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  • Courseware 
    Citizens Co-creating Sustainable Cities

    Citizens Co-creating Sustainable Cities

    Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability. Citizens can be co-creators of sustainable cities when they engage in city politics or in the design of the urban environment and its technologies and infrastructure. In addition, citizens influence and are influenced by the technologies and systems that they use every day. Sustainability is thus a result of the interplay between technology, policy and people’s daily lives. Understanding this interplay is essential for creating sustainable cities. In this MOOC, we zoom in on Amsterdam, Beijing, Ho Chi Minh City, Nairobi, Kampala and Suzhou as living labs for exploring the dynamics of co-creation for sustainable cities worldwide. We will address topics such as participative democracy and legitimacy, ICTs and big data, infrastructure and technology, and SMART technologies in daily life. This global scope will be used to illustrate why specific forms of co-creation are preferred in specific urban contexts. Moreover, we will investigate and compare these cities on three themes that have a vast effect on city life: - Water and waste - Energy, air, food and mobility - Green spaces and food This MOOC will teach you about the dynamics of co-creation and the key principles of citizens interacting with service providing companies, technology and infrastructure developers, policy makers and researchers. You will gain an understanding of major types of co-creation and their interdependency with their socio-technical and political contexts. You will become equipped to indicate how you can use co-creation to develop innovative technologies, policy arrangements or social practices for a sustainable city in your own community. You will demonstrate this by developing an action plan, research proposal or project idea. Basic knowledge of sustainability in urban settings, urban environmental technology and urban management is assumed.

    Subjects:
    Environmental Engineering, Building Services Engineering, and Building and Real Estate
    Keywords:
    Sustainable development Sustainable development -- Citizen participation City planning
    Resource Type:
    Courseware
     
  • Courseware 
    Irrigation and Drainage

    Irrigation and Drainage

    The course will discuss the objectives and functions of water management systems for irrigation and drainage purposes. Analysing system requirements in terms of technical engineering constraints, management possibilities and water users (wishes and options) is central. This includes the design and operation of regulation structures, dams, reservoirs, weirs and conveyance systems; balancing water supply and water requirements in time and space is a main focus of analysis too.

    Subjects:
    Hydraulic Engineering
    Keywords:
    Drainage -- Management Irrigation -- Management
    Resource Type:
    Courseware
     
  • MOOC 
    Future Cities

    Future Cities

    Understanding a city as a whole, its people, components, functions, scales and dynamics, is crucial for the appropriate design and management of the urban system. While the development of cities in different parts of the world is moving in diverse directions, all estimations show that cities worldwide will change and grow strongly in the coming years. Especially in the tropics over the next 3 decades, it is expected that the number of new urban residents will increase by 3 times the population of Europe today. Yet already now, there is an extreme shortage of designers and urban planners able to understand the functioning of a city as a system, and to plan a sustainable and resilient city. To answer questions like: Which methods can contribute to the sustainable performance of a city, and how can we teach this to the next generations, the ETH Future Cities Laboratory in Singapore has produced over the last 3 years many necessary research results. “Future Cities” aims to bring these latest results to the places where they are needed most. The only way to better understand the city is by going beyond the physical appearance and by focusing on different representations, properties and impact factors of the urban system. For that reason, in this course we will explore the city as the most complex human-made “organism” with a metabolism that can be modeled in terms of stocks and flows. We will open a holistic view on existing and new cities, with a focus on Asia. Data-driven approaches for the development of the future city will be studied, based on crowdsourcing and sensing. At first, we will give an overview of the components and dynamics of the future cities, and we will show the importance of information and information architecture for the cities of the future. The course will cover the origins, state-of-the-art and applications of information architecture and simulation. “Future Cities” will provide the basis to understand, shape, plan, design, build, manage and continually adapt a city. You will learn to see the consequences of citizen science and the merging of Architecture and information space. You will be up-to-date on the latest research and development on how to better understand, create and manage the future cities for a more resilient urban world.

    Subjects:
    Building Services Engineering and Building and Real Estate
    Keywords:
    Smart cities Cities towns -- Effect of technological innovations on City planning
    Resource Type:
    MOOC
     
  • Video 
    Stata Tutorial Playlist: Behavioral Sciences

    Stata Tutorial Playlist: Behavioral Sciences

    Find out how to interact with Stata 16 using the menu system and dialog boxes, the Command window, and the Do-file Editor. We also show you some valuable, time-saving tips for improving your workflow in Stata. Finally, you can see an overview of the major components of the software, such as data management, graphics, and how to get help.

