开始时间: 04/22/2022 持续时间: 8 weeks
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所在平台: CourseraArchive 课程类别: 经济与金融 大学或机构: University of Washington（华盛顿大学） 授课老师： Kjell Konis |
课程主页: https://www.coursera.org/course/mathematicalmethods
课程评论: 2 个评论
Mathematical Methods for Quantitative Finance covers topics from calculus and linear algebra that are fundamental for the study of mathematical finance. Students successfully completing this course will be mathematically well prepared to study quantitative finance at the graduate level.
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钛合金蛙眼 2013-11-15 14:55 0 票支持; 0 票反对
内容包括微积分，线性代数，最优化再捎带一些金融知识，都是数据挖掘和机器学习数学基础（除了概率统计)，老师也讲的很清楚，只可惜没有证书，UW开的几门课程都不错 |
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算文解字 2013-09-25 16:41 3 票支持; 0 票反对
搞statistical NLP自然要吃透了概率、统计和随机过程，但适当的微积分、线性代数和数值计算基础也很重要。没时间系统恶补？No problem! Coursera上推出了一门 Mathematical Methods for Quantitative Finance ，虽然原本针对金融，但8周的课程提供的浓缩版数学对NLPer也很实用。
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Mathematical Methods for Quantitative Finance covers topics from calculus and linear algebra that are fundamental for the study of mathematical finance. Students successfully completing this course will be mathematically well prepared to study quantitative finance at the graduate level.
