康奈爾大學金融工程碩士學習什么內容

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　　優化建模課程(Optimization Modeling Courses):

　　Revenue Optimization and Marketplace Design

　　Nonlinear Optimization

　　Discrete Models

　　Intro to Game Theory

　　Spreadsheet-Based Modeling and Data Analysis

　　Inventory Management

　　Optimization I

　　Optimization II

　　Topics in Linear Optimization

　　Optimization Modeling in Finance

　　隨機建模課程(Stochastic Modeling Courses):

　　Revenue Optimization and Marketplace Design

　　ntro to Financial Engineering

　　OR Tools for Financial Engineering

　　Inventory Management

　　Service System Modeling and Design

　　Prob and Stat II

　　Simulation Modeling and Analysis

　　Monte Carlo Simulation

　　Monte Carlo Methods in FE

　　Stochastic Processes

　　Intro to Engineering Stochastic Processes II

　　Financial Engineering with Stochastic Calculus I

　　Financial Engineering with Stochastic Calculus II

　　Credit Risk: Modeling, Valuation, and Mgmt

　　Quantitative Methods of Financial Risk Mgmt

　　數據科學與統計建模課程(Data Science and Statistical Modeling Courses):

　　OR Tools for Financial Engineering

　　Statistical Data Mining I

　　Learning with Big Messy Data

　　Information Theory, Probabilistic Modeling, Deep Learning with Scientific Financial Applications

　　Applied Time Series Analysis

　　Statistics for Financial Engineering

　　Machine Learning for Intelligent Systems

　　Machine Learning for Data Science

　　Linear Models with Matrices

　　Theory of Statistics

　　Data Mining and Machine Learning

　　Bayesian Data Analysis: Principles and Practice

　　金融選修課：

　　Comprehensive Financial Statement Analysis

　　Investments and Portfolio Analysis

　　Emerging Markets Finance

　　International Finance

　　Fixed-Income Securities and Interest-Rate Options

　　Behavioral Finance

　　Evaluating Capital Investment Projects

　　Valuation Principles

　　Derivatives Securities

　　Quantitative Trading Strategies

　　Bond Math and Mortgage-Backed Securities

　　Special Topics in FE

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