UCLA Computer Science 111, fall 2023.
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. Geology 4660 (Yadi Cao)
• Lab 1B. F 12:00. Broad Art Center 2100A (Brian Roysar)
• Lab 1C. F 14:00. Public Affairs 2270 (Yadi Cao)
• Lab 1D. F 14:00. Rolfe 3135 (Brian Roysar)

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 2013 (CS2013) knowledge units:

• OS/Overview of Operating Systems
• OS/Operating System Principles
• OS/Concurrency
• OS/Scheduling and Dispatch
• OS/Memory Management
• OS/Security and Protection
• OS/Virtual Machines
• OS/Device Management
• OS/File Systems
• OS/System Performance Evaluation
• PD/Communication and Coordination
• PD/Distributed Systems
• IAS/Foundational Concepts in Security
• IAS/Threats and Attacks
• NC/Networked Applications
• SF/Cross-Layer Communications
• SF/Resource Allocation and Scheduling
• SF/Virtualization and Isolation
• SF/Reliability through Redundancy

Related IEEE Software Engineering Body of Knowledge (SWEBOK) 3.0 topics:

• 3.4.10. Concurrency primitives
• 3.4.14. Performance analysis and tuning
• 3.4.15. Platform standards
• 13.2. Abstraction
• 13.8. Basic concept of a system
• 13.11. Operating system basics
• 13.13. Network communication basics

Related Computer Engineering Curricula 2016 (CE2016) knowledge units:

• CE-CAL-9. Scheduling algorithms
• CE-SEC-3. Data security and integrity
• CE-SRM-3. Managing system resources
• CE-SRM-4. Real-time operating system design
• CE-SRM-6. Support for concurrent processing
• CE-SRM-8. Support for virtualization
• CE-SWD-11. Event-driven and concurrent programming
• CE-SWD-12. Using application programming interfaces

These curriculum guidelines evolve; see Computing Curricula 2020 Paradigms for Global Computing Education (CC2020).