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 and applications of linear equations.
2. Be familiar with the basic calculation of matrix and its application.
3. Be familiar with the simplified approach of linear planning and its application
4. Be familiar with the dispersion probability model and its application
5. Learn the continuous probability model and its application
6. Learn Markov tycoons, matchmaking discussions and their applications
7. Learn the optimization method of using microsegment 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 business management field. Its content mainly includes three major items: linear generation, micro-score, and probability theory, and is combined with practical applications in life, such as complexity, linear planning, Markov links, decision theory, etc. This course is suitable for those who have already studied microscore-related courses, with the goal of making students familiar with basic mathematics and understanding how management mathematics can be applied to solve problems in practice.
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.), Huahai Book Bureau.
3. Zhang Baolong, modern management mathematics, second edition, Huatai culture.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業與平時成績 作業與平時成績 Work and daily performance |
20 | |
| 考試（小考，期中考、期末考）4-6次考試（小考，期中考、期末考）4-6次 Exam (small exam, midterm exam, final exam) 4-6 times |
80 |
