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Doctor of Philosophy in Computational Science and Engineering - Artificial Intelligence and Machine Learning
在喬治亞理工學院
關於課程
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.
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.
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.
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.
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.
- 實習機會
開始日期及學費
如何申請
Entry requirements for 喬治亞理工學院
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.
English language requirements
托福(TOEFL iBT)總分: 90.0
最後申請期限:
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