98年第1學期-4435 數量分析方法 課程資訊

課程分享

選課分析

本課程名額為 70人,已有3人選讀,尚餘名額67人。

評分方式

評分項目 配分比例 說明
期中報告 50
期末報告 50

授課教師

彭 泉

教育目標

Part of this course introduces the mathematical theory of probability and stochastic processes. Subjects include Markov chains, the Poisson process; continuous-time stochastic processes; 介紹討論數量分析方法之概念,培養學生於數量分析中最佳化方法之基本概念。

課程概述

介紹討論數量分析方法之概念,培養學生於數量分析中最佳化方法之基本概念。 This part of the course is one of the 4 consecutive topics. This one is focused on the AI-Based search methods. The basic concepts and the major methods and models will be delivered in the lectures.

課程資訊

參考書目

第一部分授課教師:翁紹仁老師
1. Banks, J. and John S. Carson, II, Discrete-Event System Simulation, Prentice-Hall, 1984.
2. Winston, W. L., Operations Research: Applications and Algorithms, 2nd Ed., Duxbury Press, Belmont, California, 1991

第二部分授課教師:張炳騰老師
1. S. S. Rao, ENGINEERING OPTIMIZATION: THEORY AND PRACTICE, 3rd Edition, John Wiley & Sons, 1996.
2. G. N. Vanderplaats, NUMERICAL OPTIMIZATION TECHNIQUES FOR ENGINEERING DESIGN WITH APPLICATIONS, McGraw-Hill, 1994.
3. M. S. Bazaraa, H. D. Sherali and C. M. Shetty, NONLINEAR PROGRAMMING: THEORY AND ALGORITHMS, 2nd Edition, John Wiley & Sons, 1993.

第三部分授課教師:彭 泉老師
1. Goodman Roe, Introduction to Stochastic Models: Second Edition, 2006, Dover Publications, originally published by The Benjamin/Cummings Publishing Company, Inc., 1988, ISBN: 0486450376

第四部分授課教師:王偉華老師
1. Haykin, Simon, Neural Networks. (2nd edi )
2. Cristianini, Nello, An Introduction to Support Vector Machines.
3. Neapolitan, Richard E., Learning Bayesian Networks, Prentice Hall, 2004