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所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-mathematics-for-business/
课程评论：没有评论
## 应用商业数学课程总结 本课程“应用商业数学”旨在为管理科学、商业、经济学和社会科学领域的学生提供关键的数学知识和技能。课程内容涵盖了广泛的主题，旨在帮助学生理解和应用数学概念来解决实际的商业和经济问题。 **核心主题包括：** * **线性方程及其应用：** 深入探讨线性方程的概念，并展示其在各种商业和经济模型中的应用。 * **线性方程组：** 学习线性方程组的解法，并通过实际示例解释其在日常生活中的应用。 * **线性不等式：** 理解线性不等式的概念，并学习如何在数轴上表示和求解它们。 * **利用工具解决线性方程组：** 掌握使用Microsoft Excel和Python来求解线性方程组，并将其应用于商业和管理模型。 * **矩阵技术：** 学习使用矩阵技术，如高斯-约旦消元法和高斯消元法，来解决线性方程组。 * **数学函数：** 介绍数学函数的基本概念，并重点关注线性成本函数、线性收益函数、线性利润函数和盈亏平衡模型。 * **金融数学：** 涵盖简单利息、复利、年金、成本效益分析等重要金融概念，并通过Python图表直观展示简单利息与复利的区别。 * **线性规划导论：** 学习线性规划的基本概念，并介绍单纯形法、大M法、对偶法等各种求解技术，辅以图形化方法。 本课程适合所有层次的管理、商业和经济学专业的学生。通过学习，学生将能够熟练运用数学工具来分析商业数据、优化决策过程，并提高解决复杂商业问题的能力。
Welcome to Applied Business Mathematics. As we all know that Mathematics is the mother of all sciences even social sciences. In this course, Mathematics is a key role in the education of students belonging to Management Sciences, Business, Economics, and the Social Sciences. This course is appropriate for all levels of management, business, and economics students. This course focuses on the following topics:Study concept of Linear Equation and its applications in different business and economic models.Study System of Linear Equations along with applications in daily life with the help of different examples. Linear Inequality along with their solutions on the number line with various examples.Using MS Excel and Python to solve System of Linear Equation with application in different business and management models.Solve System of Linear Equations using Matrices techniques like Gauss Jordan Method and Gaussian Elimination Method.Concept of Mathematical Function along with concepts of Linear Cost Function, Linear Revenue Functions, Linear Profit Functions, Break-Even Models.In the Finance Mathematics section, we will focus on Simple and Compound Interest, Annuities, Cost-Benefit Analysis, and some more useful concepts, and compare the difference between Simple and Compound Interest with the help of graphs in Python.An introduction to Linear Programming with different techniques like Simplex Method, Big-M Method, Dual Method along with some graphical techniques.
