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course information of 103 - 1 | 1149 Discrete Mathematics(離散數學)

Taught In English1149 - 離散數學 Discrete Mathematics


教育目標 Course Target

培養學生對於基礎數學(離散、組數)的認知與解題能力,而著重於基本原理的理解及其引申應用題目之解決方法與模式的訓練,借 以增進學生的理解、分析、組織、推理、應用等能力,更進而培養學生獨立思考、解決問題的能力。Cultivate students' understanding and problem-solving abilities of basic mathematics (discrete, group numbers), and focus on the understanding of basic principles and the training of solutions and models for extended applied problems. To enhance students' understanding, analysis, organization, reasoning, application and other abilities, and further cultivate students' ability to think independently and solve problems.


課程概述 Course Description

本課程為大學部三年級之必修課程,本課程除了教授學生們已知的數學外還教導學生們如何利用數理邏輯方法進行分析,建立出適當的模式,再發展出一個有效率的演算法來解決相關的問題。 本課程共有四個主要教學主題,分別為(一)教學推論(含基本運算和證明建構方法)、(二)組合學分析、(三)離散結構(含圖論)、(四)演算法 本課程教授上述四個主題之外,也強調相關的應用,例如使用基本整數論和知識,發展出和模算數相關演算法(如超大整數的四則運算),在進行RSA譯碼學分析。 學生們順利修讀本課程後,除了可以學習到一些數學的知識外,更重要的是建立符合邏輯的數理分析與推論態度與方法,碰到實務問題時,可以順利解析問題的重點,再運用或發展合宜的模式與演算法解決問題。
This course is a required course for third-year undergraduate students. In addition to teaching students the mathematics they already know, this course also teaches students how to use mathematical logic methods to analyze, establish appropriate models, and then develop an efficient algorithm. Solve related problems. This course has four main teaching themes, namely (1) teaching inference (including basic operations and proof construction methods), (2) combinatorics analysis, (3) discrete structure (including graph theory), and (4) algorithm In addition to teaching the above four topics, this course also emphasizes related applications, such as using basic integer theory and knowledge to develop algorithms related to modular arithmetic (such as the four arithmetic operations of very large integers), and conducting RSA decoding analysis. After students successfully complete this course, in addition to learning some mathematical knowledge, more importantly, they can establish logical attitudes and methods of mathematical analysis and inference. When encountering practical problems, they can successfully analyze the key points of the problem and then apply it. Or develop appropriate models and algorithms to solve problems.


參考書目 Reference Books

教科書 : Discrete and Combinatorial Mathematics ; Grimaldi ; 新月圖書。

參考書 :

1. Mathematical structures for Computer Science ; Gersting ; 新智書局。
2. Introduction to Combinatorial Mathematics ; C. L. Liu。
3. 離散與組合數學;劉涵初;華泰書局。
Textbooks: Discrete and Combinatorial Mathematics; Grimaldi; Crescent Books.

Reference books:

1. Mathematical structures for Computer Science; Gersting; Xinzhi Book Company.
2. Introduction to Combinatorial Mathematics; C. L. Liu.
3. Discrete and combinatorial mathematics; Liu Hanchu; Huatai Book Company.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
小考二次小考二次
Quiz twice
30 平時成績:+ 0 ~ 8
期中考期中考
midterm exam
30 作業成績:+ 0 ~ 6
期末考期末考
final exam
40

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Monday/7,Friday/6,7[C118]
授課教師 Teacher:黃宜豊
修課班級 Class:資工系軟工組2
選課備註 Memo:
This Course is taught In English 授課大綱 Course Plan: Open

選課狀態 Attendance

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