Fu Jen Catholic University 2009-2010
Department / Code (開課單位/單位代碼)
Graduate Institute of Business Administration (商學研究所/G7781)
Course Code
(課程代碼) 02746
F S Course Name
(課程名稱)
Quantitative Method 數量方法
Credit
(學分數) 3 0
Course Objectives (課程目標)
The objectives of this courses are
1.To provide fundamental concepts and skills for artificial neural networks (ANNs).
2.To impart such the knowledge via detailed instruction and in-class exercises
3.To ensure a further understanding of the implications and intricate effects of using artificial neural networks in solving real world problems.
4.To be able to use related techniques and software in handling the related application problems.
5.To introduce the concepts of knowledge discovery and data mining
6.To understand how to analyze large volume of data in order to find knowledge and interesting patterns.
7.To investigate business cases as to show how to implement useful data mining tasks in the real world.
Prerequisites (先修課程)
Course Materials (課程教材)
“Introduction to Data Mining”, 2005, Author: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Publisher: Addison Wesley.
Reference (參考書目)
1. “Data Mining, Concepts and Techniques”, 2006, 2nd Edition, Jiawei Han & Michael Kamber, Publisher: Morgan Kaufmann.
2. “Data Mining Techniques -- For Marketing, Sales, and Customer Support”, 2004, 2nd edition, Author: Michael J. Berry, Gordon S. Linoff., Publisher: Wiley Computer Publishing.
3. “Data Mining with SQL Server 2005”, 2005, Author: ZhaoHui Tang and Jamie MacLennan, Publisher: Wiley Publishing, Inc.
課堂之前測(Pre-test) % 期末報告/論文撰述(Term Paper/Theses Writing)
%
課堂中的隨堂測試(Quiz) % 課堂參與(Class Participation) %
期中考(筆試)(Midterm Test) % 心得/作業撰寫(Assignment) %
課堂後測/期末考(筆試)(Final Test) % 專題發表(Presentation) %
學生表現側寫報告(Profile Report) % 課堂上實作演練(Role Playing) %
個案分析報告撰寫(Case Report) % 專業團體之證照檢定(Certification) %
Evaluation (評量方式)
個別面試或口試(Oral Exam) % 其他(Others)----研讀報告(Study Report) %
Pedagogical Methods (教學方法)
講授(Lecture) 個案教學(Case Study)
競賽讀書會(Study Group)
專題實作(Seminar on Field Research)
電子教學(e-Learning) 體驗教學(Project Adventure) 角色扮演實境教學(Role Playing) 企業競賽遊戲(Business Simulation Game) 管理電影(Theater Learning)
產業實習(Internship)
服務學習實作(Service Learning) 自主學習(Independent Study) 對話教學法(Dialogue Teaching) 其他
Course Web (課程網頁)
iCAN 學習網 (http://www.elearn.fju.edu.tw/icanxp/iCANPortal/index.html)
Course Outline (課程大綱進度)
Week Date Topic
1 9/15 Difference between ANNs and traditional statistical models 2 9/22 Introduction to artificial neural networks
3 9/29 Basic concepts of ANNs and preliminary models 4 10/06 Backpropagation neural networks
5 10/13 General model building processes
6 10/20 Introduction to forecasting and classification models 7 10/27 Journal papers discussion
8 11/03 Qnet software demonstration
9 11/10 Project implementation and presentation 10 11/16 Introduction: What is Data Mining?
11 11/23 Approaches to Data Mining.
12 11/30 Data Mining Techniques: Association Rules Mining.
13 12/07 Extended Holiday (校慶補假)
14 12/14 Data Mining Techniques: Classification and Prediction.
15 12/21 Data Mining Techniques: Classification and Prediction.
16 12/28 Data Mining Techniques: Clustering Analysis 17 01/04 Applications and Trends in Data Mining.
18 01/11 Final Exam and Oral Presentation.
全人教育 (Holistic Education)
做中學 (Learning by doing)
Contribution to Mission
(本課程與管理學院 使命之關係)
人本價值
(Human-centric values)
整合資源 (Resource integration)
創新知識
(Innovative knowledge)
國際視野 (International view)
Contribution to learning goals (本課程能達成開課 單位的哪些目標)
培養倫理導向的企業觀。
To cultivate the business concept with ethical orientations.
瞭解企業管理的國際思潮。
To understand the international trend of thought of business management.
整合組織與管理理論。
To integrate organization and management theories.
養成獨立研究能力。
To cultivate the capability of conducting independent researches.
發展國際學術專業。
To develop into international academics.
Instructor (老師資料)
Name: 李天行 Michael T S Lee
E-mail: 036665@mail.fju.edu.tw, mleetw@yahoo.com Phone:(02)2905-2651
Office Hour: by appointment Room: LM 209
Name: 翁頌舜 Sung-Shun Weng E-mail:
Phone:
Office Hour:
Room:
