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  • MOOC 
    Machine Learning Specialization

    Machine Learning Specialization

    The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
    This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
    This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
    It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

    Course related:
    AAE5103 Artificial Intelligence in Aviation Industry
    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence
    Resource Type:
    MOOC
     
  • Video 
    Two-Dimensional Quantum Materials: From Pure Inorganic To Organic-inorganic Hybrid

    Two-Dimensional Quantum Materials: From Pure Inorganic To Organic-inorganic Hybrid

    In this video, it covers the topic of (1).2D layered transition metal dichalcogenides; (2) Theoretical study on opto-electronic properties of 2D materials; and (3) Molecularly thin 2D quantum ruddlesden-popper perovskites.FAST is organizing the Research at FAST Seminar Series 2021/22 in the coming months to explore collaboration opportunities within PolyU community. The series also serve as a platform for colleagues to get to know FAST researchers.

    Subjects:
    Electronic Engineering and Materials Science
    Keywords:
    Two-dimensional materials Quantum chemistry
    Resource Type:
    Video
     
  • MOOC 
    Interdisciplinary Innovations for Population Ageing (Second Run)

    Interdisciplinary Innovations for Population Ageing (Second Run)

    Population ageing is a global phenomenon profoundly affecting the well-being of communities. Disciplines such as Social Sciences, Design, and Engineering offer unique, insightful innovations for ageing societies. Along with providing solutions catering to their professional niche, these disciplines achieve creative and practical innovations through interdisciplinary collaboration. This course intends to explore and examine the process of incubating innovations in these three disciplines and help the learners to appreciate the synergy created when working toward innovations by adopting an interdisciplinary approach.

    Subjects:
    Social Sciences
    Keywords:
    Older people -- Government policy Older people -- Services for Technology older people Ageing
    Resource Type:
    MOOC
     
  • e-book 
    Business Information Systems: Design an App for That

    Business Information Systems: Design an App for That

    We set out to design an introductory course governed by four themes: Give students a good idea of what a career in MIS looks like by doing MIS. Enhance the professionalism of deliverables by teaching design and usability concepts. Promote creativity by assigning projects that demand it. Teach students about cloud computing by having them do cloud computing. Students in an introductory Management Information Systems (MIS) course often ask what a career in MIS looks like. Lacking a clear vision, they make their own assumptions. Often they assume the career involves programming with little human interaction. That MIS is a technical field could not be further from the truth. MIS job descriptions typically require candidates to be able to collaborate, communicate, analyze needs and gather requirements. They also list the need for excellent written and communication skills. In other words, MIS workers are constantly interacting with other people both inside and outside the organization. They are coming up with creative solutions to business problems. This course is designed to help students get a feel for what a career in MIS would be like. Our students report that they learn more about information systems from their internships than from their IS courses. Consequently, we designed a course that looks very much like an internship—an introduction to the field followed by a substantial project. Chapter 1 begins by introducing the information systems landscape. Here we discuss all the usual suspects: the information systems triangle, the systems development life cycle, transaction systems (ERP, SCM, CRM), collaboration systems, and business intelligence systems. Other aspects of the landscape such as usability, outsourcing, database concepts and so forth are introduced throughout chapter in Chapter 2 where they fit in naturally with the flow of the project. Chapter 2 is the substantial project which runs over a number of chapters. Over the course of the semester, students plan, build, and develop a proposal for an iPhone application. They develop a very realistic mockup. They also build a website to help market and support the app. Students are engaged because the project is fun and feels real. However, they are simultaneously learning business concepts and MIS skills. Prior to the existence of this course, we were only able to give such an interesting project at the senior level. Now, even as freshmen, students have a real experience of MIS in operation. A by product of creating an engaging course is increased enrollment in the MIS major. Even students who have never heard of MIS become excited about the major and either switch majors or add it as a double major or minor. Many other books have students study tools and then do a case. By contrast, most of this book is a case. Much like the real world, we introduce tools when needed, and only to the extent needed, to get at each part of the case.

