竹童_gaorong

关心资本市场、金融工程、统计计算。

天津 南开区

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Mathematical Methods for Quantitative Finance (Coursera) 2 个评论 关注

开始时间: 06/01/2015 持续时间: 8 weeks

主页: https://www.coursera.org/course/mathematicalmethods

简介: 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.

Scientific Computing (Coursera) 1 个评论 关注

开始时间: 11/16/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/scientificcomp

简介: Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.

High Performance Scientific Computing (Coursera) 1 个评论 关注

开始时间: 02/20/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/scicomp

简介: Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

Game Theory (Coursera) 1 个评论 关注

开始时间: 09/11/2015 持续时间: 9 weeks

主页: https://www.coursera.org/course/gametheory

简介: The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).

Heterogeneous Parallel Programming (Coursera) 4 个评论 关注

开始时间: 01/12/2015 持续时间: 9 weeks

主页: https://www.coursera.org/course/hetero

简介: This course teaches the use of CUDA/OpenCL, OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding.

Introduction to Parallel Programming (Udacity) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs344

简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.

Linear and Discrete Optimization (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/linearopt

简介: The course is an introduction to linear and discrete optimization - an important part of computational mathematics with a wide range of applications in many areas of everyday life.

Introduction to Computational Finance and Financial Econometrics (Coursera) 2 个评论 关注

开始时间: 06/01/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/compfinance

简介: Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

Discrete Optimization (Coursera) 3 个评论 关注

开始时间: 03/04/2015 持续时间: 9 weeks

主页: https://www.coursera.org/course/optimization

简介: Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming.

Linear and Integer Programming (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/linearprogramming

简介: This course will cover the very basic ideas in optimization. Topics include the basic theory and algorithms behind linear and integer linear programming along with some of the important applications. We will also explore the theory of convex polyhedra using linear programming.

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