Course Code: MTH353
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Synopsis

MTH353 Basic Statistical Methods in Experimental Design examines how to design experiments, carry them out and analyse the data they yield. Various designs are discussed and their respective differences, advantages and disadvantages noted. Moreover, it focuses on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. There are numerous examples based on real-world applications of experimental design. The course is relevant to those interested in in the design, conduct and analysis of experiments in the engineering and social sciences.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

  • Basic Principles and Guidelines for designing experiments
  • Simple Comparative Experiments
  • Analysis of the Fixed Effects Model
  • Practical Interpretation of Results
  • Randomized Blocks, Latin Squares and Related Designs
  • Two-Factor Factorial Design
  • Fitting Response Curves and Surfaces
  • The General 2^k Design
  • Optimality of 2^k Designs
  • The addition of Center Points to the 2^k Design
  • Blocking a Replicated 2^k Factorial Design
  • Confounding the 2^k Factorial Design in 2^p Blocks

Learning Outcome

  • Determine the experimental unit, response variable, factor(s) and level(s) of a basic experiment
  • Demonstrate the role of randomisation and replication in inferring causation
  • Implement a completely randomised design
  • Construct the ANOVA table in R
  • Compute the minimum number of replicates in a completely randomised design to achieve a given level of power
  • Execute pairwise tests of differences in means in R to understand a significant overall F-test
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 domain
  • 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 - 10pm

Basic Principles and Guidelines for designing experiments, Simple Comparative Experiments

4Thursday7pm - 10pm

Analysis of the Fixed Effects Model, Practical Interpretation of Results

6Thursday7pm - 10pm

Randomized Blocks, Latin Squares and Related Designs, Two-Factor Factorial Design

8Thursday7pm - 10pm

Fitting Response Curves and Surfaces, The General 2^k Design

10Thursday7pm - 10pm

Optimality of 2^k Designs, The addition of Center Points to the 2^k Design

12Thursday7pm - 10pm

Blocking a Replicated 2^k Factorial Design, Confounding the 2^k Factorial Design in 2^p Blocks

 

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]