Subject to: Dimitris Bertsimas

Subject to: Dimitris Bertsimas

References for graduate students and my laboratory members

Knowledge to master for a better foundation (and future)

Tools and general: 

•  Adi Ignatius, “We Want to Make Ourselves Better”: The HBR Interview with Bob Sternfels, Harvard Business Review, January–February 2026. 

上課內容 (Teaching)

許志華，中原大學，電機資訊學院，工業與系統工程學系

• Please use the school's MS team account for online sessions. 
• Login Account: 學號@o365st.cycu.edu.tw, student_ID@o365st.cycu.edu.tw
• Please use browser-based login instead of the application program to avoid login problems.
• Please be considerate/polite, and show up only during the office hours of a course. The students in the lab need quiet time for their studies and research. 
• 講義上有的內容，請同學要先查看或聽影片。有問題或疑義，再詢問助教。
• Email: If you have further questions, please email the TA. (cc (副本) teacher: chhsu135 at Gmail) TA will handle your questions or concerns. TA will discuss with me if she/he cannot resolve the issues.
• 2026 秋 (Fall) 
• Dynamic Programming and Reinforcement Learning (動態規劃和強化學習)，博士班 (PhD)
• Form for you to fill in
• 助教：廖庭煜 (Angus)
• 作業研究 (上)，工業三乙
• 登記，課前預習和每週進度
• 助教：  (email:   at Gmail)，  ( ) (email:    at Gmail) 
• 辦公室時間：莊敬 302， (一) 15-17 pm， (二) 13-15 pm
• 翻轉教室 (Flipped classroom)，中原隨筆 (My days at CYCU)
• 學習數學的四個層次，專題和論文的製作與報告 (tips for the final project and your thesis)，上台報告的方法與建議。
• 課程組員互評表 (Evaluation form for team members)
• Deadline: the day for the last class meeting time
• Default: If no one answers, everyone will get the same score for project participation.  If only 1 person fills in the form, we will use that as the group score for project participation.
• The best way to contact me (email):  chhsu135 AT gmail DOT com (主旨：修課名稱和班級，學號，姓名) (Subject: Class, student ID, Name)
• 辦公室 (My office)：(工業系館) 莊敬大樓 (Building no. 23 for ISE) 201-3，電話 (phone)  03 265 4427。辦公室時間，四 3 - 5:50 pm (歡迎使用 Microsoft team)。導生 (分組登記)。FB，Threads。

(Plz read it first) Business Analytics Laboratory (商業分析實驗室)

(Important) Please read this webpage first if you want to join my lab and schdule an interview.

(26/8/6) New research results (COSMOS)

(26/8/3) Welcome to Charles, Melle, Gina, Peter, Yuto, and Teru, who have joined the lab for the 2026 Summer Camp, College of EECS.

(26/7/23) 恭喜品穎 (Pollie)、振宇 (Jeff)、旻為 (Willy)，順利完成碩士論文口試

(26/7/10) Another paper published in IJSS (Closed-loop EOQ)

(26/7/8) 115 學年度教育部校務發展獎補助計畫通過 (Industrial AI Teaching Platform)

(26/7/1) 國科會115 年度計畫通過 (NSTC project awarded)

Dynamic Programming and Reinforcement Learning (動態規劃和強化學習)

• Course objective: This course introduces dynamic decision-making under uncertainty, with an emphasis on dynamic programming and reinforcement learning. Drawing on applications in business and engineering, students will learn key theories and algorithms for solving multi-stage decision problems, both with and without explicit models of the environment. Assignments and a final project provide practical experience in problem formulation, algorithm evaluation, and Python-based implementation.