What This Document Is
This is a comprehensive syllabus for CS 4040: Computer Simulation, offered at William Paterson University. It serves as the official guide for students enrolled in this upper-level computer science elective. The syllabus details the course structure, expectations, and logistical information necessary for successful completion of the course. It outlines the academic journey students will undertake to explore the theoretical and practical aspects of computer simulation.
Why This Document Matters
This syllabus is crucial for any student considering enrolling in, or currently registered for, CS 4040. It provides a clear understanding of the course’s objectives, the skills students will develop, and the workload involved. Prospective students can use this to determine if the course aligns with their academic interests and career goals. Current students should refer to this document frequently throughout the semester as a central reference for policies, grading criteria, and important dates. It’s essential for planning and staying on track with coursework.
Common Limitations or Challenges
This syllabus provides an overview of the course but does not contain the detailed lecture notes, assignments, or specific solutions covered within the course itself. It outlines the topics to be explored, but doesn’t deliver the in-depth explanations or practical exercises. Access to the full course materials, including programming exercises and detailed analyses, requires separate purchase or enrollment. It also represents a specific offering (Fall 2005) and details may change in future semesters.
What This Document Provides
* A detailed course description outlining the core concepts of computer simulation.
* Clearly defined student learning outcomes, indicating the skills students will acquire.
* Information regarding required and suggested reading materials to support learning.
* Instructor contact information and office hours for student support.
* An overview of the types of projects and programming languages likely to be used (C/C++/Java, GPSS, Arena, Simulink).
* A description of the course’s focus on modeling both deterministic and stochastic systems.
* Details regarding the importance of probability and statistics in simulation modeling.
