Doctor of Philosophy in Computer Science - Exploring Climate Change Data دراسة University of Maine في

Doctor of Philosophy in Computer Science - Exploring Climate Change Data

أمريكا

1

ماذا سوف أتعلم؟

P301dx is a data repository coupled with a collection of interactive tools that allow scientists to rapidly explore climate-change data. P301dx makes it easy to import and clean data. This data can then be explored using a large and growing collection of tools. A systematic repository facilitates correlation of diverse datasets. P301dx is built using a plug-in framework that makes it easy to add additional functions. In contrast to ad hoc data processing, when using P301dx there is no need for tediously importing and exporting data to various programs. Instead, the data is maintained in one reliable place, so that the user’s view (or perspective) of the data is the only change required. The shift in perspective usually includes the way the data is presented to the user and the array of tools available for inspecting data. Examples of some P301dx perspectives include: data maintenance, chart plotting, data re-sampling, and 3d data mapping.Project teamSudarshan S. Chawathe [1,2]Andrei Kurbatov [2]Paul Mayewski [2,3]Mark Royer [1]AffiliationsComputer Science DepartmentClimate Change InstituteEarth Sciences Department

خيارات الدراسة

دوام كامل (6 فصول دراسية)

رسوم التسجيــل
US$26,205.00 سنوياً
Housing Expense - 8,514
تاريخ البدء

أغسطس 2027

مكان عقــد الدورة

Main Campus

Orono, Maine,

Orono,

Maine,

04469, Northeast, United States

دوام كامل (6 فصول دراسية)

رسوم التسجيــل
US$26,205.00 سنوياً
Housing Expense - 8,514
الموعد النهائي للتسجيل

01/11/2026

تاريخ البدء

يناير 2027

مكان عقــد الدورة

Main Campus

Orono, Maine,

Orono,

Maine,

04469, Northeast, United States

شروط القبول

للطلاب الدوليين

The candidate will have completed a bachelors degree at a regionally-accredited university or four-year college.Official transcript of all previous college or university workSuccessful applicants will usually have a grade point average (GPA) of at least 3.5 (on a 4.0 scale). Normally, no applicant will be considered who has less than a 3.0 or less than a B average in undergraduate computer science courses.All GRE general scores are required by the School of Computing and Information Science. We do not require the subject test in computer science, although it may be submitted if desired.International students will need to submit TOEFL (minimum 80), or Academic

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