Master of Engineering in Chemical Engineering - Computational Informatics

Big data is arguably a major focus in the next round of the transformation of information technology in industry. With the recent development of the Internet of Things, wireless sensors, clouds, mobile devices, e-commerce, and smart manufacturing, the amount of data collected and stored has grown exponentially. Manufacturing process operation databases are massive because of the use of process operation and control computers and information systems. The diversity of process measurement technologies from conventional process sensors to images, videos, and indirect measurement technologies has compounded the variety, volume, and complexity of process big data. The Computer Informatics focus path lies at the interface between process engineering and data science (or informatics). It teaches students data analytics skills to derive knowledge and information from mass process data, as well as decision-support tools for solving real operation problems in the era of big data. Two courses (?CHEME 6800: Computational Optimization? and ?CHEME 6880: Industrial Big Data Analytics and Machine Learning?) are specially designed and developed for this focus path and train students with relevant methodologies and skills.

• 獎學金 - 查看所有獎學金
• 實習機會