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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

WSQ - Practical Design of Experiment (DoE) for Engineers and Researchers

This WSQ course, Practical Design of Experiment (DoE) for Engineers and Researchers, equips participants with essential skills to design, analyze, and optimize experiments for improved process performance. Participants will gain a thorough understanding of DoE fundamentals, factorial experiments, and how to apply ANOVA to assess the significance of variables. By learning how to identify key factors affecting performance, participants will be able to confidently select appropriate DoE projects and execute them with precision.

The course covers advanced topics like fractional factorial designs, screening methods, and modeling techniques such as Taguchi and Response Surface Methodology (RSM). By the end of the course, learners will be able to evaluate the effectiveness of their DoE projects and make data-driven recommendations for continuous process improvement.

Learning Outcomes

By end of the course, learners should be able to:

  • Analyze process interactions to characterize key factors influencing performance in Design of Experiments (DoE).
  • Select suitable factorial DoE projects by evaluating relevant performance metrics.
  • Define the scope and execute fractional factorial DoE projects using problem-solving techniques.
  • Evaluate the effectiveness of DoE projects and recommend follow-up actions

Course Brochure

TBD

Skills Framework

This course follows the guideline of Process Integration ELE-SIS-5002-1.1 under Electronics Skills Framework

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Baseline MCES / SME
$900.00 $81.00 $531.00 $351.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.


You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

Course Code: TGS-2024051249

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

Course Date

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Fundamentals of Design of Experiment 

  • Introduction to Design of Experiment (DoE)
  • Dependent and Independent variables
  • Purpose of DoE
  • Stages of DoE
  • Factor, Level and Treatment
  • Introduction to single factor experiments
  • One-Way Analysis of Variance (ANOVA)
  • Decomposition of the Sum of Squares

Topic 2 Factorial DoE

  • Introduction to Factorial DoE
  • Main Effects and Interactions between factors
  • Why using Factorial DoE
  • Two-Factors Two-Levels (2^2) DoE
  • Regression equation for 2^2 DoE
  • 2^2 experiment with Interactions
  • Regression model for 2^2 DoE with Interactions
  • Analysis of Variance (ANOVA) of 2^2 DoE
  • Adding the third factor – 2^3 DoE
  • ANOVA of 2^3 DoE
  • Regression model for 2^3 DoE
  • General 2^k DoE
  • Analysis procedure of any 2^k DoE
  • Blocking a replicated design
  • Analysis a 2^k DoE with blocks as replicates
  • Confounding a 2^k DoE in blocks

Topic 3 Fractional Factorial DoE 

  • Introduction to Fractional Factorial DoE
  • One-Half fraction designs
  • Confounding in partial factorial design
  • Design resolution
  • ANOVA of fractional DoE
  • One-Quarter fraction designs

Topic 4 Screening, Modeling and Optimizing DoE

  • Screening designs
  • Plackett Burman design
  • Taguchi design
  • Response Surface Method (RSM)
  • Central Composite Design (CCD)

Final Assesment

  • Written Assessment (Short Answer Questions)
  • Case Study

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

  • Process Engineer
  • Quality Assurance Engineer
  • Product Development Engineer
  • Manufacturing Engineer
  • Research Scientist
  • Data Analyst
  • Operations Manager
  • Continuous Improvement Manager
  • Industrial Engineer
  • Test Engineer
  • R&D Manager
  • Laboratory Technician
  • Engineering Consultant
  • Process Improvement Specialist
  • Lean Six Sigma Specialist
  • Project Manager
  • Production Manager
  • Quality Control Specialist
  • Statistical Analyst
  • Technical Consultant

Trainers

Angel Koh: Angel Koh has over 15 years experience with the maritime and defence industry building information systems for full scale development programs; working with a myriad of programming and computing languages and tools, ranging from programming languages like C# and Java to computing languages like Octave and ArcGis. His specialization is in the field of data fusion and mapping. He is always passionate to adopt new technologies and skills to add to his repertoire of computer knowledge.

In his free time, he likes to tinker with his RigidBot 3D printer, building simple household objects with Adobe 123D Design and OpenSCAD.

 

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