项目背景
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更新时间:2024-10-13
开学时间9月
课程学制1年
学费29880.00/GBP
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语言要求
Write
6
21
59
总分
6.5
92
62
学术要求
专业领域:工程,physical sciences或数学类专业。
课程设置
Modules:模块
Three taught core modules (15 credits each):三个教学核心模块 (每个15学分)
Group project (30 credits):团体项目 (30学分)
Individual research project (60 credits):个人研究项目 (60学分)
Three taught optional modules (15 credits each):三个教学可选模块 (每个15学分)
Core Modules:核心模块
Fundamentals of Predictive Modelling (ES98ALink opens in a new window) (15 credit):预测建模基础 (ES98ALink在新窗口中打开) (15 credit)
Numerical Algorithms and Optimisation (MA934Link opens in a new window) (15 credit):数值算法和优化 (MA934Link在新窗口中打开) (15 credit)
Scientific Machine Learning (ES98ELink opens in a new window) (15 credit):科学机器学习 (ES98ELink在新窗口中打开) (15 credit)
Example project titles include::示例项目标题包括:
Predictive modelling of composite materials for hydrogen storage:储氢复合材料的预测模型
Data-driven discovery of differential equations for interfacial flows:界面流动微分方程的数据驱动发现
Multi-physics approaches for rocking wave bioreactors:摇摆波生物反应器的多物理方法
Bouncing drop dynamics across scales:跨尺度弹跳液滴动力学
Generation of nickel-based superalloy structures with realistic short-range ordering:具有现实短程有序的镍基高温合金结构的生成
Optional Modules (choose 3)*:可选模块 (选择3个) *
Modelling and Computation of Fluid Dynamics Across Phases and Scales:跨阶段和尺度的流体动力学建模和计算
Particle-based Modelling:基于粒子的建模
Predictive Modelling of Advanced Engineering Materials:先进工程材料的预测建模
Other optional modules are likely to include::其他可选模块可能包括:
Mathematical and Computer Modelling:数学和计算机建模
Quantum Chemistry:量子化学
High Performance Computing:高性能计算
Advanced Topics in Fluids:流体中的高级主题
Monte Carlo Methods:蒙特卡罗方法
Advanced Topics in Data Science:数据科学的高级主题
Statistical Learning and Big Data:统计学习与大数据
Continuum Mechanics:连续介质力学
Advanced Computational Chemistry:高级计算化学
Data Mining:数据挖掘
Biomolecular Simulation:生物分子模拟
Students can also take up to 15 credits from modules available across the University with agreement from the Course Coordinator. For example::学生还可以从课程协调员的同意下,从整个大学提供的模块中获得最多15个学分。例如:
Biomedical Systems Modelling:生物医学系统建模