5565 - 數量分析方法 英授 Taught in English
Quantitative Analysis
教育目標 Course Target
介紹討論數量分析方法之概念,包括Simulation Modeling, Comparisons and Evaluation of Alternative System Designs, Search Methods for Unconstrained and Constrained Optimization, Lagrange Duality and Optimality Conditions, Markov Chain and the Poisson Process, Introduction to Queuing Theory, Introduction to AI and Searching in Artificial Neural Networks, Searching in Genetic Algorithm, Stochastic Search, Kernel-based Searching Algorithms。
Introduction to the concept of discussing quantitative analysis methods, including Simulation Modeling, Comparisons and Evaluation of Alternative System Designs, Search Methods for Unconstrained and Constrained Optimization, Lagrange Duality and Optimality Conditions, Markov Chain and the Poisson Process, Introduction to Queuing Theory, Introduction to AI and Searching in Artificial Neural Networks, Searching in Genetic Algorithm, Stochastic Search, Kernel-based Searching Algorithms.
課程概述 Course Description
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.
Introduce the concept of quantitative analysis methods and train students to optimize methods in quantitative analysis.
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.
參考書目 Reference Books
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
Part 1 teaching teacher: Teacher Weng Shuren
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
Part 2 Teaching Teacher: Teacher Zhang Bingten
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.
Part 3 teaching teacher: Teacher Peng Quan
1. Goodman Roe, Introduction to Stochastic Models: Second Edition, 2006, Dover Publications, originally published by The Benjamin/Cummings Publishing Company, Inc., 1988, ISBN: 0486450376
Part 4 Teaching Teacher: Teacher Wang Weihua
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
評分方式 Grading
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配分比例 Percentage |
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授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5565
- 學分 Credit: 3-0
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上課時間 Course Time:Friday/2,3,4[IEⅡ106]
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授課教師 Teacher:彭 泉/張炳騰/王偉華/翁紹仁
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修課班級 Class:工工博1
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選課備註 Memo:801
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