What This Document Is
This is a comprehensive course syllabus for Operating Systems (CS 326) at the University of San Francisco, designed for undergraduate computer science students. It outlines the expectations, structure, and policies for the Fall 2004 semester. The syllabus serves as a foundational guide to understanding the course’s objectives, required materials, and how student performance will be evaluated. It details the core concepts explored within the realm of operating system design and implementation.
Why This Document Matters
This syllabus is essential for any student enrolled in, or considering enrolling in, CS 326. It clarifies the prerequisites needed for success, helping prospective students determine if they have the necessary background knowledge. Current students will rely on this document throughout the semester to understand assignment weighting, exam dates, and the instructor’s expectations for participation and academic integrity. It’s a crucial resource for planning and prioritizing coursework.
Common Limitations or Challenges
This syllabus provides a high-level overview of the course. It does *not* contain the actual lecture notes, programming assignments, or detailed explanations of operating system concepts. It also doesn’t include solutions to problems or examples of code. The specific content covered in each lecture and lab session is not detailed within this document – that information will be delivered during the course itself.
What This Document Provides
* A clear outline of the course’s learning objectives and expected outcomes.
* Details regarding required textbooks and associated ISBNs.
* A schedule of topics to be covered throughout the semester, linked to specific readings.
* Information about the instructor’s contact details and office hours.
* A breakdown of the grading components and their respective weights.
* Important policies regarding academic conduct and the use of university resources.
* Key dates for midterm and final examinations.
* A list of prerequisite knowledge areas (e.g., programming languages, data structures).
