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Video
Using UC Berkeley as an exemplar, Prof. Koshland gave us a distinguished lecture on ‘Lighting the Way with Interdisciplinary Research since 1868’. One of the hallmarks of UC Berkeley has always been engagement of its faculty and students in research and education that expand in cross disciplines, joining on multiple approaches to address major challenges facing the world today, which is also what we are seeking to do at PAIR of PolyU. Moreover, Prof. Koshland shared with us the ways in which individuals and institutions can engage in interdisciplinary and multi-disciplinary research and education and how they can be creatively intertwined.
Event Date: 22/4/2022
Speaker: Prof. Catherine P. Koshland (University of California, Berkeley)
Moderator: Prof. Christopher Chao (Hong Kong Polytechnic University)
Panel members: Prof. Xiang-dong Li, Prof. Yuguo Li (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Interdisciplinary research Interdisciplinary approach in education
- Resource Type:
- Video
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Video
Ms Shirley Chan, BBS, JP, Vice Chairman of YGM Trading Ltd. shared her insights on the trend of global fashion supply chain under the "New Normal".
Event date: 24/11/2020
Speaker: Ms Shirley Chan (Vice Chairman, YGM Trading Limited)
Facilitators: Dr Chris Lo (ITC), Dr Fan Di (ITC)
Hosted by: Institute of Textiles and Clothing
- Subjects:
- Fashion retailing and merchandising
- Keywords:
- Clothing trade COVID-19 Pemic (2020-) Clothing trade -- Technological innovations
- Resource Type:
- Video
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Video
This presentation will discuss the future of global universities within the evolving context of current international education systems. It will begin with an overview of the challenges posed to modern day universities by the breadth and diversity of international further education curricular between the ages of 16 and 18 and the accessibility of world leading universities to international students, in general. Having established potential global trends in further education, the implications for global universities and higher education will be discussed within the context of both teaching and research
Event Date: 17/05/2022
Speaker: Prof. David Cardwell (University of Cambridge)
Moderator: Prof. Christoper Chao (Hong Kong Polytechnic University)
Panel members: Prof. Wong Kwok-yin (Hong Kong Polytechnic University), Prof. Andrew Cohen (Hong Kong University of Science and Technology)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- International education Universities colleges -- Administration Education Higher
- Resource Type:
- Video
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Others
This project aims to study the exportation history of Hong Kong’s quality granite to the Pacific Rim and the construction history of those overseas projects using exported stones in the 19th and 20th century. The following five aspects are investigated:
The colonial government record in 1844 granite was shipped to mainland China. During 1850s and 1860s, granite blocks were exported to mainland China, New South Wales, San Francisco and Siam and used as building materials and paving slabs.
In 1852, the façade of Parrott Building in San Francisco was cladded with quality granite from Hong Kong. Twenty workers and two supervisors from Hong Kong boarded a cross-Pacific ship for the erection of this epoch-making building.
Between 1860 and 1870, granite was quarried in Kowloon, for the construction of the French Catholic Church in Canton. In 1890, the Gap Rock Lighthouse was built by a Hong Kong contractor using the granite from Hong Kong.
Between 1928 and 1933, quality granite was chosen in the projects of The Mausoleum in Nanjing, The Memorial Auditorium and the Memorial Cenotaph in Guangzhou in remembrance of Dr. SUN Yat-sen. These projects were designed by architect LU Yen-chih and constructed partly by contractors from Hong Kong.
- Subjects:
- Land Surveying and Geo-Informatics, Building and Real Estate, and Construction and Environment
- Keywords:
- China -- Hong Kong Granite Quarries quarrying
- Resource Type:
- Others
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MOOC
Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era.
- Subjects:
- Business Information Technology, Management, Computing, and Industrial and Systems Engineering
- Keywords:
- Big data Knowledge management
- Resource Type:
- MOOC
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Courseware
The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.
- Subjects:
- Electrical Engineering
- Keywords:
- Signal processing
- Resource Type:
- Courseware
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Courseware
This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.
- Subjects:
- Electrical Engineering
- Keywords:
- Electromagnetism
- Resource Type:
- Courseware
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Others
PubMed is a free resource supporting the search and retrieval of biomedical and life sciences literature with the aim of improving health–both globally and personally. The PubMed database contains more than 32 million citations and abstracts of biomedical literature. It does not include full text journal articles; however, links to the full text are often present when available from other sources, such as the publisher's website or PubMed Central (PMC). Available to the public online since 1996, PubMed was developed and is maintained by the National Center for Biotechnology Information (NCBI), at the U.S. National Library of Medicine (NLM), located at the National Institutes of Health (NIH).
