NAME OF COURSE/MODULE: NUMERICAL METHODS FOR ENGINEERING
COURSE CODE: KEH2323
NAME(S) OF ACADEMIC STAFF: Assoc. Prof. Dr. Janatul Islah Binti Mohammad
RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME: This course helps students to understand mathematical modelling and implement it in solving related engineering problems.
SEMESTER AND YEAR OFFERED: SEM 1/ YEAR 2
TOTAL STUDENT LEARNING TIME (SLT) FACE TO FACE TOTAL GUIDED AND INDEPENDENT LEARNING
L = Lecture

T = Tutorial

P = Practical

O= Others

L

42

T

6

P

6

O

0

 

Guided: 54 hours

Independent Learning: 66 hours

Total: 120 hours

CREDIT VALUE: 3
PREREQUISITE (IF ANY): NONE
OBJECTIVES: 1.   To provide an introduction to the solution of complex engineering and mathematical problems by using numerical methods.

2.  To provide students an introduction to MATLAB® in solving related engineering problems.

LEARNING OUTCOMES: Upon successful completion of this course, students should have the ability to:

CLO1: Analyse and solve the problems using related essential concepts, principles and theories (C4 – PO2)

CLO2: Display the ability to solve the problems related to numerical methods for engineering (P4)

CLO3: Demonstrate the ability to communicate and explain the concepts of numerical methods for engineering (A3)

TRANSFERABLE SKILLS: Students should be able to develop and enhance problem solving and communication skills.
TEACHING-LEARNING AND ASSESSMENT STRATEGY:

 

Teaching-learning strategy:

·   Problem-Based Learning

·   Outcome-Based Learning

Assessment strategy:

·   Formative

·   Summative

SYNOPSIS:

 

The course provides the use of modern computational and mathematical techniques in Electronic Engineering. Starting solving roots of equations numerically, it follows with linear algebra, 1-D and multidimensional optimisation as well as approximation of functions. Numerical integration and differentiation are covered. This course will conclude with numerical solution of ordinary differential equations. The use of these techniques will be demonstrated throughout the course using MATLAB®.
MODE OF DELIVERY: Lectures, Tutorials, Lab. Practical, Multimedia aid, Group Work
ASSESSMENT METHODS AND TYPES:
A. Continuous Assessment (50%)
Category Percentage
·    Test(s)

·    Assignment (Written report & group presentation)

20%

30%

B. Final Examination (50%)
i.          Examination 50% ·    Structured and essay type questions
MAIN REFERENCES SUPPORTING THE COURSE
  1.  Chapra, S.C. and Canale, R.P. (2010). Numerical Methods for Engineers. 6th Edition. McGraw-Hill (Main Text-Book)
ADDITIONAL REFERENCES SUPPORTING THE COURSE
  1.  Gilat, A. and Subramaniam, V. (2013). Numerical Methods for Engineers and Scientists (Hardcover). 3rd Wiley.
  2. Hoffman, D. and Frankel, S. (2001). Numerical Methods for Engineers and Scientists. 2nd Edition. CRC Press.
  3. Hamming, R.W. (1987). Numerical Methods for Scientists and Engineers. 2nd Edition. Dover Publications.
  4. Siauw, T. and Bayen, A. (2014). An Introduction to MATLAB® Programming and Numerical Methods for Engineers. Academic Press.
  5. Esfandiari, R.S. (2013). Numerical Methods for Engineers and Scientists Using MATLAB®. CRC Press.
  6. Kiusalaas, J. (2010). Numerical Methods in Engineering with MATLAB®. 2nd Edition. Cambridge University Press.
  7. Irons, B. and Shrive. N. (1987). Numerical Methods In Engineering And Applied Science: Numbers Are Fun. Ellis Horwood Ltd