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COURSE OUTLINE
Department and Faculty: Department of
Mathematical Sciences
Faculty of Science
Course: SSCE 2193– Engineering Statistics
Total Lecture Hours: 42 hours
Lecturers
Muhammad Fauzee Hamdan, Dr ( C )
Haliza Abd Rahman, Dr
Mohd Ariff Admon, Dr
Mohd Radzi Poh, Tn Hj.
Muhammad Hisyam Lee, Prof. Dr.
Norazlina Ismail, Dr.
Noraslinda Mohd Ismail, Pn.
Norhaiza Ahmad, Dr
Zuhaimy Hj Ismail, Prof. Dr.
Page: 1 of 5
Version: 3.0
Date of Amendment: 12/2/17
Semester: II
Academic Session: 2016/2017
Section No
Tel No
Room No
E-mail
15, 18, 48
30, 31, 32
62, 63
50
52
17, 47, 51
16, 33, 34
11
49
07-5534285
07-5534323
07-5534338
019-7457521
07-5534236
07-5534229
07-5534322
07-5534321
07-5534224
C13-327
C10-321
C10-416
C22-416
C22-417
C10-330
C10-336
C22-434
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
This course begins with basic statistics, elementary probability theory and properties of probability distributions.
Introduction to sampling distribution, point and interval estimation of parameters and hypothesis testing are also
covered. Simple linear regression and one-way analysis of variance are also taught in this course.
Learning Outcomes
By the end of the course, students should be able to:
No.
CLO1
CLO2
CLO3
CLO4
CLO5
Course Learning
Outcomes
Describe data
numerically and
graphically using any
statistical tools.
Use random
variables concept in
probability
distributions of a
parameter and a
statistic.
Use statistical
methods for
inference and
decision making in
engineering statistics
problem.
Use analysis of
variance on
engineering statistics
problem.
Use simple linear
regression on two
variables linear
relationship.
Programme
Learning
Outcome(s)
Addressed
PO1
PO1
PO1
Taxonomies Weightage
(C, P, A)
(%)
C1, P2, A2
C3, P3, A2
C3, P3, A2
5
26
41
Test 2 (15%)
Final Exam
(26%)
C3, P3, A2
14
PO1
C3, P3, A2
14
Certified by
Name:
Signature:
Date:
Quiz 1(5%)
Quiz 2 (5%),
Test1 (15%)
Final Exam
(6%)
PO1
Prepared by
Name: Dr Muhammad Fauzee Hamdan
Signature:
Date:12 Feb 2017
Assessment
Methods
Final Exam
(9%)
Assignment
1a (5%)
Final Exam
(9%)
Assignment
1b (5%)
COURSE OUTLINE
Department and Faculty: Department of
Mathematical Sciences
Faculty of Science
Course: SSCE 2193– Engineering Statistics
Total Lecture Hours: 42 hours
Page: 2 of 5
Version: 3.0
Date of Amendment: 12/2/17
Semester: II
Academic Session: 2016/2017
STUDENT LEARNING TIME (SLT)
Student Learning
Time (hours)
Teaching and Learning Activities
1. Face-to-Face Learning
a. Lecturer-Centered Learning
i. Lecture (3 hrs x 14 weeks)
42
a. Student-Centered Learning (SCL)
ii. Laboratory/Tutorial
Student-centered learning activities – Active
Learning, Project Based Learning
-
2. Self-Directed Learning
a. Non-face-to-face learning: Group assignment
10
b. Revision
53
c. Assessment Preparations
9
3. Formal Assessment
a. Continuous Assessment
3
b. Final Exam
3
Total (SLT)
120
Teaching Methods
i)
Lectures
ii) Directed learning
iii) Group discussion
Prepared by
Name: Dr Muhammad Fauzee Hamdan
Signature:
Date:12 Feb 2017
Certified by
Name:
Signature:
Date:
COURSE OUTLINE
Department and Faculty: Department of
Mathematical Sciences
Faculty of Science
Course: SSCE 2193– Engineering Statistics
Total Lecture Hours: 42 hours
Page: 3 of 5
Version: 3.0
Date of Amendment: 12/2/17
Semester: II
Academic Session: 2016/2017
WEEKLY SCHEDULE
Week
1
12/2/17-16/2/17
2
19/2/17-23/2/17
3
26/2/17-2/3/17
4
5/3/17-9/3/17
5
12/3/17-16/3/17
Lecture Topics
Notes
Basic Statistics: Statistics in Engineering, Data description; Experiments and sampling,
Histograms, Alternative types of plot,
Probabilities of Random Events: Interpretations of probability, Sample space and events,
Axioms of probability, Conditional probability, Independence. Random Variables:
Univariate Probability functions, Properties and Expected Values.
Special probability distributions: binomial, poisson, negative binomial, hypergeometric,
geometric,
Special probability distributions: exponential, erlang, gamma, weibull, normal, lognormal
distribution.
Sampling Distributions: Central limit theorem, sampling distributions for mean and
proportion, sampling distributions for the difference between two means and sampling
distributions for the difference between two proportions.
