Master of Computational Engineering, Optimization, Machine Vision, and Decision Making Track

Curriculum

Core Courses (9)
Select nine credit hours from the following courses:9
Mathematical Methods in Biomedical Engineering3
Advanced Quantitative Physiology3
Entrepreneurship and Intellectual Property Management3
Computational Techniques in Engineering3
Applied Optimization for Engineers3
Analysis of Random Signals3
Machine and Deep Learning3
Computational Mathematics I3
Finite Element Method3
Finite Element Methods in Engineering3
Engineering Analysis I3
Engineering Analysis II3
Optimization, Machine Vision, and Decision Making Courses (12)
Select 12 credit hours from the following courses:12
Artificial Intelligence and Edge Computing3
Internet of Things and Cyber Physical Systems3
Robust Control3
Discrete Time Systems3
Artificial Intelligence in Smart Grid3
Computer Vision and Image Processing3
Machine and Deep Learning3
Statistical Signal Processing3
Special Problems1-6
Elective Courses (9)
Select nine credit hours from the following courses: 19
Quantitative Neural Function3
Mathematical Methods in Biomedical Engineering3
Cell Biomechanics: Principles and Biological Processes3
Quantitative Aspects of Cell andTissue Engineering3
Introduction to Medical Devices, BioMEMS and Microfluidics 3
Neuroimaging3
Advanced Quantitative Physiology3
Special Problems1-6
Finite Element Method of Analysis3
Computational Techniques in Finite Element Analysis3
Nonlinear Finite Element Analysis3
Special Problems1-6
Computational Techniques in Engineering3
Numerical and Data Analysis3
Entrepreneurship and Intellectual Property Management3
Technologies for Treatment of Diabetes3
Applications of Mathematics to Chemical Engineering3
Computational Techniques in Engineering3
Statistical Quality and Process Control3
Drug Delivery3
Special Problems1-6
Applied Optimization for Engineers3
Analysis of Random Signals3
Robust Control3
Discrete Time Systems3
Artificial Intelligence in Smart Grid3
Computer Vision and Image Processing3
Machine and Deep Learning3
Statistical Signal Processing3
Special Problems1-6
Computational Mathematics I3
Finite Element Method3
Computational Mechanics II3
Finite Element Methods in Engineering3
Engineering Analysis I3
Engineering Analysis II3
Computational Fluid Dynamics3
Spectral Methods in Computational Fluid Dynamics3
Advanced Finite Element Methods3
Computational Methods in Materials Science and Engineering3
Project for Master of Engineering Students1-6
Special Topics1-6
Total Credit Hours30
1

Course must not have been used towards the core course or specialization course requirements.