Master of Computational Engineering, Optimization, Machine Vision, and Decision Making Track
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | (9) | |
| Select nine credit hours from the following courses: | 9 | |
| Mathematical Methods in Biomedical Engineering | 3 | |
| Advanced Quantitative Physiology | 3 | |
| Entrepreneurship and Intellectual Property Management | 3 | |
| Computational Techniques in Engineering | 3 | |
| Applied Optimization for Engineers | 3 | |
| Analysis of Random Signals | 3 | |
| Machine and Deep Learning | 3 | |
| Computational Mathematics I | 3 | |
| Finite Element Method | 3 | |
| Finite Element Methods in Engineering | 3 | |
| Engineering Analysis I | 3 | |
| Engineering Analysis II | 3 | |
| Optimization, Machine Vision, and Decision Making Courses | (12) | |
| Select 12 credit hours from the following courses: | 12 | |
| Artificial Intelligence and Edge Computing | 3 | |
| Internet of Things and Cyber Physical Systems | 3 | |
| Robust Control | 3 | |
| Discrete Time Systems | 3 | |
| Artificial Intelligence in Smart Grid | 3 | |
| Computer Vision and Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Special Problems | 1-6 | |
| Elective Courses | (9) | |
| Select nine credit hours from the following courses: 1 | 9 | |
| Quantitative Neural Function | 3 | |
| Mathematical Methods in Biomedical Engineering | 3 | |
| Cell Biomechanics: Principles and Biological Processes | 3 | |
| Quantitative Aspects of Cell andTissue Engineering | 3 | |
| Introduction to Medical Devices, BioMEMS and Microfluidics | 3 | |
| Neuroimaging | 3 | |
| Advanced Quantitative Physiology | 3 | |
| Special Problems | 1-6 | |
| Finite Element Method of Analysis | 3 | |
| Computational Techniques in Finite Element Analysis | 3 | |
| Nonlinear Finite Element Analysis | 3 | |
| Special Problems | 1-6 | |
| Computational Techniques in Engineering | 3 | |
| Numerical and Data Analysis | 3 | |
| Entrepreneurship and Intellectual Property Management | 3 | |
| Technologies for Treatment of Diabetes | 3 | |
| Applications of Mathematics to Chemical Engineering | 3 | |
| Computational Techniques in Engineering | 3 | |
| Statistical Quality and Process Control | 3 | |
| Drug Delivery | 3 | |
| Special Problems | 1-6 | |
| Applied Optimization for Engineers | 3 | |
| Analysis of Random Signals | 3 | |
| Robust Control | 3 | |
| Discrete Time Systems | 3 | |
| Artificial Intelligence in Smart Grid | 3 | |
| Computer Vision and Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Special Problems | 1-6 | |
| Computational Mathematics I | 3 | |
| Finite Element Method | 3 | |
| Computational Mechanics II | 3 | |
| Finite Element Methods in Engineering | 3 | |
| Engineering Analysis I | 3 | |
| Engineering Analysis II | 3 | |
| Computational Fluid Dynamics | 3 | |
| Spectral Methods in Computational Fluid Dynamics | 3 | |
| Advanced Finite Element Methods | 3 | |
| Computational Methods in Materials Science and Engineering | 3 | |
| Project for Master of Engineering Students | 1-6 | |
| Special Topics | 1-6 | |
| Total Credit Hours | 30 | |
- 1
Course must not have been used towards the core course or specialization course requirements.
