Module outline:📋 Module Topics🎯 Student Learning Outcomes
COP3530 — Data Structures

Hash Tables: Structure and Collision Resolution

This module covers the fundamentals of hash tables — from their internal array-based design and hash function properties to collision resolution strategies including chaining and open addressing. Work through the topics below to build a solid conceptual and practical understanding of one of the most widely used data structures in software engineering.

Module Artifacts — 9 items

Module Topics .json

Outlines the module's learning topics spanning hash table fundamentals (structure, key-value purpose, array-based design), hash function properties (determinism, uniform distribution, speed), and collision resolution strategies (chaining and open addressing), serving as a navigational overview for learners and instructors to understand the scope and sequence of the module.

Topic Detail .html

Introduces hash tables conceptually — explaining what they are, why they matter, and how they achieve fast storage and retrieval regardless of collection size — serving as a starting-point reading for learners new to the data structure.

Topic Detail .html

Explains how a hash table is built on top of a contiguous internal array — covering how buckets are indexed and how the array forms the foundation for O(1) operations — helping learners understand the underlying memory structure before exploring higher-level behavior.

Covers the design principles and required properties of hash functions — including how keys of various types are converted to array indices and what makes a hash function high-quality — so learners can evaluate and write effective hash functions for their implementations.

Topic Detail .html

Explains the chaining collision-resolution strategy — where colliding keys are stored together at the same bucket using a linked structure — so learners understand how to implement and reason about one of the most common approaches to handling hash collisions.

Explains open addressing as a collision-resolution strategy — covering probing techniques such as linear, quadratic, and double hashing that find alternative slots within the array when a collision occurs — so learners can compare it with chaining and understand its trade-offs.

Analyzes hash table time complexity — examining average-case and worst-case performance for insertion, deletion, and lookup, the role of load factor, and conditions that degrade efficiency — equipping learners and instructors with the tools to evaluate and tune hash table performance.

Walks learners through building a hash table from scratch in JavaScript using chaining or open addressing — demonstrating how insert, lookup, and delete operations are coded — serving as a hands-on coding reference that bridges conceptual understanding and practical implementation.

Walks learners through building a hash table from scratch in JavaScript using chaining or open addressing — demonstrating how insert, lookup, and delete operations are coded — serving as a hands-on coding reference that bridges conceptual understanding and practical implementation.

Topics & Learning Outcomes

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