Page 93 - Academic Handbook FKM 2017-2018

SYNOPSIS REFERENCES
To develop students that are capable to define and a. Devore, J.L., 2008, Probability and Statistics for
apply principles of strength and stability in structures Engineering and the Sciences, 7th Edition,
and capable to evaluate structures strength in Thomson – Duxbury.
engineering design. b. Montgomery, D.C., Runger, G.C., 2007,
REFERENCES Applied Statistics and Probability for Engineers,
a. Beer, F.P, Johnston, E.R, and Dewolf, J.T., 2012, 5rd Edition, John Wiley.
Mechanics of Materials, 6th edition. in SI Units, c. Hayter, Anthony, J., 2007, Probability and
McGraw-Hill. Statistics for Engineers and Scientists, 3rd
b. Hibbeler, R.C., 2011, Mechanics of Materials, Edition, Thomson Brooks.
8th edition. In SI unit., Prentice Hall. d. Mann, P.S., 2005, Introductory Statistics Using
c. Vable, M., 2004, Mechanics of Materials, Technology, 5th Edition, John Wiley.
Oxford University Press.
d. Benham, P.P., Crawford, R.J., and Armstrong,
C.G., 1996, Mechanics of Engineering DENG 2223 FUNDAMENTAL ELECTRIC AND
Materials, Longman Group, Ltd., UK. MICROPROCESSOR
LEARNING OUTCOMES
At the end of this course, students should be able to:
DMCU 3082 STATISTICS LO1 Describe and identify the application of
LEARNING OUTCOMES digital circuits in microprocessor.
At the end of the course, students should be able to: LO2 Classify the numbering systems such as
LO1 Summarize data graphically and binary, decimal and hexadecimal.
numerically. LO3 Describe the concept and differentiate the
LO2 Identify clearly the concept of probability basic electronic component.
and its distribution. LO4 Perform experiments and present technical
LO3 Distinguish the use of population and sample report.
in inferential statistics. LO5 Demonstrate effectively throughout an
LO4 Determine the concept of estimation and individual assignment.
hypothesis testing for one population. SYNOPSIS
LO5 Apply the concept of correlation, linear This course will be divided into two sections; basic
model and slope testing appropriately. electronics and microprocessor technology. The first
SYNOPSIS section covers the topic on concept and function of
This course covers Data description and Numerical electronic components in a computer system (resistor,
Measures, Probability, Random Variables and capacitor, inductor, transformers, fuse, cable, diode,
Probability Distributions, Sampling Distributions, and transistor). The next section will deal with topics
Estimation, Hypothesis Testing, Simple Linear such as system numbers, logic gates, Boolean
Regression. operation, combination logic (type of flip flop),
register and digital circuit application in
microprocessor.

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