1. 熟悉線性方程組的解法，與其應用。
2. 熟悉矩陣的基本運算，與其應用。
3. 熟悉線性規劃的簡形法，與其應用
4. 熟悉離散機率模型與其應用
5. 學習連續機率模型與其應用
6. 學習馬可夫鍊，賽局論與其應用
7.學習以微積分為工具的最佳化方法。

1. Be familiar with the solutions to linear equations and their applications.
2. Be familiar with the basic operations of matrices and their applications.
3. Be familiar with the simplified method of linear programming and its application
4. Familiar with discrete probability models and their applications
5. Learning continuous probability models and their applications
6. Learn Markov chain, game theory and its applications
7. Learn optimization methods using calculus as a tool.

管理數學為商管領域中數量方法的基礎，其內容主要包含線性代數、微積分、以及機率理論三大項，並搭配生活實務上的應用，如複利、線性規劃、馬可夫鏈、決策理論等等。本課程適合已修過微積分相關課程者，目標是使學生對基本數學感到熟悉，並了解管理數學如何應用在解決實務上面臨之問題。

Management mathematics is the basis of quantitative methods in the field of business management. Its content mainly includes three major items: linear algebra, calculus, and probability theory, and is paired with practical applications in life, such as compound interest, linear programming, Markov chains, decision theory, etc. This course is suitable for those who have taken calculus-related courses. The goal is to make students familiar with basic mathematics and understand how management mathematics can be used to solve practical problems.

1. Michael Sullivan, Finite Mathematic: An Applied Approach, 11th Edition, Wiley.
2 趙可南，管理數學（參考書1. 的中文編譯本），滄海書局。
3. 張保隆，現代管理數學，二版，華泰文化。

1. Michael Sullivan, Finite Mathematic: An Applied Approach, 11th Edition, Wiley.
2 Zhao Kenan, Management Mathematics (Chinese translation of Reference Book 1.), Canghai Book Company.
3. Zhang Baolong, Modern Management Mathematics, second edition, Huatai Culture.