Business Intelligence and Information Systems
Code 469AA
Credits 6
Learning outcomes
•Objectives
The course provides students with a framework of concepts, methods and examples aimed at understanding opportunities of applying quantitative methods to managerial decision-making. Applications in marketing, investments and web economy will be discussed.
Mathematical aspects will be developed in simplified instead of rigorous form, privileging the intuitive comprehension of principles and practical opportunities.
•Syllabus
1. Decisions, probability, uncertainty, risk, information, expected value, optimization
2. Cognitive aspects of decision process
3. Decision trees
4. Bayesian approach
5. Classification and classifiers
5. Regression, linear and logistic models
6. Dynamic programming
7. Database marketing and web marketing
8. Dynamic pricing
9. Capacity allocation
The course provides students with a framework of concepts, methods and examples aimed at understanding opportunities of applying quantitative methods to managerial decision-making. Applications in marketing, investments and web economy will be discussed.
Mathematical aspects will be developed in simplified instead of rigorous form, privileging the intuitive comprehension of principles and practical opportunities.
•Syllabus
1. Decisions, probability, uncertainty, risk, information, expected value, optimization
2. Cognitive aspects of decision process
3. Decision trees
4. Bayesian approach
5. Classification and classifiers
5. Regression, linear and logistic models
6. Dynamic programming
7. Database marketing and web marketing
8. Dynamic pricing
9. Capacity allocation