Course Code: MTH354
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Synopsis

MTH354 Advanced Statistical Methods in Experimental Design continues from MTH353 Basic Statistical Methods in Experimental Design to focus on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. It covers factorial and fractional factorial designs in greater detail. The course introduces response surface methodology and gives an overview of random effects model and nested and split-plot designs.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

  • Two-Level Fractional Factorial Designs
  • The General 2^(k-p) Fractional Factorial Design
  • Resolution III, IV and V Designs
  • The 3^k Factorial Design
  • Factorials with Mixed Levels
  • Constructing Factorial and Fractional Factorial Designs Using an Optimal Design Tool
  • Regression Model Diagnostics
  • The Method of Steepest Ascent
  • Experiments with Random Factors
  • Nested Design
  • Split-Plot Design
  • Analysis of Covariance

Learning Outcome

  • Verify the generators for a given design.
  • Discuss the differences between a split plot and a two-way ANOVA.
  • Implement a randomised complete block design and construct the ANOVA table.
  • Demonstrate a factorial design and constructing the ANOVA table in R.
  • Analyze the data collected based on the design used and its underlying assumptions.
  • Interpret the results of an experiment and report the conclusions.
Part-time Programmes / CET Courses

Who Should Attend

Executive into multimedia.


Relevance of Course to employment/upskilling/reskilling

  • Directly supports data-driven and research roles
  • Strengthens casual reasoning and judgement
  • Improves decision quality across domains
  • Provides long-term, tool-agnostic career value


Admissions Prerequisites

  • Diploma or an equivalent qualification from a recognized institution.

Please refer to Undergraduate CET Admission Eligibility Criteria for Undergraduate CET Modular Courses.

 

Schedule

WeekDayTimeTopic
2Thursday7pm - 10pmTwo-Level Fractional Factorial Designs, The General 2^(k-p) Fractional Factorial Design
4Thursday7pm - 10pmResolution III, IV and V Designs, The 3^k Factorial Design
6Thursday7pm - 10pmFactorials with Mixed Levels, Constructing Factorial and Fractional Factorial Designs Using an Optimal Design Tool
8Thursday7pm - 10pmRegression Model Diagnostics, The Method of Steepest Ascent
10Thursday7pm - 10pmExperiments with Random Factors, Nested Design
12Thursday7pm - 10pmAnalysis of Covariance, Split-Plot Design

 

Assessments

The overall course grade is determined by

  • Assignments, Written Exam

 

Trainer Info

Dr Tan Hong Pew is an accomplished business leader and educator with over three decades of experience spanning defense, telecommunications, and business development. He holds a BSc (First Class Honours) from the University of New South Wales, an MSc in Industrial Engineering from NUS, and a Doctor of Business Administration from the University of Western Australia, alongside a Graduate Diploma in Business Administration. A former Lieutenant-Colonel (NS) and SAF Overseas Training Award recipient, Dr Tan served eight years in MINDEF before moving into senior leadership roles, including EVP/COO at Nera Telecommunications and SVP (BD) at IMS Pte Ltd. Passionate about lifelong learning, he has taught MBA and statistics courses at institutions such as SUSS, MDIS, and Lancaster University. His research on intellectual capital has earned international recognition, including the Emerald Literati Network Award for Excellence.

 

Course Completion requirements

  • Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • Participants are required to complete all surveys and feedbacks related to the course.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
  • Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

 

Course Fees, payment and refund policy

  International Participants Singapore Citizens (below 40yrs), Permanent Residents Singapore Citizens (40yrs and above) SkillsFuture Mid - Career Enhanced Subsidy1Enhanced Training Support for SMEs2 (Singaporean and PRs)
Full Course Fees (A) $1,753.00$1,461.00$1,461.00 $1,461.00
SSG Grant Rate (B) 0%70%70%70%
SSG Grant (C)- $1,022.70$1,022.70$1,022.70
Nett course fees
(A) - (C) = (D) 		$1,753.00$438.30$438.30$438.30
9% GST on Nett course fees (E)$157.77$39.45$39.45$39.45
SSG Enhanced Funding Rate (F)0%0%20%20%
SSG Enhanced Grant (G)-- $292.20$292.20
Total nett course fee payable, including GST
(D) + (E) - (G) = (H)		$1,910.77$477.75$185.55$185.55

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singapore citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

For the various payment modes, please refer here.

For the refund policy, please refer here. 

For clarification, please contact the SUSS Academy via the following:

Telephone: +65 6248 0263
Email: [email protected]