    Subjects:
    Statistics and Research Methods
    Keywords:
    Stata Statistics -- Data processing Mathematical statistics -- Data processing
    Resource Type:
    Video
     
  • Courseware 
    BUS300: Operations Management

    BUS300: Operations Management

    We are all familiar with the science of operations management in some way, since we all have scarce resources and have to allocate those resources properly. Think about the process of preparing a meal: you have to gather all the proper ingredients and prepare them for cooking. Certain ingredients go in at certain times. Occasionally, you fall behind or get too far ahead, jeopardizing the entire meal. And, of course, if you find that you do not have enough ingredients, even more problems arise. All of these elements of meal preparation – purchasing ingredients, prepping the ingredients by dicing them up, mixing ingredients together, boiling or baking the dish, serving, and cleaning – can be seen as parts of operations management. In the realm of business, operations management is more complicated than preparing a family meal. There may be hundreds or thousands of participants rather than just you and your brother or wife or grandfather cooking in the kitchen. Each participant has a specific role in the operations process; if any step of the process is disrupted, the whole process can stall or fall apart. Smart operations managers will have contingency plans in the event that stoppages occur. In this course, you will learn the fundamentals of operations management as they apply to both production and service-based operations. Successful completion of this course will empower you to implement the concepts you have learned in your place of business. Even if you do not plan to work in operations, every department of every company has processes that must be completed; someone savvy with operations management will be able to improve just about any process.

    Subjects:
    Logistics
    Keywords:
    Production management
    Resource Type:
    Courseware
     
  • Courseware 
    BUS202: Principles of Finance

    BUS202: Principles of Finance

    Principles of Finance will focus on what these managers, investors, and government agencies do with this information. It is an introductory course to various fields of finance and is comparable in content to courses that other institutions label as "corporate finance" or "financial management". Finance is a broad term; you will find that both managers that compile the financial reports we discussed in financial accounting and stockbrokers working on Wall Street will claim that they work in finance. So what exactly is finance? Finance is the science of fund management. It is distinct from accounting in that, whereas accounting aims at organizing and compiling past information, finance is geared towards deciding what to do with that information. In this course, you will be exposed to a number of different sub-fields within finance. You will learn how to determine which projects have the best potential payoff, to manage investments, and even to value stocks. In the end, you will discover that all finance boils down to one concept: return. In essence, finance asks: "If I give you money today, how much money will I get back in the future?". Though the answer to this question will vary widely from case to case, by the time you finish this course, you will know how to find the answer. You will learn how to use financial concepts such as the time value of money, pro forma financial statements, financial ratio analysis, capital budgeting analysis, capital structure, and the cost of capital. This course will also provide an introduction to bonds and stocks. Upon completion of this course, you will understand financial statements, cash flow, time value of money, stocks and bonds, capital budgeting, ratio analysis, and long term financing, and apply these concepts and skills in business decisions.

    Subjects:
    Finance
    Keywords:
    Business enterprises -- Finance Finance Corporations -- Finance
    Resource Type:
    Courseware
     
  • Open (Access) Journal-Article 
    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Short discharge time from hospitals increases both bed availability and patients and families satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54 from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.

    Subjects:
    Health Sciences and Management
    Keywords:
    Hospitals -- Administration Process control Six sigma (Quality control stard)
    Resource Type:
    Open (Access) Journal-Article
     
    OER
  • Presentation 
    Linked Data at The New York Times: The First 161 Years

    Linked Data at The New York Times: The First 161 Years

    This video was recorded at 11th International Semantic Web Conference (ISWC), Boston 2012. The New York Times committment to Linked Data began over 160 years ago. Starting in 1851, The New York Times has always catalogued its archival articles using a controlled vocabulary of people, places, organizations and descriptors. In 2009 The New York Times started publishing this vocabulary as linked data using semantic web standards. In 2011 The Times announced the launch of several RESTful Semantic APIs. And in late 2012 and early 2013, The Times will migrate its entire process for vocabulary management to a system designed around the principles of Linked Data. In my remarks, I will survey the history of Semantic publishing at The New York Times, outline our semantic strategy, detail the business-case for linked data at The Times and provide an in-depth explanation of our new vocabulary management system.

    Subjects:
    Computing, Data Science and Artificial Intelligence and Management
    Keywords:
    New York times Linked data
    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:
    Computing, Data Science and Artificial Intelligence and Management
    Resource Type:
    Presentation
     
    OER
  • Open (Access) Journal-Article 
    Learning Support Systems for Management Education: Screening for Success

    Learning Support Systems for Management Education: Screening for Success

    Working adults are entering MBA programs in increasing numbers. Some matriculating professionals have difficulty meeting the competitive rigors of business school life for a variety of reasons. One solution to these challenges is to provide learning support systems geared toward individual student backgrounds and interests. The purpose of this paper is to illustrate a screening process for delivering content in a non-residential MBA program for two diverse academic disciplines: organizational management and accounting. The results show that analytical-based classification techniques can effectively identify marginal students for the purpose of providing additional learning resources. The analysis further shows that intelligent tutors can deliver customized Web-based content at a time convenient to the working professional.

    Subjects:
    Management
    Keywords:
    Management--Study teaching (Higher) Adult education Distance education -- Computer-assisted instruction
    Resource Type:
    Open (Access) Journal-Article
     
    OER