Synopsis
Topics
- An overview of operations research/management science techniques and their applications in business operations
- An introduction to linear programming models: Objective, decision variables, constraints
- Linear programming: A graphical solution procedure and a computer solution by Excel
- Linear programming: Sensitivity analysis and interpretation of solution
- Applications of Linear Programming in business and social sciences
- Time series analysis
- Forecasting methods and applications
- Decision analysis
- Approaches to decision-making with or without probabilities
- Monte Carlo simulations and discrete-event simulations
- Network models
- Applications of network models
Learning Outcome
- Identify key elements in a decision-making problem in the business context
- Apply linear programming models for optimisation problems in business operations
- Demonstrate the use of forecasting models and simulation models to solve optimisation problems in business
- Describe decision-making problems under uncertainty
- Interpret software output for business insights
- Solve network optimisation problems using iterative algorithms
Who Should Attend
This course is for executive roles requiring business knowledge. It is also suitable for professionals who are interested to learn and apply common quantitative methods in business contexts.
Relevance of Course to employment/upskilling/reskilling
This course equips learners with understanding and knowledge on quantitative methods. Learners will acquire the knowledge and skills that transform data into better decisions.
Schedule
| Seminar | Time | Agenda |
|---|---|---|
Seminar 1
| 19:00 – 19:15
| Introduction and course expectations |
| 19:15 – 20:30 | Topic 1 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 2 | |
| 21:50 – 22:00 | Summary of Seminar 1 | |
Seminar 2
| 19:00 – 19:15
| Recap of Seminar 1 |
| 19:15 – 20:30 | Topic 3 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 4 - 5 | |
| 21:50 – 22:00 | Summary of Seminar 2 | |
Seminar 3
| 19:00 – 19:15
| Recap of Seminar 2 |
| 19:15 – 20:30 | Topic 6 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 7 | |
| 21:50 – 22:00 | Summary of Seminar 3 | |
Seminar 4
| 19:00 – 19:15
| Recap of Seminar 3 |
| 19:15 – 20:30 | Topic 8 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 9 | |
| 21:50 – 22:00 | Summary of Seminar 4 | |
Seminar 5
| 19:00 – 19:15
| Recap of Seminar 4 |
| 19:15 – 20:30 | Topic 10 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 10 | |
| 21:50 – 22:00 | Summary of Seminar 5 | |
Seminar 6
| 19:00 – 19:15
| Recap of Seminar 5 |
| 19:15 – 20:30 | Topic 11 | |
| 20:30 - 20:40 | Break | |
| 20:40 – 21:50 | Topic 12 | |
| 21:50 – 22:00 | Summary of Seminar 6 |
Assessments
Assignments, Online Test, Others, Written Exam
Requirements
- Applicants should hold a diploma or an equivalent qualification from a recognised institution.
About the Trainers
Dr Tony Halim is a Principal Consultant at Analytics Consulting International and possesses extensive management experience at a local institute of higher learning. He specialises in corporate data analytics training and has been recognised for his teaching excellence as an Associate Faculty at the Singapore University of Social Sciences (SUSS) where he has successfully supervised many capstone projects. Holding a PhD in Engineering, he has also contributed as a Technical Committee Member for major international conferences, demonstrating his commitment to advancing the field of education and analytics. He is committed to enhancing adult learning through his continuous professional development, including a recent Graduate Certificate in Innovative Approaches to Adult Learning from SUSS.
Course Fees, payment and refund policy
| International Participants | Singapore Citizen Below 40 years old/ Permanent Resident | SkillsFuture Mid-Career Enhanced Subsidy1 (Singaporeans aged 40 and above) | Enhanced Training Support for SMEs2 (Singaporeans and PRs) | |
|---|---|---|---|---|
| Full Course Fee (A) | $1,753 | $1,461 | $1,461 | $1,461 |
| SSG Grant Rate (B) | 0% | 70% | 70% | 70% |
| SSG grant (C) | - | $1,022.70 | $1,022.70 | $1,022.70 |
| Nett course fee (A)-(C) = (D) | $1,753.00 | $438.30 | $438.30 | $438.30 |
| 9% GST on net course fee (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 mode, please refer here.
For the refund policy, please refer here.
A written request for a refund must be submitted and is subject to approval. If written notice of withdrawal is given within the cooling off period1 and before the course start date, a full refund of the fees paid less an administrative charge of $110.00 (exclusive of GST) will be given. No refund will be given for withdrawal thereafter.
1The cooling off period is defined as 7 working days after payment of course fee.
Completion Requirement
- Attendance: Participants must achieve at least 75% attendance.
- Assessment: Participants must sit and pass all prescribed assessments and submit all course work stipulated in the section Assessments.
- Evaluation: Participants are required to complete course evaluations conducted by SUSS and SSG at the end of the training.
For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email: [email protected]