Graduate Syllabus (2016-Spring Semester)


Course No/Title: G10645  /   Numerical Methods and Scientific Computing I 

Instructor: June-Yub Lee                SciComp Building A320(02-3277-3451)  

Class Time: Thur2~3(9:30~12:30)      Office Hour: Tues/Fri 10~11           

E-mail/Webpage: jyllee@ewha.ac.kr    http://math.ewha.ac.kr/~jylee         



1. Course Objectives

   We try to develop computational models for various problems in mathematics, sciences, and engineering. We study numerical methods and programming tools to get the computational results of such problems.



2. Required Materials

[C] Ke Chen, Peter Giblin, Alan Irving, mathematical explorations with Matlab, Cambridge University Press, 1999.


[G] Walter Gander, Jiri Hrebicek, Solving Problems in Scientific Compututing using Maple and Matlab, 2nd Ed, Springer. 1995. (4th/2004)



3. Supplementary Materials

Richard E. Crandall, Projects in scientific computation, Springer-Velag, The Electronic Library of Science(TELOS), New York, 1994


Stenen Koonin, Computational Physics, The Benjamin/Cummings Pub.



4. Evaluation System

- Homework : Programming in Matlab or any other language (F,C,C++)

- Computational Project : A report with program and documentation

- Final Project : Individual (or team) project of your own choice


4.  Weekly Syllabus

Week

Textbook Chapter

Subject

Note

1

C1. Introduction

C2. Matrices and Complex numbers

Matlab Primer

 

2

C3. Whole Numbers

C4. Graphs and Curves

"

 

3

C5. Representation of Data

C6. Probability and Random Numbers

"

 

4

C7. Differential and Difference Equations

"

 

5

C15. Iterations for Nonlinear Equations

Root Finding

 

6

C16. Matrices and Solution of Linear systems

Linear Algebra

 

7

C17. Function Interpolations and Approximation

C18. Ordinar Differential Equation

Approximation

ODE

 

8

Midterm Period

--

4/21(Thur)

9

C19. Checkout Queues

Modelling

 

10

Survey and Review

--

5/5(Thur)

11

C21. Epidemics

"

 

12

C23. Tides

"

 

13

  G3. The Illumination Problem

Numerical differentiation and optimization

 

14

  G5. The Internal Field in Semiconductors

2nd order elliptic PDE

 

15

  G9. Smoothing Filters

Denoising signals

 

16

Final Exam Period