CS212 : Numerical Methods and Applications

Department

Department of Computer

Academic Program

Bachelor in computer

Type

Compulsory

Credits

03

Prerequisite

MM112

Overview

An introduction to numerical methods in the fields of science and engineering. The most important topics are floating point arithmetic, systems of linear equations, approximation operations and error analysis - solving one equation, solving a system of linear and nonlinear equations, interpolation, numerical calculus and integration, with the use of programming Basic or applied (math_lab) to solve problems and topics by numerical methods.

Intended learning outcomes

1 Recognize the basic concepts of numerical methods

2 Explain the difference between solutions by numerical methods and mathematical methods

3 Distinguish how to find the percentage of error

4 Describe the difference between the different methods and the closest to the correct solution

5 shows the MATLAB environment

6 Compare the methods of solving using numerical methods with the known mathematically

7 Explain the uses of MATLAB

Teaching and learning methods

1. Lectures2. Labs3. Problem solving

Methods of assessments

T

evaluation methods

Rating date (week)

percentage

1

midterm exam

The fifth week

30%

2

oral exam

-

-

3

Practical exam

Tenth week

10%

4

final exam

Fourteenth week

60%

5

Activity

-

-

the total

100%

Course content

the week

Scientific subject

The number of hours

a lecture

Lab

exercises

discussion

1-2

Solve nonlinear equations

8

2

4

Ö

2

3-4

Solve equations with more than one unknown

8

2

4

Ö

2

5

First midterm exam

6-7

Solving linear equations by direct methods

8

2

4

Ö

2

8-9

update

8

2

4

Ö

2

10

Second midterm exam

11-12

numerical integration

8

2

4

Ö

2

13-14

Numerical differential

8

2

4

Ö

2

final exam

15-16

the total

56