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所在平台: Udemy |
课程主页: https://www.udemy.com/course/solving-linear-equations-and-inequalities-for-beginners/
课程评论：没有评论
课程名称：初学者线性方程与不等式求解 课程概述：本课程主要涵盖三个主题：线性方程、线性连立方程和线性不等式。 1. **线性方程**： - 什么是线性方程？ - 解决任何线性方程的核心技巧。 2. **线性连立方程**： - 什么是连立方程？ - 通过代入法解决问题。 - 通过消元法解决问题。 - 超过两个方程的系统。 3. **线性不等式**： - 什么是线性不等式？ - 解决任何线性不等式的核心技巧。 - 复合与不等式（AND与OR）。 学习方式：课程采用经典的课堂形式，通过白板和记号笔，您将观看我讲解线性方程、连立方程和不等式的核心原则。我们将一起逐步解决一些例题，并通过提供的练习工作表巩固您的理解。课程被分为三个部分，每部分包含以下学习资源： - 视频讲座：介绍每个主题并清晰地解答示例问题。 - 练习工作表：每个视频配有相应练习问题的工作表。 - 答案表：每个工作表的答案表提供详细解决方案。 - 挑战工作表：每节课结束后，您可以通过挑战工作表检验自己的知识。 - 概述表：每个部分以概述表总结所覆盖的内容。 为什么选择本课程？学习线性方程是学习线性代数的良好起点，无论是为了学校考试、在大学课程前复习基础知识、职业发展，还是仅仅因为您对数学感兴趣！本课程通过简明的讲座快速带您掌握所需知识。 学习线性代数为您开启多种职业道路，包括图形学、AAA游戏公司、高端电影视觉特效、科学研究项目、银行业务和刚体动力学等！ 教师资格：我于2016年获巴斯大学计算机科学与数学一等荣誉学位，专攻纯数学与线性代数，涉及微分方程、积分到群论等主题。作为一个在电影视觉特效行业工作的软件开发者，我对数学和教学充满热情，期待能让您同样热爱代数！
What will we cover?Solving Linear Equations and Inequalities for Beginners covers 3 main topics:Linear EquationsWhat are linear equations?Core techniques that set you up for solving any linear equationLinear Simultaneous EquationsWhat are simultaneous equations?Solving by substitutionSolving by eliminationSystems of more than 2 equationsLinear InequalitiesWhat are linear inequalities?Core techniques for solving any linear inequalityCompound AND inequalitiesCompound OR inequalitiesHow will we learn?In this course we take it back to the classroom with a classic whiteboard and marker pens, and you'll watch over my shoulder as I explain the core principles involved in solving linear equations, simultaneous equations, and linear inequalities. You'll also work through detailed solutions with me to some example questions, and the practice worksheets provided for each video lecture will help you to solidify your understanding as we work through the course.The course is divided into 3 sections, where each of which contains the following learning resources:Video Lectures - each video lecture introduces a topic and provides clear, worked through answers to some example questions.Worksheets - each video lecture is accompanied by a corresponding worksheet of practice questions to solidify your understanding.Answer Sheets - an answer sheet is provided for each and every worksheet, complete with fully detailed solutions to all questions.Challenge Worksheets - at the end of each section you can take on the Challenge worksheet to put your knowledge to the test! These worksheets provide a collection of more difficult problems which combine all of the techniques learnt throughout the section. You should be capable of completing all of the worksheets provided with the course solely using the content taught in the lectures.Summary Sheets - each section concludes with a summary sheet outlining the content covered.Why take this course?Studying linear equations is a great place to start if you're interested in learning linear algebra, whether this is for your school exams, reviewing the basics before your University lectures, progressing your career, or you're simply excited about math! This course takes you through precisely what you need to know in a concise set of lectures that really focus in on the techniques and get you learning quickly.Learning linear algebra sets you up for a wide array of career paths, including graphics, AAA games companies or high end visual effects for films, as well as scientific research projects, banking, rigid body dynamics and more!Why I'm qualified to teach this courseI graduated from the University of Bath with a first class BSc (Hons) degree in Computer Science and Mathematics in 2016, and specialised the Mathematics half of my degree in "pure" mathematics and linear algebra, covering topics from differential equations and integration up to Group Theory. I specialised the Computer Science half of my degree in Computer Graphics and Computer Vision, and since graduating I have been working in the Visual Effects industry for films as a software developer, and most recently as part of a small team developing in-house rendering technologies. I have a personal passion and love for mathematics, as well as for teaching, and I hope I can convince you to love algebra just as much as I do!
