Computational Science and Engineering Track 2019

Objectives

This track introduces students to computational methods, systems, and algorithms useful for modeling complex problems in applications of science and engineering.

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 (5)

Course	Title
Math 26600  or Math 36600	Ordinary Differential Equations
CS 31400	Numerical Methods
CS 38100	Introduction to the Analysis of Algorithms
	Applications - 1 From the Following List
CS 37300	Data Mining and Machine Learning
CS 47300	Web Information Search and Management
CS 47800	Introduction to Bioinformatics
IE 33600	Operations Research - Stochastic Models
ECE 30100	Signals and Systems
	Systems - 1 From the Following List
CS 35200	Compilers: Principles and Practice
CS 35300	Principles of Concurrency and Parallelism
CS 35400	Operating Systems

Note: Any course beyond the one required class from the list of Applications/Systems courses also counts as an elective.

Electives (2)

Course	Title
CS 30700	Software Engineering I
CS 42200	Computer Networks
CS 45600	Programming Languages
CS 47100	Introduction to Artificial Intelligence
CS 48300	Introduction to the Theory of Computation
CS 51400	Numerical Analysis
CS 51500	Numerical Linear Algebra
CS 52000	Computational Methods In Optimization
CS 52500	Parallel Computing
IE 33500	Operations Research - Optimization
MA 34100	Foundations of Analysis
MA 44000	Honors Real Analysis I

Notes:

• At least four (4) of the seven (7) classes for this track must be CS classes.
• No course can be counted both for required and elective credit. This is true for all tracks.