C S 235
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Data Structures and Algorithms
Computer Science
College of Computational, Mathematical, & Physical Sciences
Course Description
Fundamental data structures and algorithms of computer science; basic algorithm analysis; recursion; sorting and searching; lists, stacks, queues, trees, hashing; object-oriented data abstraction.
When Taught
Fall, Winter, Spring
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Title
Data Computing Fundamentals
Learning Outcome
Use the fundamental data types of computing (lists, stacks, queues, priority queues, sets, maps, trees, etc.).
Title
Implementing Fundamental Data Types
Learning Outcome
Understand the major techniques for implementing the fundamental data types (linked lists, binary search trees, hashing, heaps, etc.) and implement several of them.
Title
Select Data Structures
Learning Outcome
Properly use and select data structures from language-provided data-structure libraries.
Title
Analysis
Learning Outcome
Apply basic algorithm analysis.
Title
Recursion
Learning Outcome
Understand how recursion works and write programs using recursion to solve problems.
Title
Usage of Algorithms
Learning Outcome
Make informed decisions about which sorting and searching algorithms to use in specific circumstances.
Title
Program Writing
Learning Outcome
Write programs that require ~500 lines of code.
