syllabus

SYLLABUS FOR

統計學

盧鴻興 (HENRY HORNG-SHING LU)

INSTITUTE OF STATISTICS, NATIONAL CHIAO TUNG UNIVERSITY

 

FALL, 2010

TEL: 03-5731870 EMAIL: hslu@stat.nctu.edu.tw

 

WWW: http://www.stat.nctu.edu.tw/misg/hslu/DEE1203/syllabus.htm

　

Goals:

 

This course is designed to introduce the basic tools in statistics for engineers. Basic probability and statistics are introduced. Computer softwares, such as EXCEL and R, will be used to assist statistical computing. Applications in engineering and other areas are demonstrated as examples. Emphasis of this course is on the understanding and applications of basic statistics. Undergraduate knowledge of calculus and linear algebra is helpful to understand the derivation of formulas.

Course Outlines:
    • Illustrative Examples
    • Data Presentation
    • Basic Probability
    • Decision Making for One Sample
    • Decision Making for Two or More Samples
    • Introduction to Linear Regression
    • Introduction to Experimental Design
    • Introduction to Statistical Quality Control

    Textbook:
    Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2006), Engineering Statistics (4rd Edition), Wiley, New York, NY.

    Evaluation:
    • Homework & Participation: 30%
    • Midterm Exam: 30%
    • Final Exam: 40%

    Links:

    Links related to statistical computing and statistics are available at http://www.stat.nctu.edu.tw/misg/hslu/course/statcomp/links.htm.

    Homework & Exam:

    Some examples are put in 作業參考與習題解答. The analysis results may have errors and need further improvements. However, they demonstrate some possible applications of statistics.

    • Homework for Ch 3: 3-43, 55, 60, 67, 87, 96, 107, 114, 120, 125, 131, 135, 150, 159, 170, 175, 180
                                      (Hand in this hw during the class time on Nov. 8)
      • Homework for Ch 4: 4-4, 17, 19, 31, 33, 47, 51, 61, 67, 77, 79, 83, 85 (Hand in this hw during the class time on Dec. 9)
      Homework for Ch 5: 5-1, 15, 39, 49, 51, 63, 65, 69

    • Midterm exam:

      • Date: Nov. 15, 2010, 13:30-15:30
      Place: The lecture room (EE132) without computers and calculators
      Materials: Ch. 1-3

    • Final exam:

      • Date: Jan. 10, 2011, 13:30-15:30
      Place: PC(2) classroom in computer center with Excel for computation
      Materials: Ch. 1-6

    Examples:

    什麼是降雨機率？

    　　降雨機率是預報人員根據各種氣象資料，經過整理、分析、研判、討論後，預測出
    在某一地區及一定時段內降雨機會的百分數，它是指在過去同樣的天氣狀況中，每一百
    天中有幾天會下雨。這是一種機率預報，只是預測降雨的「機會」有多少，並不代表一
    定會或一定不會下雨。

    　　嚴格的降雨機率預報定義，是指各預報區未來36小時內的三個時段（每12小時為一
    時段）出現0.1公厘或以上的降雨機會，因此和降雨時間以及面積都沒有關係。例如預
    報台北市降雨機率為70%，就是指有七成的機會在台北市的任何一個地方出現降雨。


助教時間:

Dear All,

The pdf files for all chapters, Excel, and R example files are uploaded to the class web page at http://e3.nctu.edu.tw

Let me know if you have difficulty to download them.

The due date of HW1 will be set as 10/7 (Th) and it shall be submitted through the class web page at http://e3.nctu.edu.tw


The following is the information of TA:

TAs:

蘇健霖 u9826801@stat.nctu.edu.tw,

蔡孟原 sirus623@hotmail.com ,

高君敏 cmkao1031@gmail.com

TA Tutor time by 蘇健霖:

Starting on Thursday (9/30), 7:00 to 9:00 pm, A407

每週四晚上七點開始 地點在綜合一館4樓 教室407

TA Office Hour by 蘇健霖: 3:00 to 6:00 p.m. on Wednesday, A412 地點在綜合一館4樓412室