NAME OF COURSE/MODULE: COMPUTATIONAL PHYSICS PRACTICAL
COURSE CODE: SFC 4031
NAME(S) OF ACADEMIC STAFF: DR AHMAD NAZRUL ROSLI
RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME: This course will help student to apply the computational technique in the real physics problem.
SEMESTER AND YEAR OFFERED: SEM 7 / YEAR 4
TOTAL STUDENT LEARNING TIME (SLT) FACE TO FACE TOTAL GUIDED AND INDEPENDENT LEARNING
L = Lecture

T = Tutorial

P = Practical

O= Others

L

3

T

 

0

P

 

18

O

 

19

L + T + P + O = 40 HOURS

CREDIT VALUE: 1
PREREQUISITE (IF ANY): NONE
OBJECTIVES: 1.     To express the student with the statistical error in analyzing the data critically

2.     To enhance student understanding in the concept and principal of physics using computational method.

3.     To evaluate students ability to convey the decision experiment through writing report, discussion and officially oral report.

LEARNING OUTCOMES:

 

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

1.     Predict, follow and report the mechanism of the project given. (LO3 – CTPS5, C5)

2.     Construct, discuss and produce the experimental design of the case given. (LO2 – P5)

3.     Demonstrate, respond and present the finding from the project given. (LO4 – TS3, CS4)

4.     Prepare original report and display professional skills (LO6 – LL2, A4, EM2)

TRANSFERABLE SKILLS: Students should be understood the concept of computational method and able to produce a solution for physics program using computational method.
TEACHING-LEARNING AND ASSESSMENT STRATEGY: Teaching-learning strategy:

  • The course will be taught through a combination of formal lectures, assignments, group work, blended learning using authentic materials, informal activities and various textbooks.

Assessment strategy:

  • Formative
  • Summative
SYNOPSIS: Computational Lab is designed to cover techniques used in modeling physical systems numerically and analyzing data. It is designed to help the students gain experience with programming languages in carrying out this work. It is also important to solve physics problem using computational method and report the result using oral and writing.
MODE OF DELIVERY: Practical and presentation
ASSESSMENT METHODS AND TYPES:
A. Continuous Assessment (100%)
Category Percentage
·    Report

·    Presentation

·    Group discussion

60%

25%

15%

MAIN REFERENCES SUPPORTING THE COURSE Callister, W. D.  Jr, Materials Science and Engineering, An Introduction, 2003, John Willey & Sons.
ADDITIONAL REFERENCES SUPPORTING THE COURSE 1.   Smith, W. F., Foundations of Materials Science, 2004, McGraw-Hill.

2.   Ohring, M., Engineering Materials Science, 2002, Academic Press.

3.   Budisnki,K. G., Engineering Materials: properties and selection, 2002,  Prentice Hall.

4.   Jacobs, J. A., Engineering Materials Technology: structures, processing, properties, and selection, 2001, Prentice Hall.

5.   Timings, R. L., Engineering Materials, 1998, Longman.