Module outline:📋 Module Topics🎯 Student Learning Outcomes

COP3530 — Data Structures

3– Lists and Arrays: Algorithms and Operations

This module explores the foundational concepts behind lists and arrays, including how elements are stored and organized, how insertion and deletion operations affect performance, and how searching and traversal algorithms are applied. Use the resources below to navigate topic readings, interactive content, and supporting reference materials.

Module Artifacts — 8 items

Module Topics .json

A structured outline of the module's topics covering array fundamentals, insertion and deletion operations, and searching algorithms, used by learners and instructors to navigate and sequence the learning content.

Text Content .html

Introduces Big O notation and explains how to evaluate the time and space efficiency of algorithms as input size grows, serving as a conceptual reference learners read before or alongside coding exercises to understand why efficiency matters.

Topic Detail .html

Explains what lists and arrays are, how they store and organize multiple data items, and how they differ, giving learners a foundational reference to read before studying specific array operations and algorithms.

Topic Detail .html

Covers how inserting a new value into an array works at different positions (beginning, middle, and end), explains the shifting cost that re-indexing requires, and serves as a reading resource for learners analyzing the performance trade-offs of insertion.

Topic Detail .html

Explains how deleting elements from an array at various positions triggers internal re-indexing in JavaScript, describes the performance implications of different deletion scenarios, and is read by learners to understand the hidden cost of removal operations.

Topic Detail .html

Introduces linear and binary search algorithms, explains how each scans a data structure to locate a target value, and is used by learners to compare the conditions, steps, and efficiency of each searching approach.

Topic Detail .html

Explains systematic techniques for visiting every element in an array or list in a defined order, covering common loop-based and iterator-based traversal patterns that learners apply before implementing sorting, searching, or transformation operations.

Topic Detail .html

Introduces Big O notation and explains how to evaluate the time and space efficiency of algorithms as input size grows, serving as a conceptual reference learners read before or alongside coding exercises to understand why efficiency matters.

Topics & Learning Outcomes

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