计算机科学与人工智能含产业实习年理学学士荣誉学士

课程模块Modules

• 年一Year one
• 年二Year two
• Year three
• 年四Year four

10 modules

• 逻辑logic
• sets
• functions and relations
• graphs
• induction
• 基础概率basic probability
• statistics and matrices

8 modules

• sorting algorithms
• heaps
• binary search trees
• hashmaps
• graph algorithms
• finite state machines
• regular expressions
• context-free grammars
• 图灵机器Turing machines
• Lambda calculus
• 编程与效应programming with effects
• reasoning about programs
• 控制流动control flow
• advanced libraries
• 改进效率improving efficiency
• type systems
• functional pearls
• overview of parallel and distributed computing
• applications of distributed systems
• reliable network communication
• introduction to distributed data management
• introduction to distributed algorithms
• 影像处理与应用image processing and its applications
• fundamentals of digital images
• 数字影像处理理论与实践digital image processing theory and practice
• 应用影像处理applications of image processing

22 modules

• 基础统计学basic statistics
• types of data
• 数据可视化技术data visualisation techniques
• 数据建模data modelling
• data pre-processing methods including data imputation
• forecasting methods
• clustering and classification methods (decision trees, naīve bayes classifiers, k-nearest neighbours)
• 数据仿真data simulation
• model interpretation techniques to aid decision support
• task environments
• reactive, deliberative and hybrid architectures for individual agents
• architectures and coordination mechanisms for multi-agent systems
• 机器学习基础machine learning foundations
• pattern recognition foundations
• artificial neural networks
• 深学习deep learning
• 应用机器学习applications of machine learning
• 数据采矿技术data mining techniques
• evaluating hypotheses
• basic lambda calculus
• operational semantics
• domain theory
• types, propositions as types and formal verification