查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

110-2 298846 數據分析與決策進行 1 3.0 3 ★ 朴維鎮管理外國學生專班
資財所
國際金融科技專班
管理博所 6 0 IMBA&IMFI&管理博班&資財所

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-2	298846	數據分析與決策進行	1	3.0	3	★	朴維鎮	管理外國學生專班資財所國際金融科技專班管理博所	6	0	IMBA&IMFI&管理博班&資財所

教學大綱與進度：

教師姓名朴維鎮　教師諮商時間(Office Hours)

Email eugenepark993@gmail.com

最後更新時間 2022-01-24 12:19:43

課程大綱 ‘Analysis and decision making using data’ course deals with various analysis and decision-making techniques using data. Recent years have seen an explosion of the amount of data available to everyone, and making sense of that data has become an operational imperative. The tools of statistics are one of the ways we can make sense of the data and use it to make more effective decisions. So, this course focuses on information and data engineering, computational reasoning applied, and enterprise decision management to the design of decision support systems, information extraction, and data mining. It implements the use of computers to discover patterns in data. Thus, in this course we will introduce the concepts of descriptive and inferential statistics, several efficient prediction techniques such as regression analysis, and their use in decision making.

課程進度 Week 1 Introduction to data analysis for decision-making Week 2 Basic statistics Part I: Random variables, mean, median, standard deviation, variance, correlation, covariance Week 3 Basic statistics Part II: Random variables, mean, median, standard deviation, variance, correlation, covariance Week 4 Basic statistics Part III: Hypothesis tests Week 5 Basic statistics Part IV: Hypothesis tests Week 6 Simple linear regression – Part I Week 7 Simple linear regression – Part II Week 8 Simple linear regression – Part III Week 9 Interim presentation of individual project and submission of interim report Week 10 Multiple linear regression – Part I Week 11 Multiple linear regression – Part II Week 12 Multiple linear regression – Part III Week 13 Paper discussion – Part I Week 14 Paper discussion – Part II Week 15 Paper discussion – Part III Week 16 Presentation I Week 17 Presentation II Week 18 Presentation III

評量方式與標準 1. Attendance: 10% 2. Assignment : 30 % 3. Individual or group projects: 60%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
(1) Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1) (2) Data analysis and decision making , 4th Ed. by Albright, Winston, and Zappe (3) Introduction to Linear Regression Analysis 5th Edition by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

課程諮詢管道

備註
1. The online course platform is MS teams.
2. The announcement will be informed via email.
3. The way to reach the instructor is email.

教師姓名	朴維鎮　教師諮商時間(Office Hours)
Email	eugenepark993@gmail.com
最後更新時間	2022-01-24 12:19:43
課程大綱	‘Analysis and decision making using data’ course deals with various analysis and decision-making techniques using data. Recent years have seen an explosion of the amount of data available to everyone, and making sense of that data has become an operational imperative. The tools of statistics are one of the ways we can make sense of the data and use it to make more effective decisions. So, this course focuses on information and data engineering, computational reasoning applied, and enterprise decision management to the design of decision support systems, information extraction, and data mining. It implements the use of computers to discover patterns in data. Thus, in this course we will introduce the concepts of descriptive and inferential statistics, several efficient prediction techniques such as regression analysis, and their use in decision making.
課程進度	Week 1 Introduction to data analysis for decision-making Week 2 Basic statistics Part I: Random variables, mean, median, standard deviation, variance, correlation, covariance Week 3 Basic statistics Part II: Random variables, mean, median, standard deviation, variance, correlation, covariance Week 4 Basic statistics Part III: Hypothesis tests Week 5 Basic statistics Part IV: Hypothesis tests Week 6 Simple linear regression – Part I Week 7 Simple linear regression – Part II Week 8 Simple linear regression – Part III Week 9 Interim presentation of individual project and submission of interim report Week 10 Multiple linear regression – Part I Week 11 Multiple linear regression – Part II Week 12 Multiple linear regression – Part III Week 13 Paper discussion – Part I Week 14 Paper discussion – Part II Week 15 Paper discussion – Part III Week 16 Presentation I Week 17 Presentation II Week 18 Presentation III
評量方式與標準	1. Attendance: 10% 2. Assignment : 30 % 3. Individual or group projects: 60%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 (1) Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1) (2) Data analysis and decision making , 4th Ed. by Albright, Winston, and Zappe (3) Introduction to Linear Regression Analysis 5th Edition by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
課程諮詢管道
備註	1. The online course platform is MS teams. 2. The announcement will be informed via email. 3. The way to reach the instructor is email.