國立中興大學教學大綱
課程名稱 (中) 經濟預測方法(3096)
(Eng.) Economic Forecasting Methods
開課單位 財金系
課程類別 選修 學分 3 授課教師 賴宗志
選課單位 財金系 / 學士班 授課使用語言 中文 開課學期 1142
課程簡述 This course provides a practical introduction to economic forecasting, focusing on data-driven methodologies rather than formal time series theory. Students will learn how to explore time series data, construct benchmark forecasts, and implement widely used models to evaluate predictive performance. Using real-world datasets and R programming, students will develop the analytical skills necessary to interpret forecasts and support evidence-based decision-making in financial and economic contexts.
先修課程名稱
課程與核心能力關聯配比(%) 課程目標之教學方法與評量方法
課程目標 核心能力 配比(%) 教學方法 評量方法
1. Identify key time series features such as trend and seasonality.
2. Build and evaluate benchmark and standard forecasting models.
3. Compare methods and communicate findings effectively.
習作
講授
討論
書面報告
口頭報告
作業
授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習)
週次 授課內容
第1週  No class (Holiday, 2/27)
第2週  Getting started
第3週  Time series graphics
第4週  Time series decomposition
第5週  Time series features
第6週  No class (Holiday, 4/3)
第7週  The forecaster’s toolbox (I)
第8週  The forecaster’s toolbox (II)
第9週  Midterm proposal (4/24)
第10週  No class (Holiday, 5/1)
第11週  Time series regression models
第12週  Exponential smoothing
第13週  ARIMA models
第14週  Dynamic regression models
第15週  Some practical forecasting issues
第16週  Final presentation (6/12)
自主學習
內容
   03.製作專題報告

學習評量方式
Assessment:
1. Midterm proposal (30%)
2. Final presentation (30%)
3. Homework assignments (30%)
4. Class participation (10%)

Course Policies:
1. Students are required to bring their own laptops for in-class exercises.
2. Lecture materials will be posted on the course website; please check regularly.
3. Homework and projects are group-based (max 6 groups); late submissions require prior approval.
4. Within-group and between-group peer evaluations are required and will affect individual grades.
5. Active engagement in discussions and workshops contributes to the final grade.
教科書&參考書目(書名、作者、書局、代理商、說明)
Hyndman, R. J. and Athanasopoulos, G. (2021), Forecasting: Principles and Practice. 3rd Edition. OTexts.
課程教材(教師個人網址請列在本校內之網址)
https://otexts.com/fpp3/
課程輔導時間
Friday, 14:10–15:00
聯合國全球永續發展目標(連結網址)
04.教育品質   08.就業與經濟成長提供體驗課程:N
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更新日期 西元年/月/日:2026/02/28 23:21:02 列印日期 西元年/月/日:2026 / 3 / 22
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