ; Khatib, O. (PI) ; Kjoelstad, F. (PI) ; Kochenderfer, M. (PI) ; Koller, D. (PI) ; Koyejo, S. (PI) ; Kozyrakis, C. (PI) ; Kundaje, A. (PI) ; Lam, M. (PI) ; Landay, J. (PI) ; Leskovec, J. (PI) ; Levis, P. (PI) ; Levitt, M. (PI) ; Li, F. (PI) ; Liang, P. (PI) ; Linderman, S. (PI) ; Liu, K. (PI) ; Ma, T. (PI) ; Manning, C. (PI) ; Mazieres, D. (PI) ; McClelland, J. (PI) ; McKeown, N. (PI) ; Mirhoseini, A. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Montgomery, S. (PI) ; Musen, M. (PI) ; Ng, A. (PI) ; Niebles Duque, J. (PI) ; Okamura, A. (PI) ; Olukotun, O. (PI) ; Ousterhout, J. (PI) ; Pande, V. (PI) ; Parlante, N. (PI) ; Pea, R. (PI) ; Piech, C. (PI) ; Potts, C. (PI) ; Prabhakar, B. (PI) ; Re, C. (PI) ; Reingold, O. (PI) ; Rosenblum, M. (PI) ; Rubinstein, A. (PI) ; Saberi, A. (PI) ; Sadigh, D. (PI) ; Sahami, M. (PI) ; Salisbury, J. (PI) ; Savarese, S. (PI) ; Schwarz, K. (PI) ; Song, S. (PI) ; Stamos, A. (PI) ; Syrgkanis, V. (PI) ; Tan, L. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Trippel, C. (PI) ; Valiant, G. (PI) ; Van Roy, B. (PI) ; Vitercik, E. (PI) ; Wang, G. (PI) ; Wetzstein, G. (PI) ; Widom, J. (PI) ; Winstein, K. (PI) ; Wodtke, C. (PI) ; Wootters, M. (PI) ; Wu, J. (PI) ; Yamins, D. (PI) ; Yang, D. (PI) ; Yeung, S. (PI) ; Young, P. (PI) ; Zelenski, J. (PI) ; Zou, J. (PI)

CS 192: Programming Service Project

Restricted to Computer Science students. Appropriate academic credit (without financial support) is given for volunteer computer programming work of public benefit and educational value. Enroll in the section that is led by your research instructor. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-4 | Repeatable for credit

CS 193C: Client-Side Internet Technologies

Client-side technologies used to create web sites such as Google maps or Gmail. Includes HTML5, CSS, JavaScript, the Document Object Model (DOM), and Ajax. Prerequisite: programming experience at the level of CS106A.
Last offered: Summer 2025 | Units: 3

CS 193P: iOS Application Development

Build mobile applications using tools and APIs in iOS. Developing applications for the iPhone and iPad requires integration of numerous concepts including functional programming, object-oriented programming, computer-human interfaces, graphics, animation, reactive interfaces, Model-View-Intent (MVI) and Model-View-View-Model (MVVM) design paradigms, object-oriented databases, networking, and interactive performance considerations including multi-threading. This course will require you to learn a new programming language (Swift) as well as the iOS development environment, SwiftUI. Prerequisites: All coursework (homework and final project) involves writing code, so writing a lot of code should not be new to you (coding experience in almost any language is valuable, but object-oriented (e.g. CS108) and/or functional programming languages (e.g. CS43) are most highly recommended).  CS106A and B (or X) and CS107 (or equivalent) are hard prerequisites. Any other courses that help to develop your maturity as a programmer are also recommended.
Last offered: Spring 2025 | Units: 3
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