    Subjects:
    Industrial and Systems Engineering and Computing
    Keywords:
    Business information services Management information systems Textbooks Application software -- Development
    Resource Type:
    e-book
     
  • Courseware 
    ArchiStar Academy

    ArchiStar Academy

    ArchiStar Academy has world class software and training for architects, engineers and universities students.

    Subjects:
    Computing
    Keywords:
    Design Technology
    Resource Type:
    Courseware
     
  • MOOC 
    Video Game Design: Teamwork & Collaboration

    Video Game Design: Teamwork & Collaboration

    Game designers work with a wide range of asset creators, programmers, producers, and others to bring a video game from concept to product. In this course, you will learn about the different types of teams a game designer is a member of, both large and small.

    Subjects:
    Interactive and Digital Media and Computing
    Keywords:
    Video games -- Design
    Resource Type:
    MOOC
     
  • MOOC 
    Decision-Making for Autonomous Systems

    Decision-Making for Autonomous Systems

    In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Decision making Automobiles -- Design construction Automated vehicles
    Resource Type:
    MOOC
     
  • MOOC 
    Multi-Object Tracking for Automotive Systems

    Multi-Object Tracking for Automotive Systems

    Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Automobiles -- Design construction Computer vision Automated vehicles
    Resource Type:
    MOOC
     
  • Presentation 
    ERP-systems for SMEs in Ukraine, Best Practices

    ERP-systems for SMEs in Ukraine, Best Practices

    This video was recorded at Workshop on Advanced IT Solutions and Competitiveness of SMEs, Lviv 2006. It is generally recognized that the competitiveness of SMEs in the present-day business environment ultimately relies upon effective implementation of the most up-to-date information technologies. However, the Ukrainian IT space is characterized with highly noticeable information gap between IT-saturated export-oriented software development companies and ordinary businesses or governmental agencies. The seminar has provided perfect platform for the interaction between local SMEs, communicating their IT needs, and IT service providers like Intellias, briefing on their enterprise-based IT offerings. The seminar has assembled insightful speakers from Ukrainian and international IT companies, as well as representatives from research institutions, consulting firms and IT experienced SMEs. The case studies from Western Ukrainian companies, possessing experience in implementation of IT solutions in industrial process, have illustrated emerging difficulties in aligning IT automated process with qualifications and professional level of the involved personnel. The practical aspects of introducing ERP systems for optimization of production process have been presented by Vitaly Pyasetsky (Lvivkholod public corporation) and Andriy Tsehelyk (Enzyme joint-stock company). The discussion has further focused on the international experience of the implementation of the information technologies as well as networking and partnership practices. Valuable contributions to the topic has been made by Maria-Luisa Sanseverino E4 Project Coordinator from Centro Ricerche Fiat and Patric Sitek from Bremen Institute of Industrial Technology and Applied Work Science. Particular emphasis has been placed on the E4 Project: Extended Enterprise Management in Enlarged Europe including collaboration initiatives and close involvement of the Eastern European enterprises within its framework. The discussion has been reinforced by the case study on Ivano Frankivsk business portal, assembling best practices from abroad business development agencies.

    Subjects:
    Management and Computing
    Keywords:
    Enterprise resource planning Small business Ukraine Management information systems
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks

    Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks

    This video was recorded at 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington 2010. Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how to efficiently discover, collect, organize, search and disseminate real-time disaster information. In this paper, we address several key problems which inhibit better information sharing and collaboration between both private and public sector participants for disaster management and recovery. We design and implement a web based prototype implementation of a Business Continuity Information Network (BCIN) system utilizing the latest advances in data mining technologies to create a user-friendly, Internet-based, information-rich service and acting as a vital part of a company's business continuity process. Specifically, information extraction is used to integrate the input data from different sources; the content recommendation engine and the report summarization module provide users personalized and brief views of the disaster information; the community generation module develops spatial clustering techniques to help users build dynamic community in disasters. Currently, BCIN has been exercised at Miami-Dade County Emergency Management.

    Subjects:
    Management and Computing
    Resource Type:
    Presentation
     
    OER