帝国理工学院生态学和进化中的计算方法专业 项目网站

Computational Methods in Ecology and Evolution

英国 公立 科学

项目背景

`

更新时间:2024-04-28

专业排名18

大学帝国理工学院

开学时间10月

课程学制1年

学费28300.00/GBP

专业介绍

In this unique course we teach quantitative methods and biological concepts together, through application of the methods to cutting-edge biological research problems. The focus is on current topics in modern quantitative biology, such as interactions between ecological and evolutionary dynamics, and the effects of climate change on ecological communities. You will also have the chance to develop your knowledge in mathematical, statistical, and computing tools through their application to important research problems. Over the past 10–20 years, biology has become increasingly quantitative, and mathematical sciences have in turn been increasingly influenced by biology. It has been said that “mathematics is biology's next microscope, only better” (Cohen, Plos Biology, 2004) because mathematical, statistical, and computational sciences will continue to reveal unsuspected and entirely new worlds within biology, just as the microscope revealed previously unseen worlds following its invention. It has also been said that “biology is mathematics' next physics, only better” (Cohen, Plos Biology) because biology will in turn continue to spur major new developments in computation, mathematics and statistics, just as physics has done in past centuries.

推荐顾问

世界排名

2020年

18

2019年

20

2018年

23

2017年

26

语言要求

类型
雅思
托福
PTE
Listen
6
20
56
Speak
6
20
56
Read
6
20
56
Write
6
20
56
总分
6.5
92
62

学术要求

生命科学或Physical科学类专业+含基础的数学科目(等同于Alevel的数学A或B水平)

课程设置

Introduction to Biological Computing:生物计算简介 Data Science: 数据科学 CMEE Biological Computing Mini project: CMEE生物计算迷你项目 High Performance Computing: 高性能计算 Biological Data Science: 生物数据科学 Maths for Biology: 生物数学

申请案例

学生姓名:吴**

毕业学校:诺丁汉大学

本科专业:环境科学

基本背景: 三年级/GPA61/100/雅思0

学生姓名:许 **

毕业学校:伯明翰大学

本科专业:应用数学

基本背景: /GPA75/100/雅思0