Data Science in Mechanical Engineering
Requirements
| Data Science in Mechanical Engineering | ||
| Core Requirements | 9 hrs from | *(1) CS 6140 Data Mining |
| *(2) CS 6350 Machine Learning | ||
| *(3) CS 6355 Structured Prediction | ||
| MATH 5010 Introduction to Probability | ||
| CS 6190 Probabilistic Modeling | ||
| CS 6230 Parallel Computing | ||
| Focus Electives | 6 hrs from | MATH 5740 Mathematical Modeling |
| MATH 6010 Linear Models | ||
| MATH 6020 Multilinear Models | ||
| MATH 6790 Case Studies in Comp Eng & Sci | ||
| CS 6300 Artificial Intelligence | ||
| CS 6635 Visualization of Scientific Data | ||
| CS 6955 Deep Learning | ||
| CH EN 7703 Bayesian Model Validation | ||
| CS 7960 Models of Comp for Massive Data | ||
| ME Electives | 9 hrs | Any |
| Math Sci Engin Electives | 6 hrs | Any |
*(#) = Recommended Sequence
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