6
19/3/17-23/3/17
Estimation: Point and interval estimations, confidence intervals for mean from a single
population. Confidence interval for proportion and variance from a single population.
7
26/3/16-30/3/17
Estimation: Confidence interval for the difference between two population means,
Confidence intervals for the difference between two proportions from two populations.
8
2/4/17-8/4/17
MID SEMESTER BREAK
9
9/4/17-13/4/17
Estimation: Confidence interval for the ratio of variances from two populations.
Tests of Hypotheses: Tests of hypothesis for the mean from a single population.
10
16/4/17-20/4/17
Tests of Hypotheses: Test for variance and proportion from a single population.
11
23/4/17-27/4/17
Tests of Hypotheses: Tests for the difference between two means, for the ratio of variances,
and for the difference between two proportions from two populations.
12
30/4/17-4/5/17
13
7/5/17-11/5/17
14
14/5/17-18/5/17
15
21/5/17-25/5/17
Chi-Square Tests: Goodness-of-fit test, independence test
and homogeneity test.
Analysis of Variance: Designing Engineering Experiments, Completely Randomized
Single-Factor Experiment.
Analysis of Variance: One-way ANOVA for equal and unequal sample sizes.
Simple Linear Regression and Correlation: Scatter diagram, simple linear regression
model, properties of least squares estimators, test for linearity of regression, confidence
intervals. Adequacy of regression model, Transformation, Pearson product moment
correlation coefficient.
Prepared by
Name: Dr Muhammad Fauzee Hamdan
Signature:
Date:12 Feb 2017
Certified by
Name:
Signature:
Date:
23/3/17
Hari Keputeraan
DYMM Sultan
Johor (Thursday)
Test 1
30/3/17
(Thursday)
1/5/17
Labour Day
(Monday)
Test 2
4/5/17
(Thursday)
10/5/17
Wesak Day
(Wednesday)
COURSE OUTLINE
Department and Faculty: Department of
Mathematical Sciences
Faculty of Science
Course: SSCE 2193– Engineering Statistics
Total Lecture Hours: 42 hours
Page: 4 of 5
Version: 3.0
Date of Amendment: 12/2/17
Semester: II
Academic Session: 2016/2017
References
Course note:
Z. M. Khalid, N. M. Ismail, A. Bahar, I. Mohamad, M. H. Lee, N. Ismail & N. Ahmad (2016)
Statistics, Dept. of Mathematics, UTM
Engineering
Other References:
1. Montgomery, D. C. and Runger, G. C. (2007) Applied Statistics and Probability for Engineers.4th ed. New
York: John Wiley & Sons. (QA276.12 M68 2007)
2. Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2007).Engineering Statistics.4th ed. New York:
John Wiley & Sons. (QA276.12 M65 2007)
3. Ledolter, J., Hogg, R. V. (2010). Applied Statistics for Engineers and Physical Scientists. 3rd ed. New
Jersey : Pearson Prentice Hall (TA340 L42 2010)
4. Walpole, R.E and Myers, R.H. (2006). Probability and Statistics for Engineers and Scientists. 8th Edition.
Prentice Hall: New Jersey. (TA340 P76 2006)
Assessments
No.
Type of Assessment
No. of
Assessment
% each
% total
Date/ Time / Venue
W7: (Thursday) (CLO2)
1
Test 1
1
15
15
2
Test 2
1
15
15
3
Quiz
2
5
10
Anytime during the lecture
(CLO1 (5%), CLO2(5%)
4
Assignment
1
10
10
Report submission:
W15(CLO4,CLO5)
5
Final Examination
1
50
50
Examination week
(Comprehensive)
Assessment Distribution Based on PO-CO
Prepared by
Name: Dr Muhammad Fauzee Hamdan
Signature:
Date:12 Feb 2017
Certified by
Name:
Signature:
Date:
W12:
(Thursday) (CLO3)
COURSE OUTLINE
Department and Faculty: Department of
Mathematical Sciences
Faculty of Science
Course: SSCE 2193– Engineering Statistics
Total Lecture Hours: 42 hours
Page: 5 of 5
Version: 3.0
Date of Amendment: 12/2/17
Semester: II
Academic Session: 2016/2017
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
%T
CLO1
5
-
-
-
-
-
-
-
-
-
5
CLO2
26
-
-
-
-
-
-
-
-
-
26
CLO3
41
-
-
-
-
-
-
-
-
-
41
CLO4
14
-
-
-
-
-
-
-
-
-
14
CLO5
14
-
-
-
-
-
-
-
-
-
14
%Total
100
-
-
-
-
-
-
-
-
-
100
COURSE POLICY




Attendance is compulsory and will be taken in every course meeting. Students with less
than 80% total attendance are not allowed to sit for final examination.
Students are required to behave and follow the dressing regulation and etiquette as
stated in University regulation while in class.
Any form of plagiarism is not allowed.
Assignments must be submitted on due date. Late submission shall not be accepted and
will not be graded.
Prepared by
Name: Dr Muhammad Fauzee Hamdan
Signature:
Date:12 Feb 2017
Certified by
Name:
Signature:
Date: