DETERMINISTIC OPERATIONS RESEARCH MODELS
2014/2015, Semester 1
School of Business (Analytics & Operations)
Modular Credits: 4
By using techniques such as mathematical modeling to analyze complex situations, operations research tools give executives the power to make effective decisions and build productive systems based on more complete data, evaluation of all available options, and careful predictions of outcomes. This body of knowledge is essential for Business analysts and consultants in the big data era, who hold strategic positions within the knowledge-oriented firm. They support the Supply Chain, Marketing, Finance and HR departments in refining their processes, making them more efficient, profitable and customer-centric.
The objective of this course is to INTRODUCE and INTEGRATE knowledge in this area with applications in business analytics, logistics and supply chain management.
It prepares participants for the work environment and the diverse challenges faced by business analysts and consultants. The course uses the pedagogical medium of hands on exercises and classroom discussion to provide exposure to OR tools and analytical problems arising across business departments today. The course will enable participants to achieve 2 major objectives:
(1) Polish their thinking and mathematical skills in Operations Research and
(2) Formulate problems arising in different context using the lenses of Operations Research
Undergraduate Management Science or Operations Research and Linear Algebra module or equivalent.
Team Term Paper 20%
Team Research Poster and Video 10%
Team Presentation 20%
In-Class Exercise/Participation 20%
Individual Homeworks 30%