**Class Period:
1:00pm - 1:59pm MWF, Thompson Hall 303
Instructor: Mei Q. Chen**

**Office: Thompson
Hall 230, Office Phone: 953-7882
E-mail: chenm@citadel.edu
URL: http://macs.citadel.edu/chenm/343.dir/17.dir/syl.html **

Course Outline, Lecture Notes Homework/Solutions, Exams/Solutions, MatLab Programs |

**Course Goals:**

(1) An introduction to computer floating point number system and arithmetic.

(2) An introduction to numerical methods that are commonly used in approximating irrational numbers, root finding, curve fitting, numerical differentiation and numerical integration.

(3) An introduction to mathematical software **MatLab** and implementations of
numerical methods in **MatLab**.

**Textbook:** *Lecture Notes.
*

**Grading:** It is based on homework assignments, three
hour exams, and a comprehensive final exam.

**(1) Homework assignments: 25% **of the final course
grade.

* Homework *will
be assigned weekly. Homework
problems are designed to help you understand each numerical algorithm including
its derivation, convergence and error analysis and uses in solving equations,
curve fitting, numerical differentiation or integration. The mathematical software MatLab will be
used to implement numerical algorithms.

I truly believe that completing each homework assignment is very important in the process of learning. You are encouraged to work on homework assignments in pairs or to discuss problems or work in progress with me and your classmates. If a problem is solved by a team, please state the name of your team mate on your assignment.

**MatLab **is installed on
PCs in computer labs: Thompson 220, Thompson 215, Grimsley 326, and Physics
Lab.

**(2) Hour exams: 45% **of the final course grade.

**Three one**-**hour exams** are
tentatively scheduled for **October 4, October ? and November ?**,
respectively, all are on Wednesday. It will be re-announced a week before each
hour exam. Each hour exam covers the materials that have been discussed in
class since last hour exam. Hour exams are designed to test your understanding
of definitions, derivations of algorithms and skills of problem solving using
these algorithms. You are allowed to bring **3x5 note cards** with
definitions, algorithms and theorems for exams (**no examples** please).

**(3) ****Paper/Essay: 10% **of the final course grade**.
**A paper/essay about a historical development of numerical methods or
a real-world application of numerical analysis is required. Click here to
see a list of references for this paper.
Each paper should be
approximately 5 pages of text, double-spaced, 12-font, 1” margins, with a
minimum of three sources other than Wikipedia** . The first draft is due November 18, and
the final draft is due on December 9.
Each student is required to give a 5-8 minute Power Point presentation
about his/her paper on December 9. **Click here
to get a copy of Rubric that will be used for evaluation of the paper.

**(4) Final exam: 20% **of the final course grade.

The final exam will be comprehensive and similar to hour exams. It is scheduled
at 1:00-4:00pm on Saturday, December 12. You are allowed to bring **3x5 note cards** with definitions, algorithms and
theorems for the final exam (**no examples**
please).

**(5)** **Problem of
Week: **Two** **extra points will
be added to the final exam score for each correct answer.

**Grades** (overall average):

**A =** 90% - 100%, B = 80% - 89%, C** =** 70% - 79%, **D =** 60%
- 69%, **F
=** 59% or lower

**Office Hours/ESP Study/Help Sessions**:

`(1) `**Office Hours:** Hours: 2:30pm-3:30pm MTWRF or by appointment at any time.

(2) **ESP Study/Help
Sessions:** 8:00pm-9:30pm Tuesday
and Thursday, TH 230

If you need any assistance at hours different from listed ones, please make an appointment with me by email or phone.

*Last updated: August 22, 2017.*