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CSE Option

Computational Science and Engineering (CSE) option ComputationalScience2 

Computational Science and Engineering (CSE) is now an integral part of scientific research and engineering design in which large-scale, dynamic simulation and high-performance computing play a central role.  Students electing the CSE option become proficient in advanced computing methods as well as in one or more applied disciplines in science, engineering, mathematics or medicine.  The CSE option fosters and coordinates interdisciplinary, computationally-based research and education and prepares students to solve complex technological problems.  Graduates are highly sought by research and development focused industries, institutions and government laboratories.

Core Courses Requirements

The core curriculum for the CSE option includes 9 hours of foundational courses in Mathematical/Computational Methods and High Performance Scientific Computing plus enrollment in EAS/CSE seminars.  The latter courses are important to maintain cohesion within the group and to encourage exchange of ideas from a variety of perspectives.

Specialization Course Requirements

A minimum of 18 additional hours of coursework is required for post-baccalaureate students.  Course selection is based on the research and career goals of the student, and curricula will vary between students.  The coursework must include courses from at least two disciplines.  These courses are usually taken in mathematics, physics, engineering, or computer science.

Dissertation Research

This work is completed under the guidance of the students' faculty advisor. More information about faculty and research opportunities in the Scientific Computing group can be found here.

A typical curriculum plan for the CSE option is shown below.

Graduate Program Curriculum Outline

Computational Science and Engineering Option

 

Major Required (Core) Courses (Total # of courses required = 7)

Course Number

Course Title

Credit Hours

EAS 501

Advanced Mathematical Methods

3

EAS 502

Computational Methods

3

EAS 520

High Performance Scientific Computing

3

EAS 621

Scientific Computational Research Seminar

3

EAS 622

Scientific Computational Research Seminar

3

EAS 600

Dissertation Proposal Preparation

3

EAS 601/701

Doctoral Dissertation Research

27

EAS 602

Research Ethics

1

EAS 700

Doctoral Seminar

2

 

Subtotal # Core Credits Required

48

 

Elective Course Choices (Total courses required =6) (attach list of choices if needed)

MTH/PHY 500-600

3 x Major Electives (list attached)

9

COE/DIS 500-600

3 x Graduate Electives (Minor)

9

 

Subtotal # Elective Credits Required

18

Curriculum Summary

 

Total number of courses required for the degree

13

 

Total credit hours required for degree                             

66

 

Prerequisite, Concentration or Other Requirements:

Ph.D. Qualifying Examination (QE) and Comprehensive Exam:  Each student must pass a qualifying exam and a comprehensive exam on research preparedness prior to becoming a doctoral candidate.

 

 

Major Electives for Computational Science and Engineering Option

 

MTH 521

Numerical Methods for Ordinary Differential Equations

3

MTH 572

Numerical Solution of Partial Differential Equations

3

MTH 573

Numerical Linear Algebra

3

MTH 574

Numerical Optimization

3

PHY 521

Computational Physics

3

PHY 621

Advanced Mathematical Physics I

3

PHY 622

Advanced Mathematical Physics II

3

 

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