Prof. Umberto Nanni

"Sapienza" