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Design of Experiment (DOE) Masterclass

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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

Design of Experiment (DOE) Masterclass

Course Code: C950

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Design of Experiment (DOE) Masterclass equips you with the essential skills to plan, run, analyse and optimise experiments that improve process and product performance. Rather than changing one factor at a time, DOE lets you study several factors together, uncover interactions and find the best settings with far fewer runs, saving time and cost. The masterclass is designed for engineers, scientists, quality and process improvement professionals, and Six Sigma practitioners in manufacturing, R&D and service environments.

You will start with the fundamentals of design of experiments, including key terminology, factors, levels and responses, randomisation, replication and blocking, and how to plan an experiment that answers the right question. Next you will learn factorial DOE, designing and analysing full factorial experiments, interpreting main effects and interaction plots and using analysis of variance to identify significant factors. You will then cover fractional factorial DOE, reducing the number of runs while understanding confounding and resolution.

The final topic focuses on screening, modelling and optimising DOE, including screening designs to find the vital few factors, regression models, response surface methods and finding optimal process settings. Throughout the masterclass you will use statistical software and practical case studies to design and analyse real experiments. By the end, you will be able to apply DOE confidently to solve problems, optimise processes and make data-driven improvements.

Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

No funding is available for this course.

For WSQ funding, please check out the details at WSQ - Practical Design of Experiment (DoE) for Engineers and Researchers

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Fundamentals of Design of Experiment

Topic 2: Factorial DoE

Topic 3: Fractional Factorial DoE

Topic 4: Screening, Modeling and Optimizing DoE

Course Info

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:

No installation needed for the designs - every lab generates its design in the browser with NovaDOE
Microsoft Excel (desktop or Microsoft 365) for the lab workbooks, and a modern web browser (Chrome, Edge, Firefox or Safari)

Hardware: Windows PC or Mac laptop

Job Roles

Process Engineer
Quality Assurance Manager
Manufacturing Engineer
Operations Manager
Production Manager
R&D Scientist
Six Sigma Black Belt
Lean Manufacturing Specialist
Industrial Engineer
Continuous Improvement Manager
Quality Control Specialist
Operations Research Analyst
Supply Chain Analyst
Project Manager
Business Process Consultant

Trainers

Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Khoo Yong is an ACTA-certified trainer with a strong foundation in adult education and applied analytics. With years of experience in training and mentoring learners, he specializes in simplifying complex concepts in data analysis and statistical methods for beginners. His expertise includes guiding participants in applying R programming to perform descriptive statistics, hypothesis testing, and data visualization, equipping them with practical skills to analyze data effectively and interpret results with confidence. As a certified adult educator, Khoo Yong ensures his training is engaging, structured, and accessible to learners from diverse backgrounds. He emphasizes hands-on practice with R, enabling participants to bridge theory with application in real-world contexts. His learner-centered approach not only builds technical competency but also fosters analytical thinking, preparing participants to use statistical tools in business, research, and decision-making.

Ho Kum Chuen is a Certified Master Black Belt with more than 30 years of experience in engineering, process improvement, and quality management. He has led multiple Six Sigma projects in multinational corporations, focusing on DMAIC methodology, statistical quality tools, and breakthrough process improvements. His career includes senior roles in product development, quality assurance, and customer support, where he provided consultancy on aligning operations with strategic goals and industry standards such as IATF 16949. As an ACTA-certified trainer, Ho has delivered Lean Six Sigma training and mentored engineers in applying advanced quality methodologies. His teaching emphasizes hands-on application, enabling learners to identify waste, streamline processes, and improve workplace efficiency. With a strong track record in both consultancy and training, he ensures participants gain the practical skills to apply Lean Six Sigma tools effectively in their organizations.