シラバス参照

講義概要/Course Information
2020/04/28 現在

科目基礎情報/General Information
授業科目名
/Course title (Japanese)
Introduction to Computational Methods in Science and Engineering
英文授業科目名
/Course title (English)
Introduction to Computational Methods in Science and Engineering
科目番号
/Code
INT505z
開講年度
/Academic year
2020年度 開講年次
/Year offered
3/4
開講学期
/Semester(s) offered
前学期 開講コース・課程
/Faculty offering the course
情報理工学域
授業の方法
/Teaching method
講義 単位数
/Credits
2
科目区分
/Category
総合文化科目
開講学科・専攻
/Cluster/Department
情報理工学域
担当教員名
/Lecturer(s)
Hans-Georg Matuttis
居室
/Office
E4-721
公開E-Mail
/e-mail
hg@mce.uec.ac.jp
授業関連Webページ
/Course website
http://webclass.cdel.uec.ac.jp/
更新日
/Last updated
2020/03/23 13:02:58 更新状況
/Update status
公開中
/now open to public
講義情報/Course Description
主題および
達成目標
/Topic and goals
Computational methods have replaced analytical methods already
in many fields of science and engineering, and their importance
is still increasing. The aim of the lecture is to provide
fundamental criteria for the choice of  numerical methods, give an
overview about some available methods in some fields,
and give ideas about performance-oriented implementation
for such methods. Depending on the background and interest
of the auditory, some topics may be subject to changes.
前もって履修
しておくべき科目
/Prerequisites
First year Analysis and Linear Algebra, one procedural Programming Language
前もって履修しておくこ
とが望ましい科目
/Recommended prerequisites and preparation
無し
教科書等
/Course textbooks and materials
Scriptum can be downloaded from http://webclass.cdel.uec.ac.jp/,
further reading:
    A. L. Garcia, Numerical Methods for Physics, Benjamin-Cummings Pub Co,1999
       G.J. Borse: Numerical Methods with Matlab, International Thomson Publishing, 1997
授業内容と
その進め方
/Course outline and weekly schedule
1. Simple MATLAB-Synthax
2. How to write better programs
3. Non-numerical methods: Monte-Carlo techniques
4.  Representation of Numbers
5. Elementary numerical analysis I: What are numerical errors
6. Elementary numerical analysis II: How to get "correct" results from calculations "with error"
8. MATLAB Graphics
9. Introduction to numerical Linear algebra I:  Repetition 1st year Linear Algebra
10.  Introduction to numerical Linear algebra II: How to draw a line through
   more than 2 points (or maybe not)
11.  Introduction to numerical Linear algebra III: Least squared fitting
12. Polynomials and Roots   
13. Solving ordinary differential equations I: Basics
   Initial conditions, analytic solutions, Euler Method
14. Solving ordinary differential equations II: Higher order Methods
   Approaches to construct higher order methods, Runge-Kutta methods
15. Solving ordinary differential equations III: Advanced methods
   Adaptive Timesteps, energy conservation systems, stiff problems
実務経験を活かした
授業内容
(実務経験内容も含む)
/Course content utilizing practical experience
授業時間外の学習
(予習・復習等)
/Preparation and review outside class
無し
成績評価方法
および評価基準
(最低達成基準を含む)
/Evaluation and grading
Participation in the Lecture and Homework in the E-Learning System

  Depending on the activity level of the students, Mid-Term and End-Term
   exams will be held.
オフィスアワー:
授業相談
/Office hours
Friday, second slot, in East-4, Room 721、but if you contact me by E-Mail, other times are possible.
学生へのメッセージ
/Message for students
Lecture starts after the  the introduction to the computer system in the Jusst-Program has been held.
その他
/Others
Lecture starts after the  the introduction to the computer system in the Jusst-Program has been held.
キーワード
/Keyword(s)
Numerical Analysis, Scientific Programming