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Computer Science Atlas

Data Structures

A rigorous, implementation-oriented course that teaches the fundamental data structures used in computer science. Students learn to analyze time- and space-complexity trade-offs, design efficient abstract data types, and engineer production-quality code in Java. Topics progress from basic containers (bags, stacks, queues) through advanced associative structures (balanced trees, hash tables) and graph representations, culminating in real-world applications such as autocomplete, network routing, and geometric search. Emphasis is placed on amortized analysis, unit testing, and incremental software development.

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Bags, Stacks & Queues on the Resizing Array

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Resizing Array Implementation of a Bag appears earlier in the syllabus and supports Memory Profiling & Iterator Design.Memory Profiling & Iterator Design appears earlier in the syllabus and supports Empirical Timing & Curve Fitting.Empirical Timing & Curve Fitting appears earlier in the syllabus and supports Insertion & Selection Sort.Insertion & Selection Sort appears earlier in the syllabus and supports Top-down Mergesort & Stability.Top-down Mergesort & Stability appears earlier in the syllabus and supports Binary Heap Implementation.Binary Heap Implementation appears earlier in the syllabus and supports Unbalanced BST & Ordered Operations.Unbalanced BST & Ordered Operations appears earlier in the syllabus and supports Left-leaning Red-Black Trees.Left-leaning Red-Black Trees appears earlier in the syllabus and supports Separate Chaining & Load Factor.Separate Chaining & Load Factor appears earlier in the syllabus and supports Adjacency Lists vs. Matrices.prerequisite

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Resizing Array Implementation of a Bag -> Memory Profiling & Iterator Design

Resizing Array Implementation of a Bag appears earlier in the syllabus and supports Memory Profiling & Iterator Design.

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Resizing Array Implementation of a Bag

Introduce the Bag ADT and implement it with a resizing array.

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Resizing Array Implementation of a Bag: the core idea

Introduce the Bag ADT and implement it with a resizing array. The key thing to notice is: Bag ADT (unordered collection, no removal). A useful example is Twitter ingest pipeline buffering tweets before flush. Do not treat this as a vocabulary item; the point is to use it to reason about a new situation.

Where would Resizing Array Implementation of a Bag show up in an everyday decision or news headline?

Look for the hidden relationship in the example: Twitter ingest pipeline buffering tweets before flush.

Resizing Array Implementation of a Bag: the core idea