MENG 6302 Industrial Analytics
Gathering, organizing, and processing data from an industrial process using computing technologies and solving data science problems play a vital role in the decision-making process for advanced manufacturing. This course assists students in exercising data science techniques in industrial scenarios. Designing, modeling, and simulating industrial systems and predicting using machine learning techniques such as regression models and Kernel density estimation (KDE) with programming language and simulation tools are discussed. Case studies using examples such as confectionary production will be illustrated.