AI Summary
[DOCUMENT_TYPE: administrative_document]
**What This Document Is**
This is a syllabus for CS 4020: Numerical Analysis, a course offered at William Paterson University. It outlines the expectations, policies, and structure for students enrolled in the Spring 2012 semester offering of the course. It serves as a foundational guide for understanding the course’s objectives, assessment methods, and required resources. This document details the academic framework for exploring the principles and practical applications of numerical methods.
**Why This Document Matters**
This syllabus is essential for any student considering enrollment in, or currently enrolled in, CS 4020. It clarifies the instructor’s contact information, required materials, and the grading breakdown. Understanding the course policies regarding homework, quizzes, and the final exam is crucial for academic success. Prospective students can use this to determine if the course aligns with their academic goals and preparedness. Current students should refer to it frequently throughout the semester to stay informed about deadlines and expectations.
**Common Limitations or Challenges**
This syllabus provides an overview of the course but does *not* contain the actual course content, lecture notes, problem sets, or solutions. It outlines topics that *will* be covered, but doesn’t delve into the specific methodologies or algorithms taught. It also presents a tentative schedule, which is subject to change at the instructor’s discretion. Access to this document does not grant access to course materials or the learning platform.
**What This Document Provides**
* Instructor contact information and office hours.
* A list of recommended textbooks and supplementary online resources.
* A detailed breakdown of the grading components (homework, quizzes, project, exams).
* Policies regarding homework collaboration and late submissions.
* Information on the preferred programming language and software.
* A tentative course outline, listing the major topics to be covered, such as solving linear systems, interpolation, and numerical integration.
* Important dates related to the course schedule.