CODE 87140 ACADEMIC YEAR 2016/2017 CREDITS 6 cfu anno 1 ECONOMIA E MANAGEMENT MARITTIMO E PORTUALE 8708 (LM-77) - SCIENTIFIC DISCIPLINARY SECTOR SECS-S/03 TEACHING LOCATION SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW Course description The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance, regression and time series analysis. Part of the course will be dedicated to the use of statistical software. AIMS AND CONTENT LEARNING OUTCOMES The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance and regression. Part of the course will be dedicated to the use of statistical software. TEACHING METHODS Lectures, computer lab lectures, case studies, homework and group work. SYLLABUS/CONTENT "The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance and regression. Part of the course will be dedicated to the use of statistical software." RECOMMENDED READING/BIBLIOGRAPHY Washington S.P., Karlaftis M.G., Mannering F.L. (2011) Statistical and econometric methods for transportation data analysis. Chapman&Hall. Further materials will be made available through Aulaweb during the course TEACHERS AND EXAM BOARD LUCA PERSICO Ricevimento: http://www.economia.unige.it/index.php/il-dipartimento/personale/docenti-ad-economia/154-luca-persico Exam Board LUCA PERSICO (President) ENRICO DI BELLA CORRADO LAGAZIO LESSONS LESSONS START Sem: 2 27 february - 1 june 2017 Class schedule STATISTICAL METHODS FOR TRANSPORTATION MANAGEMENT EXAMS ASSESSMENT METHODS Assessment Students that attend the course will be evaluated according to: A written exam A project work An oral exam Students that do not attend the course will have to prepare a brief thesis on one of the main topics of the course instead of the project work. Exam schedule Data appello Orario Luogo Degree type Note 08/06/2017 10:30 GENOVA Scritto 22/06/2017 10:30 GENOVA Scritto 06/07/2017 10:30 GENOVA Scritto 20/07/2017 10:30 GENOVA Scritto 13/09/2017 10:30 GENOVA Scritto FURTHER INFORMATION Attendance 6 hours/week, optional
