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Level up your resume with these professional resume examples. These 1800+ resume samples will help you unleash the full potential of your career.
- Keywords:
- Applications for positions Job hunting Résumés (Employment)
- Resource Type:
- Others
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Video
The lecture commenced with a welcome speech by Prof. CHEN Qingyan, Director of PAIR, followed by a brief speaker introduction by Prof. Christopher CHAO, Vice President (Research and Innovation).
In his presentation, Prof. Brilakis first gave a brief introduction to digital twins (DT), pointing out that DT plays a central role in digital transformation. Next, he elaborated on the application of DT in the construction industry and explained how DT is involved in the planning, design, construction, maintenance and operation processes. He introduced research conducted at the University of Cambridge on inexpensive methods for generating object-oriented infrastructure geometry, detecting, and mapping visible defects on the resulting DT, automatically extracting defect spatial measurements, and sensor and sensor data modelling. Prof. Brilakis also provided examples of how these resulting DT are further exploited in design for manufacturing and assembly (DfMA), mixed-reality-enabled mobile inspection, and proactive asset protection from accidental damage. To conclude, Prof. Brilakis stated that DT, smart materials, data science, and automation & bobotics, constitute important digital assets for driving sustainability, and pointed out the future development directions in these areas.
A question-and-answer session moderated by Prof. DING Xiaoli, Director of the Research Institute for Land and Space (RILS), and Prof. WANG Yuhong, Member of RILS, followed. This session provided both the online and on-site audience with an opportunity to engage in a fruitful discussion with Prof. Brilakis.
Even date: 08/03/2024
Speaker: Prof. Ioannis BRILAKIS (University of Cambridge)
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Technology
- Keywords:
- Buildings -- Computer-aided design Digital twins (Computer simulation) Construction industry
- Resource Type:
- Video
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC
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MOOC
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- MOOC
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MOOC
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI
- Subjects:
- Computing
- Keywords:
- Artificial intelligence
- Resource Type:
- MOOC
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Others
This sequence is ideal for students or early data science professionals who want to strengthen their knowledge of fundamental probability and statistics concepts. Mastery of Mathematical Fundamentals is a prerequisite.
- Course related:
- AMA1110 Basic Mathematics I – Calculus and Probability & Statistics
- Subjects:
- Finance and Mathematics and Statistics
- Keywords:
- Probabilities Mathematical statistics Business mathematics
- Resource Type:
- Others
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Others
IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through its more than 396,000 members in over 160 countries, and its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing, and technology information around the globe.
- Course related:
- ENG1003 Freshman Seminar for Engineering
- Subjects:
- Electronic and Information Engineering and Electrical Engineering
- Keywords:
- Electronic engineering Automatic control. Electronics
- Resource Type:
- Others