校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

數值分析

Numerical Method

學期
111-2
學分
3 學分
當期課號
132305
永久課號
BEBE20014
開課單位
生物醫學工程學系
授課教師
鄔蜀威
校區
陽明
類別
選修
上課時間表
週三
2
09:00–09:50
數值分析
YEA200
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

To explore complex systems, engineers require computational methods since mathematical models are only rarely solvable algebraically. The research methodology of science is shifting from "theory + experiment" to "theory + experiment + computation", and people even use the term "data science". The numerical method is one of the most important parts of data science. Such methods include techniques for differentiation and integration, interpolation from the known to the unknown, and linear algebra underlying systems of equations. Besides, we also introduce the cryptology and the machine learning fundamentals.

教學方式

On completion of this course students will able to: 1. Understand numerical techniques to find the roots of non-linear equations. and the solution of system of linear equations. 2. Understand the difference operators and the use of interpolation. 3. Understand numerical differentiation and integration. 4. Understand the cryptology and its applications. 5. Understand the principles of machine learning.

評分方式

Course attendance: 20% Midterm examination: 40% Final report: 40%

週次計畫
週次主題
第 1 週1. Introduction 2. Preliminary Computer Science 3. Errors
第 2 週1. Taylor Series 2. Solutions of Equations of One Variable
第 3 週Interpolation and Curve Fitting
第 4 週Splines and Piecewise Interpolations
第 5 週Solution of Simultaneous Linear Algebraic Equations
第 6 週Numerical Integration
第 7 週Numerical Differentiation
第 8 週1. Midterm Examination 2. Introduction to Finite Element Methods
第 9 週Cryptology (I)
第 10 週1. Cryptology (II) 2. Virtual Currency and Blockchain
第 11 週Introduction to Machine Learnibg
第 12 週Optimization
第 13 週Regression Analysis
第 14 週Algorithms of Supervised Learning(I)
第 15 週Algorithms of Supervised Learning(II)
第 16 週Algorithms of Unsupervised Learning
第 17 週Manifold Learning
第 18 週Web-Based Learning: Python Programming Language
教科書

S. C. Chapra, Applied Numerical Methods with MATLAB for Engineers and Scientists, 3rd ed., McGraw-Hill, 2011. (高立圖書)