曼彻斯特大学人工智能专业要学习哪些课程？ 曼彻斯特大学人工智能专业课程安排:1.选修课Automated Reasoning and Verification 自动推理和验证Modelling Data on the Web 网络建模数据Principles of Digital Biology 数字生物学原理Introduction to Health Informatics 卫生信息学概论Parallel Programs and their Performance 并行程序及其性能Designing for Parallelism and Future Multi-core Computing 设计的并行性和未来多核计算Data Engineering 工程数据IT Governance IT治理Introduction to Health Informatics 卫生信息学概论Foundations of Machine Learning 机器学习的基础Modelling and Visualisation of High-Dimensional Data 造型和高维数据的可视化Mobile Systems 移动系统Mobile Comminucations 移动交流Text Mining 文本挖掘Computer Vision 计算机视觉Cryptography 密码学Cyber Security 网络安全Software Engineering Concepts in Practice 实践软件工程的概念ontology Engineering for the Semantic Web 语义网本体工程Querying Data on the Web 网络上查询数据Agile and Test-Driven Development 敏捷和测试驱动开发Component-based Software Development 基于组件的软件开发Pattern-based Software Development 基于模式的软件开发2.必修课Research Methods and Professional Skills 研究方法和专业技能如需准确了解曼彻斯特大学人工智能专业相关的信息详细资料。