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Computational Engineering Specialization

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●  Does your company have computing problems that seem to defy solution?

●  Are teams struggling to solve computational problems and deliver breakthrough designs?

●  Could you perform at a higher level with increased computational skills?

Achieving Innovative Computing Solutions
Engineering Professional Education (ProEd) delivers the solution you need to address computational challenges at your workplace with the launch of an online specialization in Computational Engineering. This valuable academic focus is offered as part of our highly flexible, interdisciplinary MSE / MS degree option.

The specialization is also available to online students from these participating departments: Aeronautics and Astronautics (MSAAE); Electrical and Computer Engineering (MSECE); and Mechanical Engineering (MSME). Students pursuing these degrees are admitted by the respective departments and take all their courses through ProEd.

Enhance Your Credentials
Designed to provide working professionals with the added skills and knowledge it takes to gain a competitive edge in their industry, this specialization is ideal if you:

●  Have a strong interest in computation and its applications to engineering
●  Have interest in leading computational problem solving in multidisciplinary teams
●  Are a leader in your industry looking to solve complex computing problems and drive innovative solutions

What One Student Says About Computational Engineering
“My computational engineering skills are light years ahead of where they were before I completed CS&E classes at Purdue. The exposure to other applications than mine also helps me understand what other people are doing computationally.”

Matthew Churchfield
Current CS&E Ph.D. student
Aeronautics and Astronautics

Flexibility For Busy Professionals
If you’re seeking to expand your credentials without disrupting your career, Purdue’s distance learning is the ideal answer. Taking classes on demand over the Internet provides the opportunity to pursue your degree on your schedule while working full-time in industry.

Computational Engineering classes are available primarily via streaming video over the Internet.

Select courses are available via Webcast or DVD.

Getting Started
ProEd delivers online engineering master’s degrees in 30 credits (10 courses) with no thesis required. Before selecting a degree option, please review descriptions for the MSE / MS and these degrees: MSAAE, MSECE, and MSME. requirements differ by department.

Once admitted, students work with an advisory committee to develop a plan of study. Applications for the Computational Engineering specialization must be approved by the CS&E program and the home department. The application form and instructions for completing it are available on the CS&E website.

The plan of study must contain a total of three courses* from the CS&E field of which two are CS&E core courses, plus a third course chosen from the CS&E relevant course list** below :

CS&E Core Areas
The core CS&E courses offered online are:

Introduction to CS&E
● CS 50100: Introduction to CS&E (required for all distance students and recommended first course)

Computational Mathematics
● ME 58100: Numerical Methods

Computational Optimization
● ECE 58000: Computational Optimization Methods for Systems and Control

Interdisciplinary Focus Meets
Industry Needs

Introduction to Computational Science (CS 50100)

The objective of this course is to familiarize students from various disciplines with the science of problem solving. Provides an overview of computational science and engineering including: study of existing computational environments; software and systems infrastructure for building computational environments; high performance computing; and case studies. A project is required.

CS&E Relevant Courses
Choose one course from the following:

AAE 50800 Optimization in Aerospace Engineering
AAE 51200 Computational Aerodynamics
AAE 53200 Orbital Mechanics
AAE 55000 Multidisciplinary Design Optimization
AAE 55800 Finite Elements Methods in Aerospace Engineering
AAE 62600 Mathematical Theory of Turbulence
CE 59700 (CE 503) Digital Photogrammetric Systems
CE 59700 (CE 506) Adjustment of Geospatial Observations
CE 59700 (CE 603) Exploitation of Spaceborne Imaging Systems
ECE 58000 Optimization Methods for Systems and Control
ECE 60000 Random Variables and Signals
ECE 60800 Computational Models and Methods
ECE 63300 Computational Methods for Power System Components
ECE 63700 Digital Image Processing
IE 53500 Linear Programming
IE 63200 Scheduling Models
IE 63400 Integer Programming
MA 51100 Linear Algebra with Applications
ME 57900 Fourier Methods in Digital Signal Processing
ME 58100 Numerical Methods in Mechanical Engineering
ME 61400 Computational Fluid Dynamics
STAT 51400 Design of Experiments

*For a complete list of courses available online (by semester or by school/topic) go to Courses

**Additional course options for the Computational Engineering specialization are under development and will be added as they become available.

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