SNHU CS-300: Data Structures and Algorithms: Analysis and Design
CS-300 is SNHU's data structures course in C++: vectors, linked lists, hash tables, and binary search trees, plus Big-O runtime analysis. It builds to the ABCU advising program project, where you choose a data structure, justify it with runtime analysis, and implement a course-catalog loader and printer.
Fennie is independent and not affiliated with Southern New Hampshire University. This is an unofficial study guide.
What makes it hard
This is widely called the hardest course in the early CS core. The pseudocode and runtime-analysis assignments demand a different kind of thinking than earlier project courses, and the final project requires both working C++ and a written defense of your data-structure choice. Students who can code but can't explain Big-O lose points on the analysis half.
What you'll cover
- • Big-O notation and runtime analysis
- • Vectors and linked lists
- • Hash tables
- • Binary search trees
- • Sorting and searching algorithms
- • Pseudocode and design documents
The CS-300 study guide
How to study for SNHU CS-300, step by step.
- 1
Learn Big-O with each structure, not after
For every structure you implement, state its insert and search runtimes the same week and say why. CS-300 grades the analysis as heavily as the code, and bolting it on later doesn't work.
- 2
Write pseudocode before code; it's graded
The design assignments are direct rubric items, not busywork. Practice sketching logic in pseudocode first until it feels natural, because the final project requires it in writing.
- 3
Build a runtime table early
One page: vector, linked list, hash table, BST down the side; insert, search, delete across the top. Fill it in as you go and the final project's written defense writes itself.
- 4
Clear the calendar for the BST and hash-table weeks
Students consistently report these as the heaviest modules in the course. Bank time in the lighter early weeks so you can slow down when the trees arrive.
- 5
Start the ABCU analysis before the code is done
The written justification of your data-structure choice is half the project grade. Draft it while you implement; the reasoning is fresher and the Sunday crunch is smaller.
Today
Today's CS-300 plan
What a Fennie Daily Plan looks like for CS-300. Yours is built from your own syllabus and adapts every day to your deadlines and progress.
First plan free, no card required. Fennie is independent and unaffiliated with your school.
FAQ
Is SNHU CS-300 hard?
It has that reputation, yes. The combination of C++ implementation, pseudocode design work, and Big-O analysis makes it the heaviest course before the 300-level projects. Steady weekly effort matters more here than in any earlier course.
What is the CS-300 final project?
The ABCU advising assistance program: load a course list from a file into a data structure you choose (vector, hash table, or BST), print sorted course information, and justify your choice with runtime analysis in a written document.
How do I study for CS-300?
Don't just complete the labs. For each structure, be able to state insert/search runtimes and why. Writing pseudocode before code is graded directly, so practice it. A day-by-day plan through the BST weeks beats a weekend cram every time.
More SNHU courses
CS-210: Programming Languages
CS-210 introduces C++ and compares how different languages handle the same problems, sitting early in SNHU's CS core after IT-140 and IT-145. The signature project is the Corner Grocer item-tracking program, which reads a file and reports item frequencies using maps.
CS-250: Software Development Lifecycle
CS-250 covers the software development lifecycle with a heavy focus on Agile and Scrum: roles, ceremonies, user stories, and how requirements become working software. There's little programming; assignments are mostly written analyses of a case-study development team.
CS-320: Software Test, Automation QA
CS-320 teaches software testing in Java: unit tests with JUnit, requirements-based test design, and basic QA strategy. Across the term you build and test three small services (contact, task, and appointment), then reflect on your testing approach in a final summary.
CS-330: Computational Graphics and Visualization
CS-330 is SNHU's OpenGL course: you spend the entire 8 weeks building one 3D scene in C++ that recreates a real photo, adding geometry, textures, lighting, and camera controls milestone by milestone. It's one of the last courses in the CS program and assumes solid C++ from CS-210 and CS-300.