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Australian Learning Group
澳大利亚
英国伯明翰大学计算机科学专业课程1.选修课:[Group A]选择一到两门课Fundamentals Software Engineering 软件工程基础Software Engineering 1,(Extended) 软件工程1 (扩展课程)Software Engineering 2 (Extended) 软件工程2 (扩展课程)[Group B]选择一到两门课Cryptography 密码学,扩展课程)Introduction to Human-Computer Interaction 人机交互入门Introduction to Neural Computation 神经计算入门Machine Learning
授课方式：Lectures，Pratical Workshops，Guided learning，Group work and Experimental Work。,Lectures，Small Group Tutorials(4-7 Students)，Practical Laboratory Sessions，Supporting English，IT Learning
课程设置：必修课• AHSC 610 Group Process Intervention• AHSC 620 Learning and Individual Change Processes• AHSC,Philosophy and Ethics of Intervention• AHSC 670 Consultation Methods• AHSC 680 Facilitating Individual and Group,Learning Processes• AHSC 685 Coaching Interventions and Processes• AHSC 698 Master’s Project选修课• AHSC
Geographic Information Systems and Science· Quantitative Methods· Agent-Based Modelling for Spatial Systems· Group,Health Care· Essentials of Informatics for Healthcare Systems· Key Principles of Health Economics· Learning,Health Systems· Machine Learning in Health Care (Blended Learning)· Patient Safety and Clinical Risk,MSc Data Science and Machine Learning / 数据科学与机器学习Department: Computer Science专业介绍：本数据科学专业将计算和统计技能以及机器学习结合起来,Project选修课程：Options (Group 1) (2选1)o Introduction to Machine Learningo Supervised LearningOptions (Group
课程设置：核心课程MSc Dissertation (Informatics)Informatics Research ReviewInformatics Project Proposal选修课Group,Science and SystemsCase Studies in Design Informatics 1Accelerated Natural Language ProcessingMachine Learning,and Pattern RecognitionMachine Learning PracticalProbabilistic Modelling and ReasoningImage and Vision,and Machine TranslationBioinformatics 1Natural ComputingIntroductory Applied Machine LearningMachine Learning
2020年澳洲国立大学工程学院院校信息外文名：The Australian National University简 称：ANU、澳国立、澳洲国立大学类 别：公立综合性研究型大学、国立大学地 址：澳大利亚首都特区,，堪培拉市，阿克顿区澳大利亚国立大学(The Australian National University)，是澳大利亚第一所研究型大学，也是国际研究型大学联盟(IARU)、环太平洋大学联盟(APRU),、澳大利亚八校联盟(Group of Eight)、大学天文研究协会(AURA)的成员。
and Decision Models 优化和决策模型Databases and Distributed Systems 数据库和分布式系统Network Analytics 网络分析Machine Learning,机器学习Visualisation 可视化Capstone Business Analytics Group Project顶石业务分析组的项目Business Analytics Report 业务分析报告申请条件,Science) MScBusiness Analytics (with specialisation in Management Science) MSc选修课包括Applied Machine Learning,消费行为和行为变化学Consulting Psychology 咨询心理学Talent Management 人才管理Data Science for Spatial Systems 空间系统的数据科学Group,Analytics 编程业务分析Data Analytics数据分析Information Retrieval and Data Mining信息检索和数据挖掘Introduction to Supervised Learning
These sessions will include lectures, teacher-led and student-led group discussions based on the main,Each 15-credit taught module has 120-130 hours of self-guided learning time.,We use lectures, seminars and group tutorials to deliver most of the modules on the course.,These sessions will include lectures, teacher-led and student-led group discussions based on the main,Each 15-credit taught module has 120-130 hours of self-guided learning time.每 15 学分授课模块，每 15 个授课模块的总接触时间是
1.澳国立大学 Australian national university入学要求：本科任何专业，择优录取，无明确GPA要求;*游同学澳大利亚国立大学计算机科学成功案例参考改革前的分数线：Master,Representation知识表示 (6 UOC)COMP9318 Data Warehousing & Data Mining数据仓库与数据挖掘 (6 UOC)COMP9417 Machine Learning,& Data Mining机器学习与数据挖掘 (6 UOC)COMP9418 Advanced Machine Learning先进的机器学习 (6 UOC)COMP9444 Neural Networks,, Deep Learning神经网络,深入学习 (6 UOC)COMP9517 Computer Vision计算机视觉 (6 UOC)其他选修课(任选七门)COMP4121 Advanced & Parallel,& Data Mining机器学习与数据挖掘 (6 UOC)COMP9418 Advanced Machine Learning 先进的机器学习(6 UOC)COMP9431 Robotic Software
核心研究领域有五个，包括Artificial Intelligence Laboratory，Infolab，Theory Group，Computer Graphics / Human-Computer,Interaction (HCI) group，Computer Systems。,3)Masterof Educational Technology and Applied Learning Science (METALS)项目简介：1年项目，其中包括一个为期八个月的针对校外客户的项目
MSc Data Science and Machine Learning 数据科学与机器学习专业介绍：本专业将计算和统计技能与机器学习结合在一起，用于数据驱动的问题解决。,本专业课程包括：· Applied Machine Learning· Introduction to Machine Learning· Introduction to Statistical Data,to Deep Learning· Machine Vision· Multi-agent Artificial Intelligence· Reinforcement Learning· Statistical,Information Systems and Science· Introduction to Programming for Spatial Analysts· Quantitative Methods· Group,本专业课程：必修课：· Introduction to Deep Learning - UCL· Introduction to Machine Learning - UCL· Applied Machine
