週次
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課程主題
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課程內容與指定閱讀
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教學活動與作業
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1
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(2/20) Session 1: Introduction to Business Analytics
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Konasani and Kadre Ch1
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Lecture、Lab
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2
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(2/27) Session 2: SAS Introduction
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Konasani and Kadre Ch2
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Lecture、Lab
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3
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(3/6) Session 3: Data Handling Using SAS
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Konasani and Kadre Ch3
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Lecture、Lab
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4
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(3/13) Session 4: Important SAS Functions and Procs
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Konasani and Kadre Ch4
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Lecture、Lab
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5
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(3/20) Session 5: Introduction to Statistical Analysis
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Konasani and Kadre Ch5
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Lecture、Lab
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6
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(3/27) Session 6: Basic Descriptive Statistics and Reporting in SAS
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Konasani and Kadre Ch6
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Lecture、Lab
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7
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(4/3) Spring Break
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Spring Break
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Spring Break
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8
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(4/10) Session 7: Data Exploration, Validation, and Data Sanitization
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Konasani and Kadre Ch7
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Lecture、Lab
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9
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(4/17) Session 8: Testing of Hypothesis
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Konasani and Kadre Ch8
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Lecture、Lab
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10
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(4/24) Session 8: Testing of Hypothesis
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Konasani and Kadre Ch8
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Lecture、Lab
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11
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(5/1) Session 9: Correlation and Linear Regression
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Konasani and Kadre Ch9
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Lecture、Lab
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12
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(5/8) Session 10: Multiple Regression Analysis
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Konasani and Kadre Ch10
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Lecture、Lab
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13
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(5/15) Session 11: Logistic Regression
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Konasani and Kadre Ch11
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Lecture、Lab
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14
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(5/22) Session 12: Time-Series Analysis and Forecasting
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Konasani and Kadre Ch12
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Lecture、Lab
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15
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(5/29) Session 13: Introduction to Data Mining and Big Data Analytics
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bespoke materials
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Lecture、Lab
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16
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(6/5) Independent study
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Lecture、Lab
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17
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(6/12) Group presentation
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Presentation slides due 12:00 noon, 6/11
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Group presentation
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18
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(6/19) Independent study
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Final report due 12:00 noon, 6/19
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The above schedule is subject to adjustments based on actual circumstances, with the latest version taking precedence. In case of any changes, notifications will be provided before the class, so please stay informed.
Lecture structure:
- first part: 18:00-19:20 | 20 min break | second part: 19:40-20:50 | close: 20:50-21:00
Independent Study:
There will be two independent study weeks: June 5, 2025, and June 19, 2025. During these weeks, you will review your final report with your group members and document each member’s contributions in the report.
Term Project (group-based with consideration of individual participation):
Teams will apply the business analytics tools learned in this course to a chosen topic (e.g. the business issues in a chosen industry and how to analyze the collected data to develop recommendations) in order to complete a group report and group presentation. The project format and outline will be introduced in the lecture. Besides, the add and drop period ends in Week 2. Accordingly, you will join the belonging group in Week 3. You are free to select your team members, although please remember that the maximum group size is 5 people. Please inform me in writing with your preferred team members' names before the end of the Week 3 lecture. You will be assigned the group ID in the following week.
1. Final Presentation
(Presentation on June 12, 2025; Presentation slides due 12:00 noon, June 11, 2025)
Each team should prepare a 20–30 minute presentation that introduces your project and analysis.
You will receive comments/feedback that can assist you in completing the final report.
2. Final Report
(Final Report due 12:00 noon, June 19, 2025)
Your group report will contain 3000 words (+/- 10%), excluding tables, figures, and references, and should be written in English. The report requires a cover page that includes the title of your study, and the names of all those who have participated (no abstract is necessary). You should reference your sources and articles following the Harvard referencing guidelines, and you MUST give careful consideration to the issue of plagiarism. Besides, late submissions will incur a 3% grade penalty per weekday (excluding holidays) if the submission is late.
Note: An additional guideline on how to write a quantitative report will be taught after the “Correlation and Linear Regression” session.
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