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Data Analytics and Artificial Intelligence
for Manufacturing Engineers

Date: 8-10 March 2023

Duration: 21 Hours

Mode Of Delivery: Online

Tuition Fees: S$2850.00 (Before GST)

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What You Will Learn

With the advent of Industry 4.0, modern day manufacturing facilities are increasingly equipped with smart technologies that allow for large data collection, efficient data sharing, advanced analytics and increased automation. In this course, we introduce basic concepts in data analytics and artificial intelligence with a focus on applications that engineers commonly deal with under a manufacturing setting, including inventory management, quality control and predictive maintenance.

Who Will Benefit

Equipment/automation engineers, manufacturing process engineers

Instructor

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Dr. Tan Chin Hon

Dr. TAN Chin Hon is Deputy Head (Undergraduate Programmes) at the Department of Industrial Systems Engineering and Management, NUS. ​ He received his MS and PhD in Industrial and Systems Engineering at the University of Florida and his BEng in Industrial and Systems Engineering at NUS. ​ He is currently serving as area editor (Economic Decision Analysis) for the Engineering Economist. His research interests include decision analysis, stochastic dominance and predictive analytics.

Entry Requirements

A basic background in mathematics, statistics and probability is assumed. Basic familiarity with Microsoft Excel is also expected. This course will involve simple Python programming. Prior computer programming experience is helpful, but not required.

Available Discounts and Benefits

2850

Notes
Course Code: TGS-2020505954

*Learners must fulfill at least 75% attendance and pass all assessment components, to be eligible for SSG funding.

**Please note that the mode of delivery is subject to change in light of the COVID-19 situation.

Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

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