UCLA Computer Science 111, spring 2026.
Operating Systems Principles

• Piazza
• News
• Course syllabus and schedule
• Resources for oral presentations and written reports
• Operating systems resources
• Grading

Instructor: Paul Eggert. See Bruin Learn for office hours.

Teaching assistants, with contact information and office hours published on Bruin Learn:

• Yadi Cao
• Brian Roysar

Discussion sections:

• Lab 1A. F 10:00. La Kretz 110 (Jui-Nan Yen)
• Lab 1B. F 12:00. Boelter 3400 (Ramnath Kumar)
• Lab 1C. F 14:00. Haines 220 (Zeckria Kamrany)

Lecture, 4 hours; laboratory, 2 hours; outside study, 9 hours.

Prerequisites: Computer Science 32, 33, and 35L.

Introduction to operating systems design and evaluation. Computer software systems performance, robustness, and functionality. Kernel structure, bootstrapping, input/output (I/O) devices and interrupts. Processes and threads; address spaces, memory management, and virtual memory. Scheduling, synchronization. File systems: layout, performance, robustness. Distributed systems: networking, remote procedure call (RPC), asynchronous RPC, distributed file systems, transactions. Protection and security. Exercises involving applications using, and internals of, real-world operating systems. Letter grading.

Related Computer Science Curricula 2023 (CS2023) knowledge units:

• OS-Purpose: Role and Purpose of Operating Systems
• OS-Principles: Principles of Operating System
• OS-Concurrency: Concurrency
• OS-Protection: Protection and Safety
• OS-Scheduling: Scheduling
• OS-Process: Process Model
• OS-Memory: Memory Management
• OS-Devices: Device management
• OS-Files: File Systems API and Implementation
• OS-Advanced-Files: Advanced File systems
• OS-Virtualization: Virtualization
• SF-Resource: Resource Management
• SF-Performance: System Performance
• SF-Reliability: System Reliability