一些常聽的 Podcast 節目和培養英文聽力的方法

一些常聽的 Podcast 節目 (*)，適合坐車、(讓眼睛) 休息、睡前、或運動時聽

• Acquired: 
• Google search: Stories about its technology and business model
• How ARM Became The World’s Default Chip Architecture (with ARM CEO Rene Haas)
• The Complete History & Strategy of Microsoft: Vol. I, Vol. II 
• Renaissance Technologies: The best-performing investment firm of all time. A book. The hosts even talk about the hidden Markov process!
• TSMC Founder Morris Chang
• American Public Media: Marketplace
• Asianometry: Global Semiconductor Issues, Semiconductor "Course", TSMC Analysis
  

The most-cited papers of the twenty-first century

Helen Pearson, Heidi Ledford, Matthew Hutson & Richard Van Noorden, Exclusive: the most-cited papers of the twenty-first century: A Nature analysis reveals the 25 highest-cited papers published this century and explores why they are breaking records, Nature, 15 April 2025. (Supplementary information)

Papers in AI:

Adaptive Forests For Classification

D. Bertsimas and Y. Cui, Adaptive Forests For Classification, arXiv:2510.22991, 2025. (code)

Business Analytics Laboratory (商業分析實驗室)

(News) 恭喜品穎 (Pollie)、振宇 (Jeff)，主動使用英語完成實驗室論文報告 (準備出國參加研討會)

(News) 歡迎凡玨、宇翔、和可勳的加入

(News) 暑假上山喝咖啡、聽黑膠

(News) 國科會114年度 【 公平最佳決策樹和其應用 】計畫通過

(News) 恭喜庭煜 (Angus)，順利完成 (4 + 1) 碩士論文口試 (實驗室有外籍生，自動使用全英報告與問答)

(News) 恭喜豐安和苑馳，工業系設施規劃學科競賽特優

If you are interested in operations research, machine learning, data science, and its real-world applications (in supply chain, business, smart manufacturing, etc.), please email me your resume and transcript to schedule a meeting or online chat. Please refer to this blog for more details about your resume.

• Key infor: Guides for students,   Tips for the final project and your thesis
• Meeting: Group meeting,  Meeting schedule
• Further infor: Optimization,  Machine learning and AI

We welcome students with computer science, math and statistics, physics, and (industrial) engineering backgrounds to join our lab. 

大學的隱藏學分

王宏恩 (FB 貼文)

芝加哥經濟博士候選人一篇超酷的論文：《大學的隱藏學分 The Hidden Curriculum》。為何家裡第一個上大學的學生，表現往往不如家裡父母輩也有上過大學的學生 (GPA 低 6%、找到實習的機率低 3%)？