Year
Year 2
Semester
First Semester
Credit
3
Program Description
Mathematical modeling and optimization techniques for business administration and engineering management.
About this course
This course introduces mathematical modeling and optimization techniques used in business administration and engineering management. You will learn to translate real-world operational challenges into mathematical frameworks and solve them using quantitative methods.
Topics include linear programming, sensitivity analysis, transportation and assignment problems, inventory management, and queuing theory. You will use software tools to model scenarios and interpret results for strategic decision-making.
Who takes this course
- Business Administration (BBUS)
- Business Administration (Part-time) (BBUP)
- Bachelor of Applied Technology — Software Development (CBSD)
- Civil Engineering Technology (ECIV)
- Practical Nursing (Part-time) (HPNP)
- Practical Nursing (HPNR)
- Bachelor of Applied Technology — Advanced Manufacturing (NBAM)
- Mechanical Engineering Technology (NMEC)
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Formulate business and engineering problems as linear programming models.
- Apply simplex and graphical methods to find optimal solutions.
- Interpret sensitivity analysis results for decision-making.
- Use transportation and assignment models to optimize logistics.
- Evaluate inventory and queuing models for operational efficiency.
- Apply probability distributions to risk and forecasting scenarios.
Evaluation
| Component | Weight (%) |
| Midterm examination | 30 |
| Final examination | 40 |
| Project report | 20 |
| Weekly problem sets | 10 |