Course 2015-2016 a.y.

Classes: 19 (I sem.) - 19 (I sem.) - 19 (I sem.)

Instructors:
Class 19: REBECCA GRAZIANI, Class 19: TO BE DEFINED, Class 19: TO BE DEFINED

This course is designed to develop students' knowledge and skills as users of quantitative data to support management decision making. After completing the course, students are able to prepare accurate and informative data summaries for inclusion in management reports and to contribute to the commissioning and interpretation of reports of business research. They are aware of some of the main statistical techniques that can be used to support management decision making.
The course takes a user-oriented, applied approach to use publicly available data, surveys, and statistical methods, to improve understanding of management issues, and to plan and evaluate events, activities and programs. Calculations are performed using software such as SPSS, with an emphasis on effective use of the software and interpretation of results. All lectures are held in the IT room and include sessions of students independent work.

• Business research processes and research design.
• Data collection: different approaches, measurement, design, sampling. Examples.
• Data analysis: basic ideas, representations.
• Data analysis: applied multivariate techniques, namely multivariate linear regression, logistic regressions and factorial analysis.