國立中山大學 112學年度第2學期 課程教學大綱
National Sun Yat-sen University 112Academic year Course syllabus
|
中文名稱 Course name(Chinese) |
商業分析實務 |
課號 Course Code |
MIS985 |
英文名稱 Course name(English) |
PRACTICAL BUSINESS ANALYTICS |
課程類別 Type of the course |
講授類 | 必選修 Required/Selected | 必修 |
系所 Dept./faculty |
資訊管理學系電子商務與商業分析數位學習碩士在職專班 |
授課教師 Instructor |
康藝晃
|
學分 Credit |
3 |
因應嚴重特殊傳染性肺炎等傳染病,倘若後續需實施遠距授課,授課方式調整如下: |
|
因應嚴重特殊傳染性肺炎等傳染病,倘若後續需實施遠距授課,評分方式調整如下: |
|
尚未建立傳染性肺炎等傳染病之課程評分方式﹝評分標準及比例﹞
|
|
課程大綱 Course syllabus |
|
課程目標 Objectives |
|
Basic understanding of relational databases, SQL, data structures, probability & statistics, college-level calculus, and matrix operations are required. Familiar with at least one high-level programming language. Scientific programming language, such as R, MATLAB, Python, SAS, Julia are preferred.
|
|
授課方式 Teaching methods |
|
* Online Lecture * On-site Group Discussion
|
|
評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference
|
|
1.Quiz:30% 2.Homework:30% 3.Midterm:20% 4.Final Project:20%
|
|
參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念,不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
|
|
* F. Provost, T. Fawcett. Data Science for Business: What you need to know about data mining and data-analytic thinking”, O'Reilly Media, Inc., 2013. * C. O'Neil and R. Schutt, Doing Data Science: Straight Talk from the Frontline,. O'Reilly Media, 2013 * G. James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning: with Applications in R, 2nd edition. New York: Springer (Available free online: https://www.statlearning.com/) * K. Hwang and M. Chen, Big-Data Analytics for Cloud, IoT and Cognitive Computing, 1st ed. Wiley Publishing, 2017.
|
|
彈性暨自主學習規劃 Alternative learning periods
|
|
每週課程內容及預計進度 Weekly scheduled progress |
|
週次 | 日期 | 授課內容及主題 | Week | Date | Content and topic | 1 | 2024/02/18~2024/02/24 | Course overview and introduction | 2 | 2024/02/25~2024/03/02 | Introduction to Business Analytics | 3 | 2024/03/03~2024/03/09 | Data Management I | 4 | 2024/03/10~2024/03/16 | Data Management II | 5 | 2024/03/17~2024/03/23 | Fundamentals of Data Analytics I | 6 | 2024/03/24~2024/03/30 | Fundamentals of Data Analytics II | 7 | 2024/03/31~2024/04/06 | NO CLASS (Tomb Sweeping Day) | 8 | 2024/04/07~2024/04/13 | Midterm Proposal Presentation | 9 | 2024/04/14~2024/04/20 | Fundamentals of Data Analytics III | 10 | 2024/04/21~2024/04/27 | Statistical Learning-Introduction | 11 | 2024/04/28~2024/05/04 | Statistical Learning-Supervised Learning I | 12 | 2024/05/05~2024/05/11 | Statistical Learning-Supervised Learning II | 13 | 2024/05/12~2024/05/18 | Statistical Learning-Supervised Learning III | 14 | 2024/05/19~2024/05/25 | Topics in Statistical Learning | 15 | 2024/05/26~2024/06/01 | Final Project Presentation-I | 16 | 2024/06/02~2024/06/08 | Final Project Presentation-II | 17 | 2024/06/09~2024/06/15 | | 18 | 2024/06/16~2024/06/22 | |
|
|
課業討論時間 Office hours |
|
時段1 Time period 1: 時間 Time:星期三10am-12pm 地點 Office/Laboratory:管CM4057 時段2 Time period 2: 時間 Time:星期四10am-12pm 地點 Office/Laboratory:管CM4057
|
|
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university |
|
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilities of the department and the university | 課堂活動與評量方式 Class activities and evaluation | 本課程欲培養之能力與素養 This course enables students to achieve.
| 紙筆考試或測驗 Test. | 課堂討論︵含個案討論︶ Group discussion (case analysis). | 個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment. 個人書面報告、作業、作品、實驗 Indivisual | 群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment. 群組書面報告、作業、作品、實驗 Group paper rep | 個人口頭報告 Indivisual oral presentation. | 群組口頭報告 Group oral presentation.
| 課程規劃之校外參訪及實習 Off-campus visit and intership. 課程規劃之校外參訪及實習 Off-campus visit and intership. | 證照/檢定 License. | 參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions. | 課外閱讀 Outside reading. | ※系所學生專業能力 Basic disciplines and core capabilities of the department | |
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university | |
|
|
本課程與SDGs相關項目:The course relates to SDGs items: |
|
本課程校外實習資訊: This course is relevant to internship: |
|