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Master of Computational Engineering

Students who thrive on solving complex equations and are energized by delving into computer simulations and mathematical algorithms would be a good fit for the Master of Computational Engineering program. This new and growing multidisciplinary field offers career possibilities ranging from calculating the trajectory of satellites to designing aircraft to simulating molecular mechanics. Students will learn computational methodologies, tools, analysis, processing, and modeling capabilities that are central to succeeding in this dynamic engineering field. 

The Master of Computational Engineering requires a minimum of 30 credit hours. Students must take 3 courses from the below list of core courses. In addition, students must choose one of the following specializations: (a) Computational Mechanics, (b) Computational Chemical Engineering, (c) Biomedicine, or (d) Optimization, Machine Vision, and Decision Making. Students are required to take 4 courses in their chosen specialization. The remaining 3 remaining courses are electives and may be selected from the below lists of courses. The selection of elective courses requires advisor approval in the area of your specialization.

Course Requirements

Core Courses

Students must take 3 courses from the below list of core courses.

ECE 505 Applied Optimization for Engineers
ECE 511 Analysis of Random Signals
MMAE 501 Engineering Analysis I
MMAE 502 Engineering Analysis II
MMAE 451 Finite Elements Methods in Engineering
MMAE 532 Advanced Finite Element Methods
CHE 506 Entrepreneurship and Intellectual Property Management
CHE 536 Computational Techniques in Engineering
Math 577 Computational Mathematics I
Math 581 Finite Element Method
BME 553 Quantitative Physiology
BME 522 Mathematical Methods for BME

Specializations

Students are required to take 4 courses in their chosen specialization.

Computational Mechanics

MMAE 450 Computational Mechanics-II
MMAE 517 Computational Fluids
MMAE 518 Spectral Methods
MMAE 570 Computational Methods for Materials
MMAE 532 Finite Element Methods
CAE 530 Finite element method of analysis
CAE 534 Computational techniques in FE analysis
CAE 535 Nonlinear finite element analysis
CHE 536 Computational Techniques in Engineering
CHE 560 Statistical Quality and Process Control (MMAE 560)
MMAE 597 Special Project
CAE 597 Special Project

Computational Chemical Engineering

CHE 439 Numerical and Data Analysis
CHE 535 Application of Mathematics to Chemical Engineering
CHE 536  Computational Techniques in Engineering
CHE 597 Special Project 

Biomedicine

BME 445 Quantitative Neural Function
BME 523 Cell Biomechanics
BME 524 Quant. Aspects Cell & Tissue Engineering
BME 525 Microfluidics for Biomedical Engineers
BME 538 Neuroimaging
BME 597  Special Project
ECE 565 Computer Vision and Image Processing
CHE 585 Drug Delivery
CHE 516 / BME 517 Technologies for Treatment of Diabetes

Optimization, Machine Vision, and Decision Making

ECE 533 Robust Control
ECE 535 Discrete-Time Systems
ECE 563 Computational Intelligence in Engineering
ECE 565 Computer Vision and Image Processing ECE 566 Statistical Pattern Recognition
ECE 567 Statistical Signal Processing
ECE 597 Special Project