課程大綱

課程資訊

課程名稱

統計學一下
Statistics (I)(2)

開課學期

108-2

授課對象

資訊管理學系

授課教師

盧信銘

課號

MGT2002

課程識別碼

700 20112

班次

學分

3.0

全/半年

全年

必/選修

必帶

上課時間

星期三7,8,9(14:20~17:20)

上課地點

管二305

備註

本課程中文授課,使用英文教科書。週三6實習在管一大電。
限本系所學生(含輔系、雙修生)
總人數上限：70人

Ceiba 課程網頁

http://ceiba.ntu.edu.tw/1082IMSTAT

課程簡介影片

核心能力關聯

本課程尚未建立核心能力關連

課程大綱

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課程概述

Solving statistical problems begins with a problem and data. The ability to select the right method by problem objective and data type is a valuable tool for business. This class emphasizes applications and fundamental concepts of statistics as well as provides a practical orientation that teaches students how to identify the correct method, calculate the statistics, and properly interpret the results in the context of the question or decision at hand. Since business decisions are driven by data, students will leave this course equipped with the tools they need to make effective, informed decisions in all areas of the business world.

課程目標

The students will learn not only the algorithms and techniques used to solve related problems, but also the real-world applications that adopt these methods. The students are encouraged to utilize computers in every respect of this class. Computer software is available for this class.

課程要求

Homework will be assigned through the term and will due the following week. Students should complete their homework using Python (Version 3) and Jupyter Lab/Notebook. They should submit their files (*.ipynb and other relevant files) to Ceiba. Your submission should contain code and results. Additional files (e.g., images not included in ipynb files and data files not come with the textbook) should be included if needed. Homework assignments are due the following week before the class begin (i.e. 2 pm). Plagiarism will be harshly punished. Students are allowed to discuss homework questions with each other. The discussion, however, should be about a specific concept or detail instead of the complete answers for a given question. Sharing your answers with other students is strictly prohibited. Copying code from the Internet is also plagiarism.

Group project is an important part in this course. Projects should be completed in groups of 4 – 6 persons. Select a research question that allow you to tell a story using the techniques you learned in this course. Your group should conduct a 12-minute presentation and turn in your slides, codes, and datasets to Ceiba within 24 hours after your presentation.

Both mid-term and final exams will be in-class, three-hour, and open-book. Each student will be provided a PC in the exams. No NB is allowed. No discussion is allowed in exams. Cheating will result in severe penalty.

預期每週課後學習時數

Office Hours

指定閱讀

待補

參考書目

Statistics for Management and Economics by Gerald Keller (11th Edition),
ISBN 978-981-4792-39-4; Supplement book ISBN 978-80-00-05082-9

評量方式
(僅供參考)

No.	項目	百分比	說明
1.	Homework	15%
2.	Group Project	20%
3.	Mid-term Exam	30%
4.	Final Exam	35%

課程進度

週次	日期	單元主題
第1週	2/19	Chapter 13: Inference about comparing two populations (I)
第2週	2/26	Chapter 13: Inference about comparing two populations (II)
第3週	3/04	Chapter 14: Analysis of Variance (I)
第4週	3/11	Chapter 14: Analysis of Variance (II)
第5週	3/18	Chapter 15: Chi-Squared Tests
第6週	3/25	Chapter 19: Nonparametric Statistics (I)
第7週	4/01	No Class (Spring Break)
第8週	4/08	Chapter 19: Nonparametric Statistics (II)
第9週	4/15	Mid-term Exam in Computer Room
第10週	4/22	Chapter 16: Simple Linear Regression (I)
第11週	4/29	Chapter 17: Multiple Regression
第12週	5/06	Chapter 18: Model Building (I)
第13週	5/13	Chapter 18: Model Building (II)
第14週	5/20	Chapter 20: Time-Series Analysis and Forecasting
第15週	5/27	TBD
第16週	6/03	No Class (Preparing for presentation and final exam)
第17週	6/10	Project Presentation
第18週	6/17	Final Exam in Computer Room