KM3043 Numerical Computation (Pengiraan Berangka)


 

Lecturers

Prof Ir Dr Ahmad Kamal Ariffin Bin Mohd Ihsan     (7 weeks).

Prof Dr Prakash Thamburaja                             (7 weeks).

www.ukm.my/kamal3/cm

 

Timetable

 

Lecture

Monday

10 am – 12 pm

DK5

 

Wednesday

8 am – 9 am

DK2

 

 

Akademic calender  

 

Course structure   

 

Course outcomes

 

At the end of this course, students are able to to analyse complex engineering problems by transforming it into simple and logic using numerical computations (PO1); to apply basic science and engineering  principles to solve complex problem numerically (PO2); to solve engineering structures or systems using numerical methods by the aids of computer softwares (PO3); to integrate engineering analysis (including load and stress analysis) with selected appropriate numerical technique to solve a given real engineering problem (PO3).

 

PO1 – Engineering knowledge

PO2 – Problem analysis

PO3 – Design and development of solutions

 

 

          Advice: One hour of class, the student should make his own reading of at least 2 hours. The number of hours should be increased for students who are weak or have a low grade especially below 2.5.

 

Suppose you take 15 units, the total number of courses including lectures is at least 40 hours. This means that if you study 5 days a week, the time to study for yourself is at least 5 hours. If 6 days at least 4 hours and 7 days at least 3 hours 30 mins.

 

If this is followed by this advice, I believe students will have no problem understanding, do not know the application, not enough training, can not do computer programming.

 

 

Details

 

Week

Topic/Chapter/Note

Descriptions/Assignments

Lecturer

1

 

 

 

2

1.    Errors, Computer, Software & Apps/pdf

PART ONE

Examples of the applications of numerical methods.

 

Assignment #1 – What is the definition of Numerical/Computational Method (CM)? Why must use CM? What other topics provided by other university? Give any other useful website.

 

Self excercise from Bab 1 using MATLAB

Download scilab, and Search for ‘scilab note pdf’

 

Assignment #2 – Compare the MATLAB & SCILAB source code for the problems in Bab 1.

 

Motivation #1: What should I do as a student?

 

Comparison of understanding such as level # below;

content in class ############

student understanding I ####

student understanding II #######

effort after class ###############################

(through reference books, exercises, understanding can be multiplied)

 

AKA

3

 

 

 

 

4

2. Systems of Non-Linear Equations/pdf

PART TWO

Closed methods, Open methods, Polynomial roots,

Applications of Roots of Equations

 

 

Assignment #3

 

[Exercise 1] [excel programming e.g.]

 

 

Motivation #2: What check-list should I have?

1.    1. Come to class

2.    2. Review lecture notes

3.    3. Review of reference books (Chapra or so)

4.    4. Complete the tasks & questions

5.    5. Run programming (excel, MATLAB, SCILAB or others)

6.    6. Discussion in the group

7.    7. Appointment with lecturer if necessary

Not only this subject should follow this check-list but all the subjects. Your understanding will be multiplied.

 

"Saya manusia biasa yang menjadi luar biasa setelah mengenalpasti potensi diri dan membuat keputusan untuk berkongsi dengan lebih ramai lagi orang lain untuk menjadi luar biasa!" – Dr. Azizan Osman

AKA

5

 

 

 

6

3. Systems of Linear Equations /pdf

PART THREE

Gauss elimination  [Gauss.xls], LU decomposition & Iteration methods

 

Applications of Linear System of Equations

Contoh Jacobi & Gauss-Seidel.xls

 

Assignment #4, quiz

Exercise 2

PT

 

 

Semester break

 

7

 

 

 

4. Optimisation/pdf

PART FOUR

Assignment #5

Exercise 3

PT

8

 

 

 

 

 

5. Interpolation and curve fitting/pdf

 

 

PART FIVE

Regression Splin Fourier

Applications of interpolation and curve fitting

 

Assignment #6

 

Exercise 4

PT

9

 

 

 

6. Numerical integrations/pdf

PART SIX

Gauss quadrature integration

Application of Numerical Integration

Assignment #7

Exercise 5

PT

10

 

 

11

7. Ordinary differential equations/pdf

PART SEVEN

Runge Kutta

Application of ODE

Assignment #8

Exercise 6;

PT

12

 

 

13

8. Partial differential equations /pdf

PART EIGHT

Runge Kutta

Application of PDE

Assignment #9

Exercise 7

AKA

14

 

Project presentation

 

 

 

 

Study week

 

 

Exam week -  Final exam KM3043/KQ3014

‘SELAMAT MAJU JAYA’

Past year questions |02/03|04/05|05/06|06/07|07/08|

 

 

 

 

Evaluation

 

Assignment [A] – 20-40%

Project [P] – 20-30%

Final Exam [E] - 40-50%

 

 

Reference book

Numerical Methods for Engineers, Chapra, S.C. & R. P. Canale, 2010, 6/e., McGraw-Hill: New York.

 

Pengiraan Berangka Kejuruteraan, Ahmad Kamal Ariffin & Shahrir Abdullah, Penerbit UKM, 2000 (cetak ke-2 2011), pps. 266. ISBN 967-942-499-5.

 

MATLAB – Aplikasi Dalam Kejuruteraan, Ahmad Kamal Ariffin & Mohd Jailani Mohd Nor, McGraw-Hill, 2002, pps. 119. ISBN 967-942-499-5. Bab 2 [m-files]

 

 

Other reference

www.me.pdx.edu/~gerry/nmm/course/

 

Applications of numerical computations

http://www.ontonix.com/

 

Additional info

http://numericalmethods.eng.usf.edu/

http://www.mathworks.com/moler/chapters.html

 

Useful link

Lecture Notes. Tutorials. Books

Free Mechanical Engineering: Finite Element Analysis

International Association for Computational Mechanics

 

 


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updated 10 September 2018


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