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计算科学与工程哲学博士-机器学习

Doctor of Philosophy in Computational Science and Engineering - Artificial Intelligence and Machine Learning

佐治亚理工学院

Georgia Institute of Technology

US美国

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

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国际学生入学条件

Most students entering the CSE graduate degree programs will have obtained a bachelors degree in a technical field, e.g., computer science, mathematics, or a science or engineering discipline. Students should have taken undergraduate calculus courses. Some CSE courses will require additional coursework in topics such as linear algebra or differential equations. A working knowledge of probability and statistics will also be helpful in some core courses and specializations. Students should have taken at least one course, but preferably two and have developed a proficiency in programming in a high level language such as C, FORTRAN or Java. Students deficient in one or more of these areas may still gain admission, but should expect to take some additional coursework. The Graduate Record Exam (GRE) general test scores are required of all applicants to the Computational Science and Engineering degree programs. The required minimum total score on the exams are: The internet-based TOEFL exam = 90, with minimum section scores of 19 or higher on each skill area, The paper-based TOEFL exam = 577, IELTS exam - Overall score minimum of 7, with minimum section scores for reading 6.5, listening 6.5, speaking 6.5 and writing 5.5.
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  • 雅思总分:7
  • 托福网考总分:90
  • 托福笔试总分:577
  • 其他语言考试:NA

CRICOS代码:
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课程简介

机器学习(ML)专注于计算机程序的开发,当遇到新的信息或示例时,这些程序可以自学且无需明确编程即可发挥作用。ML的过程与数据挖掘的过程相似,因为这两个系统都在数据中搜索模式。但是,ML程序不仅可以简单地挖掘供人类解释的数据,还可以使用该数据来重定向或调整自己的操作。ML是人工智能的几个组成部分之一。<br> <br>该领域的研究探索了构建模型并进行数据驱动的预测或决策的算法的构建和研究。它是计算机科学中一个有用的,迅速发展的子领域,几乎所有CSE教师都将其纳入他们的研究。应用范围广泛,包括识别图像,字符和
Artificial intelligence (AI) is the general study of making intelligent machines. Machine learning (ML) is a subtopic of AI that focuses on the development of computer programs that can teach themselves and act/adapt without the need for explicit programming when encountering new information or examples.<br><br>Research in this area explores the construction and study of algorithms that build models and make data-driven predictions or decisions. It is an impactful rapidly evolving sub-field of computer science that nearly all CSE faculty incorporate into their research.<br><br>Work in AI and ML at CSE involves foundational research in deep learning, probabilistic models and reasoning, large-scale machine learning, reinforcement learning, data-driven decision making and AI/ML in science and engineering. There are significant efforts aimed at a wide range of applications, including traditional areas such as recognizing natural language, networks, speech and images, to more cutting-edge novel ones connecting to other domains such as forecasting pandemics like COVID-19, diagnosing and treating complex diseases like asthma and cancer, detecting fraud and online adversarial behavior, designing new materials, AI for social good, incentive design for solving social dilemmas, and predicting the responses of social, natural and engineered systems.
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关于佐治亚理工学院

佐治亚理工大学是全美最好的10所公立大学之一。不仅如此,GIT的大部分工程学专业都是全美最好的。每年,GIT投入到科研研究与教学的经费可以达到5.25亿美元,是全美最舍得为学术项目砸钱的大学之一。而正因为GIT对于学术研究如此重视,使得学生与教授在课堂上交流的机会显得贵如春雨。用GIT学生自己的话说,如果你选择在任意一堂课上睡觉,那么你就要做好期终挂科的思想准备。佐治亚理工的工业工程专业排名全美排名第一。相应的,机械工程、信息技术、材料工程、建筑等专业也享有非常高的专业排名。从5200多个作品中脱颖而出的曼哈顿“911”纪念碑就是来自Rochester建筑学校友的设计。GIT大概有23%的课堂学生人数超过50人,再加上教授们大多忙于各自的研究项目,使得本科阶段自身的发奋非常重要。在校生普遍反映课程安排很严格,但只要你“熬过来”,等待你的就是一份不菲的薪水。忘记循规蹈矩,GIT的学生们很骄傲的说他们已经做到了。“偷T”是GIT的众多“高科技”传统的其中一个:学生们将巨大的字母T从管理楼那里移走,然后通过某种会让校园管理员们尴尬的方式归还给学校。后来管理员们开始在T上放置警钟、动作感应器和热感应器,但是“对于GIT的工程师们来说,这都不叫个事儿。”在这里,自我引导、远大的目标和积极性会带你走的更远,对绘图计算器的熟练应用和对高度复杂的软件算法的热爱也会让你走得更远。

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