Purdue University - Department of Computer Science - Algorithmic Foundations Track
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Algorithmic Foundations Track

Objectives

The Algorithmic Foundations track gives students a broad education on foundational concepts, tools, and techniques underlying existing and future areas of computer science.

All CS core courses, all track requirements, and their pre-requisites, regardless of department, must be completed with a grade of C or better.

 

Required Courses (3)
Course Title

CS 35200

or

CS 35400

Compilers: Principles and Practice

 

Operating Systems

CS 37300

or

CS 47100

Data Mining and Machine Learning

 

Introduction to Artificial Intelligence

CS 38100 Introduction to the Analysis of Algorithms

 

Electives (3)
Course Title
CS 31400 Numerical Methods
CS 33400 Fundamentals of Computer Graphics
CS 35300 Principles of Concurrency and Parallelism
CS 35500 Introduction to Cryptography
CS 44800 Introduction to Relational Database Systems
CS 45600 Programming Languages
CS 48300 Introduction to the Theory of Computation
  One 3-credit computer science course at the 300, 400, 500 level OR an independent study course approved by the track chair OR a math course from the following list; MA 34100, MA 35300, MA 36200, MA 36600, MA 38500, MA 42100, MA 45300

Note: One of CS 37300 or CS 47100 is needed as a required course; the other cannot be used to satisfy an elective.

Last Updated: Aug 2, 2019 9:51 AM

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