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Course 2016-2017 a.y.


Department of Decision Sciences

Course taught in English

Go to class group/s: 19

ACME (6 credits - I sem. - OB  |  3 credits SECS-S/01  |  3 credits SECS-S/06)
Course Director:

Classes: 19 (I sem.)

Course Objectives
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. Moreover, 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, an 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 SPSS, with an emphasis on effective use of the software and interpretation of results. All lectures include sessions of students independent work with the computer.

Intended Learning Outcomes
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Course Content Summary
  • Business research processes and business analytics.
  • Introduction to the use of SPSS for data management and data analysis.
  • Advanced techniques of data analysis: multivariate linear regression, logistic regressions and factor analysis.

Teaching methods
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Assessment methods
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Detailed Description of Assessment Methods
There are no partial exams. The assessment method is different for attending and non attending students.
Attending students:
  • Four assignments, of which three take-home and the last one in a IT room. Students are asked to answer questions through an online platform, on the basis of the results of a data analysis with SPSS. Each assignment is graded out of 28 and the final mark is given by the arithmetic mean of the assignment marks.
  • In-class assessed activities: 3 points.
Non attending students:
  • One final general written exam to be taken in an IT room, with open ended questions to be answered on the basis of the results of a data analysis with SPSS, using all the techniques introduced in the course. The general exam is graded out of 31.

  • Lecture notes.
  • R. TARLING, Statistical Modelling for Social Researchers. Principles and practice, London and New York, Routledge, 2009 (selected chapters).
Last change 10/06/2016 12:30