离散数学概论 Discrete Mathematics Generality

Peking University via Coursera

Go to Course: https://www.coursera.org/learn/dmathgen

Introduction

# Course Review and Recommendation: 离散数学概论 (Discrete Mathematics Generality) ## Overview "离散数学概论" (Discrete Mathematics Generality) is a course offered on Coursera that delves into the foundational concepts of discrete mathematics, an essential area of study for computer science and information technology students. This course underscores the importance of discrete structures and logical reasoning, cultivating the vital skills needed for proficiency in the field of information technology. The curriculum covers a broad spectrum of topics, including mathematical logic, set theory, graph theory, abstract algebra, and formal languages with automata. Each of these areas is crucial for understanding the theoretical underpinnings of computer science. Besides equipping students with theoretical knowledge, the course emphasizes the practical application of logical analysis, structural hierarchy analysis, and isomorphism abstraction to effectively solve problems. ## Course Content and Syllabus The course is structured around key topics that build upon each other, making the learning experience both coherent and progressive. Here’s a brief overview of the syllabus: 1. **Mathematical Logic: Fundamental Concepts** - An introduction to the basic principles of logic, which serve as the foundation for further study. 2. **Mathematical Logic: Propositional Logic and Formal Systems** - Exploration of propositional formulas and their use in formal systems. 3. **Mathematical Logic: Predicate Logic and Formal Systems** - A deep dive into predicate logic, expanding the ability to express more complex relationships. 4. **Set Theory: Set Algebra** - Understanding the operations and properties of sets, which is crucial for managing collections of objects. 5. **Set Theory: Special Relations and Functions** - Completing the set theory knowledge by examining unique relationships and function types. 6. **Graph Theory: Basic Concepts of Graphs** - An introduction to graphs and their properties, delving into how they model relationships. 7. **Graph Theory: Special Graphs** - Studying particular categories of graphs that have specific applications and characteristics. 8. **Abstract Algebra** - Covering algebraic structures such as groups, rings, and fields that are foundational for advanced mathematics. 9. **Formal Languages and Automata: Basic Concepts** - Exploring how formal languages are constructed and their importance in computer science. 10. **Formal Languages and Automata: Finite State Machines** - Detailing finite state machines, a concept critical for understanding computational processes. 11. **Formal Languages and Automata: Turing Machines and Computation Theory** - An exploration of Turing machines, leading into deeper discussions about what can be computed. 12. **Final Exam** - Assessing the understanding and mastery of the course content. ## Course Delivery and Experience The course is delivered through a mix of instructional videos, interactive quizzes, and practical assignments that solidify understanding. The instructors present the material clearly, often providing real-world examples that help to contextualize abstract concepts. The layout of the course allows students to progress at their own pace, making it suitable for both beginners and individuals looking to reinforce their existing knowledge. ## Recommendations I highly recommend "离散数学概论" for anyone pursuing a career in computer science or information technology. The course not only builds a solid foundation in essential theoretical concepts but also equips students with problem-solving skills relevant to real-world scenarios. Whether you are a student preparing for advanced courses or a professional looking to refresh your knowledge, this course is an invaluable resource. Learners who engage with course materials and participate actively in assignments will find that they develop a robust understanding of discrete mathematics, enhancing their analytical skills and logical reasoning. In conclusion, "离散数学概论" is a comprehensive course that serves as a gateway to the world of computer science. Its strong emphasis on discrete structures and logical thinking makes it a must-take for aspiring tech professionals, providing a foundation that is both broad and deep. Don't miss the chance to deepen your understanding of this vital subject!

Syllabus

数理逻辑:基本概念

数理逻辑:命题逻辑及形式系统

数理逻辑:谓词逻辑及形式系统

集合论:集合代数

集合论:集合代数

集合论:特殊关系及函数

图论:图的基本概念

图论:特殊图

抽象代数

形式语言与自动机:基本概念

形式语言与自动机:有限状态机

形式语言与自动机:图灵机与计算理论

期末考试

Overview

离散数学是计算机科学的基础理论,离散结构的基础知识和逻辑思维的形式化是信息技术类学生的基本功,离散数学的基本概念是理科专业学生进行信息类课程学习的重要基础。 本课程介绍计算机科学和信息技术理论基础的概念和思想方法,介绍数理逻辑、集合论、图论、抽象代数和形式语言与自动机等各部分的基本概念,介绍离散数学基本概念和空间信息技术之间的联系与结合,培养学生理解和掌握离散数学基本概念,采用形式化方法分析问题,并能自觉运用逻辑分析、结构层次分析和同构类比等思想方法解决问题的能力。

Skills

Reviews

感谢老师!!老师总体讲的比较生动,能看得出来有认真备课,ppt上也都是重点。\n\n课程内容比较多、杂,难度确实蛮大的,想只通过课堂上学懂不太可能。不过,练习题难度基本都不大,稍微用心点记录笔记就可以通过了。

以文科大學畢業生的角度,撐過前兩週的內容(許多東西要背),後面會比較好理解。\n\n課程優點:概念涵蓋範圍廣、內容重點豐富、老師講解清楚\n\n課程缺點:有問題要多靠自己(發問從來沒有得到任何staff的回覆)\n\n課程期待:課程設計能再多元一點