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: 2022-2023

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

Course Instructor Category
CSE 503 Software Engineering Michael Ernst System design and Implementation
CSE 510 HCI
510 Course Pitch
James Fogarty Human-facing
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 528 Computational Neuroscience Rajesh P. N. Rao ML/AI, Interacting with Data, & Statistical Applications
CSE 546 Machine Learning
546 Course Pitch
Jamie Morgenstern, Ludwig Schmidt 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 Ratul Mahajan System Design & Implementation
CSE 564 Computer Security & Privacy
564 Course Pitch
Tadayoshi Kohno System Design & Implementation
OR Human-facing
CSE 579 Intelligent Control through Learning and Optimization
573 Course Pitch
Hannaneh Hajishirzi ML/AI/Statistical Applications/Interacting with Data
INSC 570 Research Design Not Listed Human-facing
Course Instructor Category
CSE 505 Principles of Programming Languages Zachery Tatlock Theory/Mathematical/Formal Reasoning
CSE 517 NLP
517 Course Pitch
Noah Smith ML/AI/Statistical Applications/Interacting with Data
CSE 543 Deep Learning Simon Du ML/AI/Statistical Applications/Interacting with Data
CSE 547 Machine Learning for Big Data
547 Course Pitch
Tim Althoff ML/AI/Statistical Applications/Interacting with Data
CSE 556 Computational Fabrication
556 Course Pitch
Adriana Schulz ML/AI/Statistical Applications/Interacting with Data
OR Human-Facing
CSE 567 Principles Of Digital Systems Design Michael Taylor System Design & Implementation
CSE 573 Artifical Intelligence
573 Course Pitch
Hannaneh Hajishirzi ML/AI/Statistical Applications/Interacting with Data
INSC 571 Research Design Not Listed Human-facing OR ML/AI, Interacting with Data, & Statistical Applications
GENOME 540 Research Design TBA ML/AI, Interacting with Data, & Statistical Applications
Course Instructor Category
CSE 512 Data Visualization
512 Course Pitch
Jeffrey Heer ML/AI, Interacting with Data & Statistical Applications
OR Human-facing
CSE 525 Randomized Algorithms And Probablisitc Analysis Shayan Oveis Gharan Theory, Mathematical, & Formal Reasoning
525 Course Pitch
Cryptography
526 Course Pitch
Stefano Tessaro Theory/Mathematical/Formal Reasoning
CSE 529 Computational Genomics
529 Course Pitch
Sara Mostafavi ML/AI/Statistical Applications/Interacting with Data
CSE 546 Machine Learning
546 Course Pitch
Jamie Morgenstern, Ludwig Schmidt ML/AI/Statistical Applications/Interacting with Data
OR Theory/Mathematical/Formal Reasoning
CSE 571 Robotics
571 Course Pitch
Abhishek Gupta ML/AI/Statistical Applications/Interacting with Data
CSE 576 Computer Vision
576 Course Pitch
Linda Shapiro ML/AI/Statistical Applications/Interacting with Data
CSE 580 Computing for Social Good Kurtis Heimerl Human-facing
CSE 599/582: Ethics in Artificial Intelligence Yulia Tsvetkov ML/AI, Interacting with Data, & Statistical Applications OR Human-facing
INSC 572 Qualitative Methods in Information Science Not Listed Human-facing
HCDE 545 Qualitative Research Methods TBA ML/AI, Interacting with Data, & Statistical Applications

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
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