EC/0053 - SPATIAL TOURISM DATA ANALYSIS
Academic Year 2021/2022
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MASSIMO CANNAS (Tit.)
- Teaching style
- Lingua Insegnamento
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The aim of the course is to offer students the main tools for flexible data analysis, data-driven decision making and efficient use of resources. All tools will be illustrated via realistic case studies of business relevance.
Basic probability and statistics typically offered in a first undergraduate course for students in economic and business sciences e.g. Newbold Carlson Thorne, Statistics for Business and Economics, Pearson Education. See in particular the probability chapters. Familiarity with R language is advantageous.
Simulation of probability models
Discrete Stochastic Processes.
Lessons and practice sessions.
Virtual room link:
Verification of learning
Attending students: a final written exam (50%) and a final presentation (50%). The final presentation can be done in groups (1-3 students)
Non attending students: written and oral exam.
Probability and statistics recap:
Paul Newbold, William L. Carlson, Betty Thorne:
Statistics for Business and Economics, Pearson Education 8th edition. Please review all chapters on probability and the first chapter on regression.
Data, Models, and Decisions: The Fundamentals of Management Science by Dimitris Bertsimis and Robert Freund.
For the stochastic processes part:
Understanding Markov Chains (2nd Edition), N. Privault, Springer 2018 (part of ch1, ch4)
Other possible readings will be shared on the learning space.