What This Document Is
This is a detailed syllabus for BME 502: Advanced Studies of the Nervous System, a graduate-level course offered at the University of Southern California. It outlines the course structure, expectations, and policies for the Fall 2008 semester. The course is designed for biomedical engineering students and focuses on the intersection of nervous system function with computational modeling. It bridges foundational neuroscience principles with engineering applications, particularly concerning both typical and atypical brain activity.
Why This Document Matters
This syllabus is essential for any student considering enrolling in or currently registered for BME 502. It provides a comprehensive overview of the course workload, grading breakdown, and important dates – like exam schedules. Understanding the expectations regarding reading assignments, homework, and substantial computer projects is crucial for success. Prospective students can use this to gauge the course’s intensity and determine if their background aligns with the prerequisites. Current students will find it a vital reference throughout the semester.
Common Limitations or Challenges
This document serves as a roadmap for the course but does *not* contain the actual course content itself. It details *what* will be covered, but not *how* specific concepts are explained or the details of the computational models explored. It also doesn’t include solutions to homework problems or completed project code. Access to the full syllabus doesn’t substitute for attending lectures or completing assigned readings.
What This Document Provides
* A clear outline of course logistics: meeting times, location, and required textbook.
* A breakdown of the course workload, including estimated time commitments for readings, homework, and projects.
* Detailed information on grading components: homework, computer projects, and exams, including their respective weights.
* Policies regarding late submissions, academic integrity, and exam procedures.
* A week-by-week course plan outlining general topics to be covered, providing a high-level view of the semester’s progression.
* Information regarding the use of programming languages for computer projects.
