Optimisation for Decision-Making
About This Course
Optimisation involves finding the best decision variables considering constraints to optimise an objective function. There are various problem categories based on variables, constraints, and objectives, with specific techniques developed for each. This course introduces linear and integer programming, implemented using R. Linear programming optimises linear objectives with linear constraints, focusing on the simplex method and sensitivity analysis. Integer programming deals with integer-restricted variables, covering the branch-and-bound and heuristic approaches. The course delves into specific techniques tailored to each problem type, equipping learners with a comprehensive understanding of optimisation strategies for diverse scenarios.
What You'll Learn
2. Understand the motivation behind the various techniques.
3. Apply the techniques to real-world problems in R.
4. Formulate recommendations based on the optimisation results for business decision-making.
Entry Requirements
Achieve a minimum NUS GPA of 2.50 for the Executive Certificate in Intermediate Data Analytics for the Maritime Industry