国际学生入学条件
We encourage applicants to provide any Graduate Record Examination (GRE) scores from the last 5 years, if available. Submitting GRE scores is recommended, but not required. The department uses a holistic evaluation method for admissions decisions. All international applicants whose first language is not English or who have not received baccalaureate or master's degrees from an approved institution in which the language of instruction is English must take the TOEFL (Test of English as a Foreign Language) or the IELTS (International English Language Testing Systems) examination (these scores are required before review of an application can proceed). A TOEFL score of 550 on the paper test, a score of 213 on the computer-based test, or a total score of 80 on the Internet test is required for admission. On the Internet version, a minimum score of 19 is required on the speaking portion. The minimum acceptable composite score for the IELTS is 6.5. The statement of purpose should be a 23-page single-spaced document with 1-inch margins and 11- or 12-point font. Resume or CV (Curriculum Vitae) All applicants must provide three (3) letters of recommendation. Applicants are required to electronically upload copies of transcripts (or equivalent documents for institutions outside the U.S., e.g., degree/study certificates, diplomas, etc.) from all post-secondary institutions attended, in the language of instruction (and copies of an official English translation if English is not the language of instruction).
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IDP—雅思考试联合主办方
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
ESysE选项专注于应用于能源系统和基础设施的设计和分析的计算和数据分析方法。此选项中的其他课程为优化,模拟,统计分析和基于系统的方法提供了重要基础。该选项将为研究生提供一致而严格的课程,他们的研究重点是能源科学/工程,能源经济学,运筹学方法以及统计和数据分析方法等方面的方法创新。能源和矿产工程(EME)课程是一个单一的研究生课程,重点在于以经济,安全和高效的方式生产能源和矿产。该计划为能源,矿物科学和工程专业的学生提供灵活的教育,重点是不可再生和可再生资源与能源行业。该计划旨在解决有时需要的广度灵活教育
The ESysE option focuses on computational and data-analytic methods applied to the design and analysis of energy systems and infrastructures. The additional courses in this option provide critical foundations in optimization, simulation, statistical analysis, and systems-based approaches. The option will provide a consistent and rigorous track for graduate students whose research focuses on methodological innovations at the interface of energy science/engineering, energy economics, operations research methods, and statistical and data-analytic methods. Possible examples of research projects include game-theoretic models of electricity markets that present the physical constraints of electricity flow, uncertainty in system parameters, and require innovative mathematical programming solution techniques, machine learning algorithms for characterizing toxicological risks, designs for integrating renewable generation technologies into the electric power system that account for the time and weather dependent performance of the renewable technologies, explicitly consider uncertainties in system properties, and represent the operations and constraints of the other generation and demand resources in the grid to balance cost-effectiveness, reliability, and resilience to range of potential system shocks.
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