Intelligent Agent System Catalog

智慧型代理人系統


Objective of The Course
     智慧型代理人系統技術結合人工智慧、分散式計算與網際網路技術，逐漸成為未來重要的資訊技術。本課程介紹智慧型代理人系統之理論、架構與應用。學生透過此課程實做一個智慧型代理人系統，以瞭解代理人技術與應用。
    課程主要內容包括 - 1.多代理人理論與架構，2. 機器學習與代理人調適，3. 協調技術，4. 合作與競爭，5.賽局理論與決策，6.知識本體論， 7.網路服務。本課程包含機率與隨機程序的基礎原理,如機率量測,隨機變數,大數法則,隨機程序,穩態隨機程序及其特性。本門課程為研究所在通訊及控制組之基本課程。

(2/22) Intelligent Agent Introduction	----
(2/29) Agent Application	----
(3/7) Mobil Agent	----
(3/7, 3/14) Proposition Login	----
(3/21) Agent Knowledge Representation	----
(3/28, 4/11) Agent-based Methodology	----
(4/18) Fuzzy Set Theory	----
(4/25) Decision Tree and AB Search	----
(5/2) Neural Network, Robot  Programming	----
(5/9) Robot Agent	----
(5/16) Genetic Algorithm, Agent Reasoning	----
(5/23) Agent Communication Language	----
(5/30) Game theories and decision making	----
(6/6) Cooperative and competitive problem solving	----
(6/13) Negotiation and coordination, Ontology and Semantic web	----

Textbook:

Course materials are selected from a number of books, research documents and journal papers and will be delivered on each session.

Reference:

1. Federico Bergenti, Marie-Pierre Gleizes, Franco Zambonelli, Methodologies and Software Engineering for Agent Systems:
2. The Agent-Oriented Software Engineering Handbook, Springer, 2010.
3. Nathan Griffiths, Kuo-Ming Chao, Agent-Based Service-Oriented Computing, Springer, 2010.
4. Michael Wooldridge. Introduction to MultiAgent Systems. Wiley, 2009.
5. Adelinde M. Uhrmacher, Danny Weyns, Multi-Agent Systems: Simulation and Applications: Computational Analysis, Synthesis, and Design of Dynamic Systems, CRC Press, 2009.

Semiconductor Processings Catalog

半導體製程


Objective of The Course
      1.半導體元件簡介 2.物理氣相沉積 3.化學氣相沉積 4.微影─光阻覆蓋，曝光，顯影 5.蝕刻─濕式蝕刻，乾式蝕刻 6.攙雜─擴散法，離子植入法 7.氧化和熱處理製程

導論	----
第二章 半導體材料	----
第三章 半導體元件	----
第四章 半導體隔離技術	----
第五章 薄膜製程技術	----
第六章 摻雜製程技術	----
第七章 微影製程技術	----
第八章 蝕刻製程技術	----
第九章 元件製程設計	----

Digital Video Systems

數位視訊系統


Objective of The Course
     The purpose of this course is to present a comprehensive description of video systems and video compression. This course will emphasize the analysis and design of digital video signals and systems. The course will start with characteristics of basic analog video systems including color encoding and composite signal formation. Digital video concepts will then be introduced.
     A comprehensive description of digital video compression techniques will also be presented. Compression methods will begin with intra-frame coding approaches with particular emphasis on JPEG. Various video compression standards will be presented along with issues relative to motion estimation and video transmission. By the end of the semester, students will be able to design digital video processing algorithms and gain hands-on experience through the final project.

Introduction Multimedia Signal Processing  (多媒體信號處理入門簡介)	----
The 1&2-Dimensional Fourier Transforms (1維和2維傅利葉轉換)	----
Spatial Convolution (空間迴旋：空間域濾波運算)	----
Frequency Filtering (頻率域濾波)	----
Sharpening and Edge Enhancement (影像銳化與清晰強化處理)	----
Video Coding：Binary Encoding、Scalar and Vector Quantization (影音編碼壓縮)	----

Textbook:
“Video Processing and Communications” by Y. Wang, J. Ostermann, and Y.Q.Zhang, Prentice Hall, 2002. (ISBN: 9789861546063)

References:
Digital Image Processing, 3/e; Rafael C. Gonzalez,Richard E. Woods