These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as well as optimizations that affect core products and users, from online allocation of ads to page-views to automatic management of ad campaigns, and from clustering large-scale graphs to finding best paths in transportation networks.
Each week one student will give their lecture. This student must prepare PowerPoint or KeyNote slides to use as helping material for their lecture.
If you are a lecturer, then you must post your summary at least words 72 hours before your lecture, so that the rest of the students can respond and we can have a discussion prior to the lecture. On the day of your lecture, you will present a minute presentation.
This will be followed by a quick 10 minute question-and-answer session in order to clarify any outstanding details relating to your presentation. We will then have a 15 minute break, followed by a 90 minute discussion session which you must lead.
In this session we can discuss any issue that you want to put forward, as well as any questions that the rest of the students have asked online. Your lecture will be evaluated on how well you describe the concepts, the breadth and depth of the topics you cover, and the overall impact of your delivery.
Ideally you should present material beyond the reading list. Inevitably, some topics will be more difficult than others, and this will be taken into consideration. Online research Every week students are expected to study the material for that class.
At least 48 hours before class the students must post their critique of the material, and in addition pose a number of questions to be discussed in class. Here are some points to consider when you develop your critique of the materials: If you were to explore the same topics, would you do something differently?
What are the major implications of the work? How would you extend this work? Do you agree with the points that the Lecturer is making the student who is giving the lecture on this topic?
In general, the reading list for this course represent the bare minimum for each topic we will cover. Classroom participation You are expected to actively participate in classroom discussion by asking question, answering questions, and in general making comment where appropriate.
Your participation will be assessed on the quality of your comments and their frequency. Term project Students will work on term projects in small groups of people.
Each group will propose a project. Roughly speaking, projects will be one of three types: Design oriented, conducting formative user studies interviews, surveys, and observationscreating mockups of user interfaces, evaluating those mockups with potential users, and iterating several times, culminating in a useful, usable, and desirable design of a ubiquitous computing application.
Implementation oriented, creating or extending a ubiquitous computing system. Evaluation oriented, taking an existing system, designing a user study, and conducting that user study. Each team must deliver a report using the template provided above a poster to be printed in size A3 optionally using one of templates provided above a disk with all relevant software, drivers, and installation instructions.
Personal and Ubiquitous Computing11 2Resource Library. Access the latest white papers, research webcasts, case studies and more covering a wide range of topics like Mobile, Cloud and Data Analyitcs.
Google publishes hundreds of research papers each year. Publishing our work enables us to collaborate and share ideas with, as well as learn from, the broader scientific community.
ACM India Research Board (AIRB) What is AIRB? ACM India Research Board (AIRB) is a community of academics, researchers, and others who care deeply about enhancing the quality and the quantity of computing research done in India, particularly in the academic institutions.
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Research topics in Ubiquitous Computing.
Spring , Madeira Interactive Technologies Institute. of Madeira Overview This course is designed to Introduce students to the theoretical and technical aspects of ubiquitous computing Students are encouraged to read around these papers, either by following the papers' references and citations.
The objectives of the Intelligent computing in Ubiquitous Computing (ICUC) are to bridge the knowledge gap between academia and industry. ICUC invites research papers that encompass conceptual analysis, design implementation and performance evaluation.