- Course related:
- RS3731 Neurological Physiotherapy II
- Subjects:
- Rehabilitation Sciences, Medical Imaging, Biology, Health Sciences, Nursing, and Medicine
- Keywords:
- Dentistry Clinical medicine Biology Nursing Medicine
- Resource Type:
- Others
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Video
In this video playlist, you’ll learn how to create APA reference entries for different source types (books, journal articles, videos, etc.) and what to do with multiple authors or missing information. It’s simpler than you think!
- Keywords:
- Bibliographical citations
- Resource Type:
- Video
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Video
We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trust-region-like framework, our method preserves the convergence of the second-order method while using only Hessian-vector products in two directions. Moreover; the computational overhead remains comparable to the first-order such as the gradient descent method. We show that the method has a local super-linear convergence and a global convergence rate of 0(∈-3/2) to satisfy the first-order and second-order conditions under a commonly used approximated Hessian assumption. We further show that this assumption can be removed if we perform one step of the Krylov subspace method at the end of the algorithm, which makes DRSOM the first first-order-type algorithm to achieve this complexity bound. The applicability and performance of DRSOM are exhibited by various computational experiments in logistic regression, L2-Lp minimization, sensor network localization, neural network training, and policy optimization in reinforcement learning. For neural networks, our preliminary implementation seems to gain computational advantages in terms of training accuracy and iteration complexity over state-of-the-art first-order methods including SGD and ADAM. For policy optimization, our experiments show that DRSOM compares favorably with popular policy gradient methods in terms of the effectiveness and robustness.
Event date: 19/09/2022
Speaker: Prof. Yinyu Ye (Stanford University)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Nonconvex programming Mathematical optimization
- Resource Type:
- Video
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Video
Convex Matrix Optimization (MOP) arises in a wide variety of applications. The last three decades have seen dramatic advances in the theory and practice of matrix optimization because of its extremely powerful modeling capability. In particular, semidefinite programming (SP) and its generalizations have been widely used to model problems in applications such as combinatorial and polynomial optimization, covariance matrix estimation, matrix completion and sensor network localization. The first part of the talk will describe the primal-dual interior-point methods (IPMs) implemented in SDPT3 for solving medium scale SP, followed by inexact IPMs (with linear systems solved by iterative solvers) for large scale SDP and discussions on their inherent limitations. The second part will present algorithmic advances for solving large scale SDP based on the proximal-point or augmented Lagrangian framework In particular, we describe the design and implementation of an augmented Lagrangian based method (called SDPNAL+) for solving SDP problems with large number of linear constraints. The last part of the talk will focus on recent advances on using a combination of local search methods and convex lifting to solve low-rank factorization models of SP problems.
Event date: 11/10/2022
Speaker: Prof. Kim-Chuan Toh (National University of Singapore)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Semidefinite programming
- Resource Type:
- Video
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Video
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first review some recent development for adaptive methods with some application. Then, we will propose a deep adaptive sampling method for solving PDEs where deep neural networks are utilized to approximate the solutions. In particular, we propose the failure informed PINNs (FI-PINNs), which can adaptively refine the training set with the goal of reducing the failure probability. Compared with the neural network approximation obtained with uniformly distributed collocation points, the proposed algorithms can significantly improve the accuracy, especially for low regularity and high-dimensional problems.
Event date: 18/10/2022
Speaker: Prof. Tao Tang (Beijing Normal University-Hong Kong Baptist University United International College)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Sampling (Statistics) Differential equations Partial -- Numerical solutions Mathematical models Adaptive computing systems
- Resource Type:
- Video
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Video
Machine learning can deliver unprecedented performance. Its application domain has expanded into safety-critical cyber-physical systems such as UAVs and self-driver cars. However, the safety assurance of vehicular control has two conditions: 1) an analytical model of system behaviors such as provable stability, and 2) the software safety certification process (e.g., DO 178C) requires that the software be simple enough so that software safety can be validated by a combination of model checking and near exhaustive testing. Although ML software, as is, does not meet these two safety requirements, the real-time physics model supervised ML architecture holds the promise to 1) meet the two safety requirements and 2) enable ML software to safely improve control performance and safely learn from its experience in real-time. This talk will review the structure of the proposed architecture and some methods to embed physics into ML-enabled CPS control.
