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Week
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Subjects
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Exercise
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Assignments*
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1
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Advanced manufacturing technologies
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Basics of Python programming
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LR 1
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2
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Smart manufacturing concept and trend
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1D data load/save/plot/filtering
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HW1
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3
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Industrial sensors for smart manufacturing
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Sensor data acquisition
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HW2
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4
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AI-powered machine vision
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Feature extraction from sensor signal
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HW3
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5
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AI-powered automation
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Feature-based supervised machine learning for signal classification
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HW4
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6
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Exam 1
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LR 2
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7
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Statistical analytics for manufacturing data
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Convolutional neural networks for signal classification
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HW5
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8
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Modeling manufacturing processes
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2D image data load/save/plot/filtering
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HW6
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9
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AI-powered predictive analytics
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Anomaly detection using pattern recognition
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HW7
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10
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Manufacturing Intelligence 1
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Anomaly detection using machine learning
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HW8
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11
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Manufacturing Intelligence 2
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Feature-based AM pore detection
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HW9
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12
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Exam 2 (10am-12pm, 11/13)
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LR 3, Project Proposal
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13
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Case Study 1 (11/20)
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CNN-based AM pore detection
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HW10, Project Proposal PPT
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14
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Case Study 2 (12/04)
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Project Review 1
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Project Report and PPT
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15
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Final Project Presentation (12/11)
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