计算机科学与人工智能理学硕士

Course details and modules

• 核心编程概念算法与数据结构core programming concepts, algorithms and data structures
• computer systems, networks and distributed/cloud computing
• software engineering principles, development lifecycles and tools
• 数据管理数据库与数据驱动技术data management, databases and data-driven technologies
• 人工智能方法含机器学习与智能系统AI methods, including machine learning and intelligent systems
• ethical, societal and professional implications of AI
• contemporary trends and practices in AI and the wider technology sector
• designing, implementing and evaluating AI-enabled software systems
• 应用机器学习与数据驱动方法不动产世界问题applying machine learning and data-driven approaches to real-world problems
• problem-solving using computational thinking, abstraction and modelling
• analysing system and model performance, making informed technical decisions
• working with modern tools and frameworks used in AI and software development
• communicating technical and AI concepts effectively to different audiences
• applying knowledge in real-world, industry-relevant AI contexts
• collaborative working and teamwork in technical and interdisciplinary environments
• independent learning and adaptability in a rapidly evolving AI landscape
• ethical and responsible development and use of AI
• 项目规划组织与反思实践project planning, organisation and reflective practice
• awareness of professional standards, emerging technologies and industry expectations in AI and computing