Event Date: 12/05/2022
Speaker: Prof. Lui Sha (University of Illinois Urbana-Champaign)
Hosted by: Graduate School
- Subjects:
- Aeronautical and Aviation Engineering and Computing
- Keywords:
- Machine learning Vehicles Remotely piloted Computer software -- Reliability Drone aircraft
- Resource Type:
- Video
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Video
Before the advent of computers around 1950, optimization centered either on small-dimensional problems solved by looking at zeroes of first derivatives and signs of second derivatives, or on infinite-dimensional problems about curves and surfaces. In both cases, "variations" were employed to understand how a local solution might be characterized. Computers changed the picture by opening the possibility of solving large-scale problems involving inequalities, instead of only equations. Inequalities had to be recognized as important because the decisions to be optimized were constrained by the need to respect many upper or lower bounds on their feasibility. A new kind of mathematical analysis, beyond traditional calculus, had to be developed to address these needs. It built first on appealing to the convexity of sets and functions, but went on to amazingly broad and successful concepts of variational geometry, subgradients, subderivatives, and variational convergence beyond just that. This talk will explain these revolutionary developments and why there were essential.
Event date: 1/11/2022
Speaker: Prof. Terry Rockafellar (University of Washington)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex functions Convex sets Mathematical optimization Computer science -- Mathematics
- Resource Type:
- Video
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MOOC
Understand the power of a luxury brand and gain the business skills needed to provide premium goods and services within the hotel and tourism industry
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Luxury goods industry Hospitality industry Luxuries Bring (Marketing)
- Resource Type:
- MOOC
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Others
DM Master is a gamification-based education Application. This is an interactive education tool to support you to learn more about Type 2 diabetes from a health professional perspective. The game has three levels: diagnosis of diabetes, its signs and symptoms, and common complications. You will also explore the goals and strategies of diabetes management, including healthy lifestyles and medications.
In this e-GAME environment, you will earn your virtual coins to enjoy digital shopping and exercises. The scoreboard shows your number of coins (your scores) and your ranking. Set a new score record and get your name on top of the ranking! You can also see the best rated food menu of the day in the ranking list. The DM Master Content is for informational and educational purposes only and is not a substitute for the professional judgment of a health care professional in diagnosing and treating patients.
- Course related:
- SN3490 Nursing Therapeutics 1 and 53455 Bachelor of Science in Nursing (BSN)
- Subjects:
- Nursing and Health Care, Education and Promotion
- Keywords:
- Diabetics
- Resource Type:
- Others
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Video
Come to this workshop to learn how to record your classes and then make them available to your students using uRewind (Panopto)
Event Date: 6/2/2022
Facilitator(s): KP Mark, Jason Chow
- Subjects:
- Assessment & Feedback
- Keywords:
- Web-based instruction Video recordings -- Production direction -- Study teaching Educational technology
- Resource Type:
- Video
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e-book
"A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports."--BC Campus website.
- Subjects:
- Computing and Mechanical Engineering
- Keywords:
- Textbooks Systems engineering
- Resource Type:
- e-book
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Others
Learners will examine the four steps to listen actively to improve relationships.
- Subjects:
- Management
- Keywords:
- Interpersonal relations Interpersonal communication Industrial management
- Resource Type:
- Others
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Video
Focusing on tensions and links between national formation and international outlooks, this talk shows how classical world visions persist as China’s modernizers and revolutionaries adopted and revised the Western nation-state and cosmopolitanism. The concepts of tianxia (all under heaven) and datong (great harmony) have been updated into outlooks of global harmony that value unity, equality, and reciprocity as strategies of overcoming interstate conflict, national divides, and social fragmentation. The talk will delve into two debates: the embrace of the West vs. aspirations for a common world, and the difference between liberal cosmopolitanism and socialist internationalism.
Even date: 16/9/2022
Speaker: Prof. Ban Wang
Hosted by: Confucius Institute of Hong Kong, Department of Chinese Culture
- Subjects:
- Chinese Studies
- Keywords:
- Civilization Diplomatic relations World politics China
- Resource Type:
- Video