What This Document Is
This is a comprehensive course syllabus for EE 669: Multimedia Data Compression, offered at the University of Southern California. It outlines the structure, expectations, and assessment methods for a graduate-level course focused on the theoretical foundations and practical applications of compressing various forms of multimedia data. The syllabus details important logistical information for students enrolled in the Spring 2009 semester.
Why This Document Matters
This syllabus is essential for anyone considering enrolling in or currently taking EE 669. It provides a clear understanding of the course’s scope, the instructor’s expectations, and the grading breakdown. Prospective students can use this to determine if their background and interests align with the course content. Current students will find crucial details regarding project requirements, exam dates, and policies on late submissions. Understanding this information upfront is key to success in the course.
Common Limitations or Challenges
This syllabus provides an overview of the course but does *not* contain the actual course materials, lecture slides, or detailed explanations of compression algorithms. It outlines the topics covered – lossless and lossy compression techniques for image, audio, and video – but doesn’t delve into the specifics of *how* these techniques are implemented. It also doesn’t include solutions to assignments or examples of expected work. Access to the full course content requires separate purchase.
What This Document Provides
* Course logistics: including meeting times, location, and instructor contact information.
* Details on teaching assistants and graders, including office hours.
* A list of recommended (but not required) reference books for further study.
* An overview of the projects that will be assigned throughout the semester, categorized by compression type.
* The grading breakdown, outlining the weight of projects, exams, and a term paper.
* Important dates, such as the mid-term exam and term paper due date.
* Prerequisites and expected student skills (programming and Unix familiarity).