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Course Description

This course will provide students to learn how to apply artificial intelligence (AI) and data science (DS) techniques to improve the efficiency of manufacturing systems. The models include genetic algorithm, neural network, feature selection, decision tree, etc. We need to read research literature to fill the gap between methodologies and practice. The course integrates the knowledge domains of the information and engineering, and solves the real problem systematically using the design of metaheuristic algorithms and statistics tools.


Course Objectives

1. Know the advanced techniques of intelligent manufacturing systems

2. Create theoretical model and the program to solve practical problems

3. System development and implementation

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