MATH 230: Introduction to Numerical Methods (Spring 2009)

Mon 15:00-15:50, Fri 10:30-11:20; Room 4619

 


Instructor: Mo Mu
Rm3482, x7446
http://www.math.ust.hk/~mamu
Office Hours: Friday 11:30-12:30
 

Teaching Assistant:

Luo Jun/maluojun T1a Thur 09:00am - 09:50am 3598

Luo Jun/maluojun T1b Tue 09:00am - 09:50am 3598

Gao Min/gaomin T1c Thur 18:30pm - 18:20pm 2463
Office Hours:  to be announced by TA in the tutorial session 

Course Description

This course presents numerical methods for solving mathematical problems in science and engineering. It covers solution of nonlinear equations, interpolation and approximation, numerical integration and differentiation, solution of differential equations, and matrix computation.


Course Material

Textbook:

Numerical Analysis, 8th ed., by Burden, R.L. and Faires J. D., Thomson Brooks/Cole.
 

Book companion site: http://www.as.ysu.edu/~faires/Numerical-Analysis

 

Topics

 

Homework


Course Work and Grading Policy

Homework: Assigned and graded, but not marked. Solutions will be provided.

Midterm Exam: 30%,  Time: 7:00-8:30pm, Monday, March 23, 2009, Venue: LTC. Topics to be covered up to Section 8.1 as in the list of topics.

 

Final Exam: 70%. All materials taught in the whole semester will be tested, including those already tested in the midterm exam. But focus will be on those topics not covered in the midterm exam.

 

Exam Policy:

Exams are closed books and notes, and no formula sheets are provided (but, Table 4.11 will be provided). However, you are allowed to bring one 3in x 5in note card (front and back) to write whatever you think helpful or necessary. Calculators approved by Hong Kong Examinations and Assessment Authority (香港考試及評核局) are allowed. Use 5-digit rounding arithmetic in all calculations.

 

Hope you enjoy this course. Thank you very much!


Intended learning outcomes for Math230:

Upon the end of the course, students should be able to:

1. Develop an understanding of the core ideas and concepts of Numerical Methods.
2. Be able to recognize the power of abstraction and generalization, and to carry out investigative mathematical work with independent judgment.
3. Be able to apply rigorous, analytic, highly numerate approach to analyze and solve problems using Numerical Methods.
4. Be able to communicate problem solutions using correct mathematical terminology and good English.

Last Revised: 16 January 2009


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