Empirical Group Project Guidelines

Short data description

Empirical Group Project Guidelines

To strengthen both teamwork and communication skills, students will work in teams of between three to four students (from within your lab stream) and collaboratively identify, describe, model and analyse the real-world problem using the data analytics techniques you have learned from this class. The project is assessed based on an oral presentation, where each member of the group should participate (you will be assessed as a group). The group presentation will take place in lab sessions of week 12 (October 7th). You will be marked on both content and presentation, and you must stay within the allocated time.Each group is required to make an 7-minute presentation, which should have a maximum of six PowerPoint slides (plus a title slide), where your talk should cover at least the following:

For Regression Analysis Related Project:

1. Introduction in which you state the importance and the purpose of your research

2. Short data description. What is the source of the data? Is the data cross-section or time series? Summary Statistics of the data. What are the data problems, if any?

3. The story – what is the primary hypothesis tested?

4. Short description of the empirical method

5. Presentation of the empirical results

6. Conclusions and implication For Optimisation Modelling Related Project:

1. Introduction: Describe your problem in words and explain why it is interesting
2. Model Formulation: Describe your problem as a mathematical model, state your model assumptions, and clearly define all its sets, variables and data parameters

3. Short data description. What is the source of the data? Summary Statistics of the data. What are the data problems, if any?

4. Analysis: Solve your model and remember that its purpose is insight, not numbers. In your analysis, you might also want to include sensitivity analysis.

5. Conclusion and implications