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 major required courses, all track requirements and track selectives, 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 31100 and CS 41100	Competitive Programming 2 and 3 The combination of (CS31100 and CS41100) satisfy one elective
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 45800	Introductions to Robotics
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 35301, 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.