CS-218 explores fundamental data structures and algorithms such as stack, queue, tree, graph, and hash table, and discusses various implementations of these data structures and algorithms. The course examines commonly used fast sorting algorithms with in-depth analysis of time and memory use, requiring students to not only understand the concepts but implement solutions using appropriate data structures and algorithms.
Understanding structures through implementation, not just theory
The course requires students to actually implement the data structures and algorithms they study, ensuring genuine practical competency rather than only theoretical familiarity with concepts like stacks, trees, and graphs.
Analyzing time and memory trade-offs rigorously
CS-218 gives particular depth to analyzing sorting algorithms' time and memory use, teaching students to reason rigorously about performance trade-offs rather than simply knowing that different algorithms exist.
Key topics in CS218
- Stacks, queues, and linked structures
- Trees and graph data structures
- Hash tables and hashing
- Fast sorting algorithm analysis
- Time and memory complexity analysis
- Implementing data structures and algorithms
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Worked example: choosing a sorting algorithm based on trade-offs
- Simple sort: Easy to implement but slow on large datasets
- Fast sort: More complex to implement but performs far better at scale
- Lesson: CS-218 teaches that choosing the right algorithm requires weighing this kind of time/complexity trade-off against the actual problem size, not defaulting to whichever algorithm is simplest to write
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Frequently asked questions
Both courses share the same title and very similar subject matter — stacks, queues, trees, graphs, hash tables, and sorting algorithm analysis — strongly suggesting these are parallel listings within SNHU's catalog, likely tied to different program tracks, campus versus online delivery, or different catalog eras, similar to the parallel-numbering pattern already documented across Accounting, Marketing, and Chemistry courses at SNHU. Students should confirm with their advisor which specific number applies to their program requirements.
Understanding conceptually that a hash table offers fast lookups or that a particular sort is efficient doesn't guarantee the ability to actually build a working, correct implementation, and real software development requires this practical implementation skill, not just theoretical familiarity with how these structures work. CS-218 requires hands-on implementation because genuine competency in data structures and algorithms is demonstrated by successfully building and using them, not simply describing them.