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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-mathematical-coding-in-python/
课程评论：没有评论
Coursera 上的 "Learn Mathematics in Python" 课程旨在通过 Python 编程语言教授数学概念，引导学习者从基础数学计算过渡到使用 Python 进行高级数学应用。 课程将采用“从简到繁”的教学方法，首先从简单的数学算法和公式入手，并结合屏幕板讲解概念和示例。在掌握了基础之后，课程将深入到代数，学习如何用 Python 定义和编码代数主题，并通过图形化展示代数方程。 线性代数是课程的另一个重要部分，将涵盖矩阵、行列式、高斯消元法、线性组合、基、向量、范数以及线性相关和独立等概念。 在统计学方面，课程将教授如何使用 Python 计算均值、众数、中位数、标准差，以及进行回归和相关性分析，涵盖分组和非分组数据，并结合概率知识。 微积分是课程的高级主题，将深入学习极限与连续、微分、积分、平面曲线问题以及坐标几何的 Python 编码实现。 此外，课程还将教授如何利用 Matplotlib 和 Numpy 等 Python 库绘制数学函数图。三角学部分将通过编码学习三角恒等式以及弧度和角度的转换。回归和相关性分析将通过编码和可视化散点图来展示数据。 课程还会详细介绍复数系统，包括加减乘除和求辐角的操作。最后，课程将介绍如何在 Python 中使用 LaTeX 库书写数学公式，实现抽象数学方程的表示。 课程目标是提升学生对数学的理解水平，使其能够运用 Python 进行数学计算和应用，学习新的数学学习技巧，通过 Python 解释简单概念，让所有学生都能学习数学，并为所有水平的学习者提供新的探索途径。
< Step-by-step explanation of more than 7.5 hours of video lessons on python>Learn Mathematics in Python:In this course, you will learn mathematics through coding in Python. We will start with basic mathematical coding in python and end by using the teaching techniques "Maxims of the teaching"(simple to abstract). In the beginning, we will do simple math algorithms and formulas in Python. We will also use the screen board before coding in python to illustrate the concepts and understanding of definitions and examples. After an hour of dipping into the course, you will jump toward the next level of learning. Then we will switch our techniques from basics math to algebra. Algebra coding is super interesting in Python. We will define the algebra topics by examples and code them in Python. Graphing of different algebraic equations is one of the extra interesting parts of this section.Our next will be linear algebra, We will master matrices, determinants, the Gauss method, linear combination, basis, vectors, norms, linear dependence, and independence.In statistics, you will learn to mean, mode, median, standard deviation, regression, and correlation analysis for both group and ungrouped data by coding in Python. We will also learn about probability along with statistics.Calculus: is an advanced topic and here we will master limits and continuity, differentiation, integration, plane curve problems, and coordinate geometry by coding in Python.Sketching: We have learned to sketch mathematical functions at high school but do you know how this is super interesting in Python by using Python libraries like Matplotlib and Numpy? Trigonometry: We shall learn the trigonometric identities, angles in radians, and degrees through coding in PythonRegression and Correlation Analysis: Here we shall learn the coding of regressional and correlational data in Python. We will plot the scattering curves as well to show the data visualization in Python.Complex Numbers System: A comprehensive discussion has been made about complex number systems. How to add, subtract, multiply, and how find the argument of complex numbers through coding in Python.Latex in Python: This section includes the abstract equation in Python. Latex is another library of Python. How to write mathematics in Python. We shall do a comprehensive discussion in this section.Course Objective: 1. We want o give the next level of understanding of mathematics from casual calculation to the use of Python. 2. Learning new techniques of learning mathematics.3. Explanation of simple and easy concepts by the use of Python4. Making learning possible for every student to learn mathematics.5. New exploration for all levels of learners.
