Search Constraints

Number of results to display per page
Results for: Polyu oer sim No Remove constraint Polyu oer sim: No

Search Results

  • 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
     
  • Others 
    GitHub Complete Web Developer ManualAll resources and notes from the Complete Web Developer in 2022: Zero to Mastery course

    GitHub Complete Web Developer ManualAll resources and notes from the Complete Web Developer in 2022: Zero to Mastery course

    All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course

    Course related:
    COMP3421 Web Application Design and Development, LGT3109 Introduction to Coding for Business with Python, COMP3211 Software Engineering, and COMP1001 Problem Solving Methodology in Information Technology
    Subjects:
    Computing
    Keywords:
    Web sites -- Design Web site development
    Resource Type:
    Others
     
  • Others 
    Kaggle

    Kaggle

    Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence Big data
    Resource Type:
    Others
     
  • Courseware 
    Green Supply Chain Management

    Green Supply Chain Management

    The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy. Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Business logistics Industrial management
    Resource Type:
    Courseware
     
  • e-book 
    Process Management

    Process Management

    The content of the book has been structured into four technical research sections with total of 18 chapters written by well recognized researchers worldwide. These sections are: 1. process and performance management and their measurement methods, 2. management of manufacturing processes with the aim to be quickly adaptable after real situation demands and their control, 3. quality management information and communication systems, their integration and risk management, 4. management processes of healthcare and water, construction and demolition waste problems and integration of environmental processes into management decisions.

    Subjects:
    Management and Industrial and Systems Engineering
    Keywords:
    Industrial management Workflow -- Management
    Resource Type:
    e-book
     
  • e-book 
    Industrial Engineering

    Industrial Engineering

    This book presents the current state of the art of industrial engineering and provides useful information to those who wish to optimize their business practices while increasing customer service and quality.

    Subjects:
    Management and Industrial and Systems Engineering
    Keywords:
    Industrial management Industrial engineering Workflow -- Management
    Resource Type:
    e-book
     
  • Courseware 
    Leadership for Engineers

    Leadership for Engineers

    Many of today’s global challenges require tech-driven solutions — climate change, the growth of the world population, cyber security, the increasing demand for scarce resources, digitalization, the transition from fossil fuels to renewable energy. With this in mind, it is no surprise that one fourth of the CEOs of the world’s 100 largest corporations have an engineering degree. Solving these global problems requires leaders who, in the first place, are comfortable with technology, models and quantitative analyses — Leaders who see systems instead of isolated problems. However, simply understanding technology is not enough. Successful leaders today must have both the ideas and the know-how to put these ideas into action by working collaboratively with others, winning their hearts and minds. We need leaders who know how to seize opportunities in a networked world, and can mobilize people and other stakeholders for large-scale change. Leaders who lead fulfilling lives and who are able to move themselves and others from the ‘me’ to the ‘we’. Leaders who are long-term oriented and who deliver economic profit, while also making positive contributions to society and the environment. We call these leaders ‘sustainable leaders’. This course has three parts: - In the first part, you will explore the context that leaders are facing, building an understanding of the complexities of global and business challenges. You will discover the ambiguities and the many stakeholders that leaders must consider when making their choices. You will get a sense of effective leadership practices. - In the second part, you will discover your “who am I” through personal and group exercises. You will create a “Personal Charter” that can serve as a life-long guide, helping you, as a leader, to make important choices in your personal and professional life. - In the third part, we will bring the knowledge of the context and yourself together. We will translate the insights of this course into a leadership model and you will discover what sustainable leaders do. We will offer you frameworks to help you make your own career choices. We will finally help you to ‘sell’ yourself as a leader.

    Subjects:
    Management
    Keywords:
    Leadership Engineering -- Management Engineers
    Resource Type:
    Courseware
     
  • Courseware 
    Introduction to Manufacturing Systems

    Introduction to Manufacturing Systems

    This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Manufacturing processes Production planning Production engineering
    Resource Type:
    Courseware
     
  • Courseware 
    Logistics and Supply Chain Management

    Logistics and Supply Chain Management

    This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Industrial management
    Resource Type:
    Courseware
     
  • Courseware 
    ESD.60 Lean/Six Sigma Processes

    ESD.60 Lean/Six Sigma Processes

    Students of this course will develop a broad understanding of Lean/Six Sigma principles and practices, build capability to implement Lean/Six Sigma initiatives in manufacturing operations, and learn to operate with awareness of Lean/Six Sigma at the enterprise level. All course materials are organized around a common "single-point lesson" (SPL) format, with some of the SPLs provided by the instructor and guests and with some developed and delivered by student teams.

    Subjects:
    Management and Computing
    Keywords:
    Quality control Six sigma (Quality control stard)
    Resource Type:
    Courseware
     
    OER