此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
利用大數據解決經濟與社會問題 使用迴歸、準實驗方法與機器學習等統計與資料分析技術，分析並提供當前社會與經濟問題的解決方案。主題包括所得與社會流動性、機會平等、教育、創新與創業、醫療保健、司法判決與氣候變遷。講課、實驗室，每週4小時。注意：本課程可能以多種授課模式提供。授課方式將列於該學期的學術時間表。
條件與方式
- 注意：此課程可能以多種授課方式開設。授課方式將在適用學期的學術時刻表中列出。
原文參考文本
Using Big Data to Solve Economic and Social Problems Analyzing and providing solutions to current social and economic problems using statistical and data analysis techniques such as regression, quasi-experimental methods, and machine learning. Topics include income and social mobility, equality of opportunity, education, innovation and entrepreneurship, health care, judicial decisions, and climate change. Lectures, lab, 4 hours per week. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
來源與參考
保留日期與來源以協助你核實資料。為便於閱讀提供譯文；官方來源為條件與要求的參照。
來源參考 : https://brocku.ca/webcal/2024/undergrad/econ.html