本課程主要介紹進階統計學的理論、方法、與應用，並偏重於基礎數理統計、迴歸分析與變異數分析等。本課程複習部分基礎統計(包括抽樣及抽樣分布，點及區間估計，假設檢定等)，並著重於迴歸分析，變異數分析，以及無母數分析，以使學生具備完整之統計分析技巧，應用於學術論文研究及產業實務。 本課程透過一系列的案例演練來增進學生統計分析的技巧，並以專題報告的方式來提昇學生的溝通及寫作能力。

This course aims to provide advanced statistics theory and some application of statistical methods. It reviews some of the fundamental statistics (including sampling and sample distribution, point and interval estimation, hypothesis testing) and introduces advanced topics such as ANOVA, regression analysis, and Nonparametric Statistics.  The purpose is to facilitate students with sound statistical skill in studying academic research as well as solving real-world problems.  A series of real-world cases are provided for students to manipulate using SPSS^Ó to enhance their statistical skill, while a term project is designed to improve students’ communication and written skill.

課程大綱(Advances Statistics )

此課程以理論及模式建構的角度來介紹系統模擬學。課程重點在於建構電腦模擬模式以取代真實或虛擬系統，並以模擬實驗來分析系統行為、改善系統績效、或設計新系統。主要授課主題包括資料分析、模式建構、隨機亂數/變數、模擬結果統計分析、模擬實驗設計、以及模擬之未來趨勢。本課程透過一系列的案例演練來增進學生模擬分析的技巧，並以專題報告的方式來提昇學生的溝通及寫作能力。

The course presents basic techniques of systems simulation concentrating on both theoretical and modeling aspects.  The focus of the course is building computer simulation models to represent existing real-world systems, or hypothetical future systems, and of experimenting with these models to explain system behavior, improve system performance, or design new systems with desirable performances.  Topics includes data analysis using Input Analyzer, modeling of real world systems using ARENA, random number/variates generators, statistical analysis of simulation output using Output Analyzer, design of simulation experiments, and future trend of systems simulation.  A series of design exercises provides a key bridge between the simulation theory and the application of software modeling skills to an open-ended simulation problem.  Communication skills are developed with both written and oral presentation.

課程大綱(Advanced Systems Simulation)　

此課程概述決策支援系統的基本架構與各組成要件。課程重點除詳細介紹既有之決策支援系統外，更著重於因資訊科技而帶來之新一代決策支援工具。主要授課主題包括模式與系統、決策理論、資料庫管理、模式庫管理、使用者介面、群體決策、以及專家系統等。本課程透過兩個完整的專題報告來增進學生建構決策支援系統的技巧，並據以提昇學生的溝通及寫作能力。

課程大綱(Engineering Statistics)