MSE 3006 Machine Learning and Data Science in Materials Engineering 4.0 Credits
Covers statistical methods for the analysis and interpretation of numerical data in materials science and engineering. Students will also be exposed to the data mining and machine learning techniques applied in materials science and engineering. The course will emphasize providing students fruitful hands-on experience of commonly used platforms to perform (big) data analysis and solve materials-relevant problems.
Repeat Status: Not repeatable for credit
Prerequisites: MSE 2001 [Min Grade: D] and (CS 1020 [Min Grade: D] or ECE 1210 [Min Grade: D]) or MATE 220 [Min Grade: D] and (ENGR 131 [Min Grade: D] or ENGR 132 [Min Grade: D] or CS 171 [Min Grade: D])