Allen School Teaching Schedule Information School PhD Teaching Schedule

The Allen School Ph.D. course requirements are outlined on the Ph.D. Process webpage. The courses listed here count as Breadth for the specific quarter/year. If you have any questions, please email grad-advising@cs and one of the advisers will connect with you.

Breadth Courses: 2023-2024

Click the icon to go to the MyPlan registration page for each course.

Course Instructor Category
CSE 503 Software Engineering Michael Ernst System Design & Implementation
CSE 507 Computer-Aided Reasoning for Software Zachary Tatlock Theory, Mathematical, & Formal Reasoning
CSE 510 HCI
510 Course Pitch 		James Fogarty Human-facing
CSE 515 Statistical Methods Jamie Morgenstern ML/AI, Interacting with Data, & Statistical Applications
CSE 521 Algorithms
521 Course Pitch 		Shayan Oveis Gharan Theory, Mathematical, & Formal Reasoning
CSE 527 Computational Biology
527 Course Pitch 		Su-in Lee ML/AI, Interacting with Data, & Statistical Applications
CSE 543 Deep Learning Simon Du ML/AI, Interacting with Data, & Statistical Applications
CSE 546 Machine Learning
546 Course Pitch 		Kevin Jamieson, TBD ML/AI/Statistical Applications/Interacting with Data
OR Theory/Mathematical/Formal Reasoning
CSE 548 Computer Systems Architecture Mark Oskin System Design & Implementation
CSE 550 Systems for All Baris Kasicki System Design & Implementation
CSE 599Q Quautum Computing Andrea Coladangelo Theory/Mathematical/Formal Reasoning
Breadth, pending faculty approval

Course Instructor Category
CSE 517 Natural Language Processing
517 Course Pitch 		Yejin Choi ML/AI/Statistical Applications/Interacting with Data
CSE 529 Computational Genomics
529 Course Pitch 		Sara Mostafavi ML/AI/Statistical Applications/Interacting with Data
CSE 531 Complexity Thomas Rothvoss Theory, Mathematical, & Formal Reasoning
CSE 544 Databases
544 Course Pitch 		Dan Suciu System Design & Implementation
CSE 546 Machine Learning
546 Course Pitch 		Matt Golub, Hunter Schafer ML/AI/Statistical Applications/Interacting with Data
OR Theory/Mathematical/Formal Reasoning
CSE 551 Operating Systems Tom Anderson System Design & Implementation
CSE 564 Security
564 Course Pitch 		Franzi Roesner System Design & Implementation
OR Human-facing
CSE 567 Digital System Design Taught by Electrical & Computer Engineering System Design & Implementation
CSE 581 Computing Ethics
581 Course Pitch 		Katharina Reinecke Human-facing

Course Instructor Category
CSE 512 Visualization
512 Course Pitch 		Jeff Heer ML/AI, Interacting with Data, & Statistical Applications
OR Human-facing
CSE 513 Accessibility
Jennifer Mankoff Human-facing
CSE 535 Theory of Convex Optimization
535 Course Pitch 		James Lee Theory, Mathematical, & Formal Reasoning
CSE 541 Interactive Learning
541 Course Pitch 		Kevin Jamieson ML/AI, Interacting with Data, & Statistical Applications
CSE 542 Reinforcement Learning Abhishek Gupta ML/AI, Interacting with Data, & Statistical Applications
CSE 547 Machine Learning for Big Data
547 Course Pitch 		Tim Althoff ML/AI, Interacting with Data, & Statistical Applications
CSE 552 Distributed Systems Arvind Krishnamurthy Theory, Mathematical, & Formal Reasoning
OR System Design & Implementation
CSE 562 Mobile Systems Shyam Gollakota ML/AI, Interacting with Data, & Statistical Applications
OR System Design & Implementation
CSE 571 Robotics
571 Course Pitch 		Dieter Fox ML/AI, Interacting with Data, & Statistical Applications
CSE 576 Computer Vision
576 Course Pitch 		Linda Shapiro ML/AI, Interacting with Data, & Statistical Applications
CSE 582 Ethics in AI Yulia Tsvetkov ML/AI, Interacting with Data, & Statistical Applications
OR Human-facing

All Breadth Courses by Group

Group 1: Theory, Mathematical, & Formal Reasoning
  • CSE 505: Programming Languages
  • CSE 507: Computer-aided Reasoning
  • CSE 515: Statistical Methods
  • CSE 521: Algorithms for all
  • CSE 525: Randomized Algorithms
  • CSE 526: Cryptography
  • CSE 531: Complexity
  • CSE 535: Theory of Optimization and Continuous Algorithms
  • CSE 546: Machine Learning
  • CSE 552: Distributed Systems
  • CSE 5XX: Quantum Computing (pending faculty approval and permanent course number)
Group 2: System Design & Implementation
  • CSE 501: Compilers
  • CSE 503: Software Engineering
  • CSE 544: Databases
  • CSE 548: Computer Architecture
  • CSE 549: High-performance Computer Architecture
  • CSE 550: Systems for All
  • CSE 551: Operating Systems
  • CSE 552: Distributed Systems
  • CSE 553: Data Centers
  • CSE 561: Networks
  • CSE 562: Mobile Systems & Applications
  • CSE 564: Security
  • CSE 567: Principles of Digital System Design
Group 3: ML/AI, Interacting with Data, & Statistical Applications
  • CSE 512: Data Visualization
  • CSE 515: Statistical Methods
  • CSE 517: Natural Language Processing
  • CSE 527: Computational Biology
  • CSE 528: Computational Neuroscience
  • CSE 529: Computational Genomics
  • CSE 541: Interactive Learning
    Group 3 (continued)
  • CSE 542: Reinforcement Learning
  • CSE 543: Deep Learning
  • CSE 546: Machine Learning
  • CSE 547/STAT 548: Machine Learning for Big Data
  • CSE 556: Fabrication
  • CSE 557: Graphics
  • CSE 562: Mobile Systems & Applications
  • CSE 571: Robotics
  • CSE 573: Artificial Intelligence
  • CSE 576: Vision
  • CSE 579: Intelligent Control through Learning and Optimization
  • CSE 582: Ethics in Artificial Intelligence,
  • Genome 540: Computational Molecular Biology
  • INSC 571: Quantitative Methods in Information Science
  • Group 4: Human-facing
    • CSE 510: Human-Computer Interaction
    • CSE 512: Data Visualization
    • CSE 556: Fabrication
    • CSE 557: Graphics
    • CSE 564: Security
    • CSE 580: Computer Science for Social Good
    • CSE 581: Computing Ethics
    • CSE 582: Ethics in Artificial Intelligence
    • HCDE 544:Experimental and Quasi-Experimental Research Methods
    • HCDE 545: Qualitative Research Methods
    • INSC 570: Research Design
    • INSC 571: Quantitative Methods in Information Science
    • INSC 572: Qualitative Methods in Information Science