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爱丁堡大学人工智能硕士课程
课程类型: 硕士课程
电气 / 电子工程硕士
学校名称: 爱丁堡大学 University of Edinburgh
学校位置: 苏格兰
课程长度: 12个月
开学日期: 9月
爱丁堡大学 University of Edinburgh
www.ed.ac.uk
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入学要求 Requirement:

学术要求:Ideally applicants should have a first or upper second class (2:1) honours degree, or equivalent, in an area of Informatics, such as Artificial Intelligence, Cognitive Science or Computer Science.

英语要求: IELTS 6.5 (with 6.0 in each section)

学费 Tuition Fee:2011/2012        £16,050

 
课程特征 Course Features:

Students can choose from over 50 modules which are grouped into subject or specialist areas such as:
Intelligent Robotics,
Knowledge Management Representation and Reasoning,
Learning from Data,
Natural Language Processing.

There is a vast number of courses available within each specialist area and you can also choose courses from other areas that interest you. In fact, you will be very much encouraged to take advantage of this diversity and forge your own way in the field.

The emphasis is on practical techniques for the design and construction of intelligent systems, enabling graduates from this course to apply their skills in a variety of settings, from fraud detection software to specification of the telecommand system for the European Meteorological Spacecraft Control Centre, to name only two of the technologies developed at Edinburgh by our Artificial Intelligence Applications Institute.

 
课程内容 Course Content :

COMPULSORY COURSES
Informatics Research Proposal
Informatics Research Review
MSc Dissertation (Informatics)

COURSE OPTIONS
Adaptive Learning Environments 1 (Level 11)    
Advanced Natural Language Processing    
Advanced Vision (Level 11)    
Applied Databases    
Automated Planning (Level 11)    
Automated Reasoning (Level 11)    
Automatic Speech Recognition    
Cognitive Neuroscience of Language    
Computer Animation & Visualisation (Level 11)    
Data Mining and Exploration    
Human-Computer Interaction (Level 11)    
Intelligent Autonomous Robotics (Level 11)    
Knowledge Modelling and Management (Level 11)    
Machine Learning & Pattern Recognition (Level 11)    
Machine Translation (Level 11)    
Multi-agent Semantic Web Systems (Level 11)    
Natural Language Generation (Level 11)    
Probabilistic Modelling and Reasoning    
Reinforcement Learning    
Structure and Synthesis of Robot Motion    
Text Technologies (Level 11)    
Information Theory    
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