Python Utilization in Advanced Manufacturing (Pages)

Python Utilization in Advanced Manufacturing LEARN-PRACTISE-IMPLEMENT@SIMTECH Organised by: Funded by:

Python programming skill is in extremely high demand in various industries involving data science and data analytics. With Industrial Internet of Things (IIoT) in manufacturing production environments generating voluminous amounts of data and progressively greater automated production techniques that require a strong knowledge & expertise of programming to manage the machines, having a good command of Python programming will be the key to deliver high performance to your organisations. About this Programme This course seeks to impart not knowledge but skills to write Python programs. In some sense, it is initializing the participants to the world of commanding computers to do enormous tasks rapidly for them in simple human-understandable codes. The key difference between Python and other proprietary Programmable Logic Controller (PLC) programming languages is that Python is free-of-charge, which reduces risk, cost of implementation and cost of running. Furthermore, it is open-sourced – no hidden codes, licensing fees, extra cost for upgrades of Python versions, etc – and also means the world-wide community and knowledge base that come with Python is freely available to you and your business. Who Should Attend This programme is designed for site engineers, supervisors, production planners, line managers, middle management, and any personnel involved in proper operations of factory lines or production facilities who should certainly be equipped with Python programming knowledge. In the light that university business degree undergraduates will be required to take up Python programming, it is strongly encouraged that the management also consider attending this course to gain a feel of what can be done with Python.

Course Outline Skills Course Reference Number: CRS-N-0051748 (16 training hours) This programme is delivered through a combination of both lectures as well as hands-on exercises to reinforce the concepts learnt. Participants also get to experience an actual production environment at the Model Factory@SIMTech to better understand how the concepts can be applied and achieve the following objectives: 1 23 Develop working Introduction to Develop basic knowledge and commonly used capability to drive ability about basic data science libraries Python in SCADA Python programming to perform data environment: structures analytics and • Internet Protocol visualization of data via Wifi or Ethernet from your factory, • ModBus Serial including: 9 Numpy 9 Pandas 9 Pyplot Course Fee and Funding • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$480 (before GST). • Employees fully sponsored by SMEs can claim an additional 20% of the full course fee with the Enhanced Training Support for SMEs Funding scheme, subject to approval by SSG. • Singaporeans aged 40 years and above can claim an additional 20% of the full course fee with the Mid-Career Enhanced Subsidy (MCES). • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only). • The full course fee before funding is S$1,600 (before GST). For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg

About the Trainers MrChinCheeKaiisanentrepreneur,educatorandengineer. Withthelogicmindset of an engineer, passion of an educator and spirit of an entrepreneur, Mr Chin has more than 10 years teaching experience with Nanyang Technological University (NTU)’s Nanyang Business School (NBS) and Nanyang Technopreneurship Centre (NTC). Mr Chin holds MBAs from Nanyang Technological University and Waseda University, and a Master of Science in Scientific Computing from Stanford University. Dr Edward Yapp is a Scientist at SIMTech. He has experience in mentoring and teaching, having even been invited to give lectures at Nanyang Technological University. His interest lies in the development of artificial intelligence techniques and their application to manufacturing. He holds a PhD in Chemical Engineering from the University of Cambridge and was awarded the Gates Cambridge Scholarship from the Bill & Melinda Gates Foundation. Dr Joel Tay is a Scientist from SIMTech with technical knowledge in logistics management and decision-making under uncertainty. He is an ACTA-certified trainer. Dr Tay holds a PhD in Operations Research from the Massachusetts Institute of Technology, and a MA(Cantab) in Mathematics from the University of Cambridge. He was awarded the National Science Scholarships in 2007 and 2011. When and Where Dates: Please visit our website at www.a-star.edu.sg/SIMTech/KTO for the course schedule. Time: 9.00am to 5.30pm Venue: Singapore Institute of Manufacturing Technology 2 Fusionopolis Way, Innovis, Level 8, Singapore 138634 Registration Please register online at www.a-star.edu.sg/SIMTech/KTO Contact Us For general enquiries, please contact: Mr Wong Ming Mao, Deputy Director Industry Development, at [email protected] For technical information, please contact: Dr Edward Yapp, Scientist, at [email protected] Scan the QR code for more information. 06/2020 This programme is part of the training portfolio offered under SIMTech Manufacturing Control Tower™ (MCT™) Programme.