What This Document Is
This is a syllabus and course outline for CS 3720: Design and Analysis of Algorithms, offered at William Paterson University. It serves as the official guide to the course, detailing expectations, policies, and the overall structure of the learning experience. It’s a foundational document for any student enrolled in, or considering enrollment in, this upper-level computer science course. The syllabus provides a comprehensive overview of the academic journey students will undertake in exploring the world of algorithms.
Why This Document Matters
This syllabus is essential for prospective and current students. If you are considering taking CS 3720, reviewing this document will help you understand the course’s scope, required materials, and the level of commitment expected. For enrolled students, it’s a critical reference point throughout the semester, outlining grading criteria, important dates, and instructor contact information. Understanding the syllabus upfront can significantly contribute to your success in the course and help you plan your academic schedule effectively. It’s particularly useful for students wanting to assess if their existing skillset aligns with the course prerequisites.
Common Limitations or Challenges
This syllabus provides a high-level overview and does not contain the detailed lecture notes, specific problem sets, or in-depth explanations of algorithmic concepts. It outlines *what* will be covered, but not *how* each topic will be taught or solved. It also doesn’t include the actual programming assignments or project details – those are delivered separately during the course. The syllabus is a roadmap, not the territory itself.
What This Document Provides
* Course logistics: including meeting times, location, and instructor contact details.
* A list of recommended and required textbooks for supplemental learning.
* Clearly defined course objectives outlining the skills and knowledge students will gain.
* Specific student learning outcomes, detailing measurable abilities students will demonstrate upon course completion.
* An overview of the core topics to be explored, including complexity theory and algorithm design approaches.
* Information regarding the programming language utilized throughout the course (C/C++).
* A foundational understanding of the course’s expectations regarding problem-solving and analytical skills.