Course introduction: Manufacturing informatics is an emerging discipline that studies the representation, perception, processing, computation, communication, storage, retrieval and reuse of information and knowledge in the context of a manufacturing environment. In the new generation of manufacturing systems, information is not only the dominant factor but also the most active driving factor. Improving the information processing ability of a manufacturing system has become a key point in the advance of the manufacturing industry. The main source of manufacturing information is knowledge, The expression, acquisition, transfer, transformation and fidelity mechanism of manufacturing experience, skills, know-how and knowledge will be the important research content of Manufacturing Informatics, and also the basis of intelligent manufacturing systems. The study of manufacturing informatics will help to tackle some of the latest challenges due to the data and information explosion that the industry is currently facing. Course Objectives: To provide an understanding of manufacturing informatics techniques and their applications. To provide an understanding of machine learning and data mining and their applications in manufacturing. To provide the knowledge of advanced manufacturing information and knowledge system. Course Content: 1. Introduction to Manufacturing Informatics 2. Manufacturing Digitization and Industry 4.0 3. Manufacturing Big Data 4. Machine Learning and Data Classification 5. Machine Learning and Performance Evaluation 6. Case Study – Mini KDD Project 7. Project Presentation