College of Science and  Mathematics
Department of Computer and Computational Sciences

Minor in Computational Sciences

Computational science is an interdisciplinary field that combines mathematical and computing methods for solving complex real-world scientific, financial or societal problems through modeling, simulation, optimization, or visualization methods. This Computational Science minor offers students opportunities to study and apply scientific and mathematical techniques in various application fields. The minor in Computational Science will prepare students to solve complex problems by completing computational based projects that require intensive computational processes and high-performance computing tools.

Note: Computational Science should not be confounded with Computer Science which is the study of the theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems.

In addition to the General Education prerequisites, students must complete 23-26 credits with an average grade of C or higher.

 

Required courses

Prerequisites

Credits

CSC118 Programming II

CSC117

4

CSC242 Data Structure

CSC118

4

CSC 239 Scientific Computing

None

2

MAT261 Linear Algebra

MAT 241 (may be take concurrently)

4

Total

14

Select one of the following

Prerequisite

Credits

MAT325 Numerical Analysis

MAT261 (can be taken concurrently) and CSC117 (or knowledge of a programming language)

4

Or

MAT 352 Mathematical Modeling

MAT261(may be taken concurrently)

3

Total

3-4

Computational Science Minor Electives

Select at least 6 credits of the following:

Prerequisites

Credits

CSC317: Programming III

CSC242

3

CSC465: High Performance Computing (currently offered as a selected topic)*

CSC242

3

CSC361: Bioinformatics

BIO142 and CSC118 and MAT153, and

either (BIO 245 and BIO 223) or (8 credits of 200-level CSC courses) or (MAT 233 and MAT 261).

4

MAT352 Mathematical Modeling**

MAT 261

3

MAT325 Numerical Analysis**

MAT 261 and CSC 117

4

MAT346 Differential Equations

MAT 342 (may be taken concurrently)

4

CHE 341 Physical Chemistry I

MAT 242, and PHY 241

1

CHE 342 Physical Chemistry II

CHE 341

1

CSC466: Selective topic in Data Mining

CSC 332 or CSC 245

3

BIO 465, CHE465, MAT465, MBI465, PHY465-Selected topic in computational science as approved by the Chair of Computer and Computational Science in consultation with the Chair of the department of the student's major. Approval will be based on the coherence of the selected courses in preparing the student for work in a particular interdisciplinary area

2-4

SCI 497: Interdisciplinary Capstone seminar

BIO 397-398 or
CHE 397-398 or
CSC 397-398 or
MAT 397 or
MBI 397-398.

1

Total

6-8



For More Information Contact
Title Name
Dean Sandra Romano, Ph.D.
Department Chair Marc Boumedine, Ph.D.
Program Coordinator Marc Boumedine, Ph.D.
Administrative Assistant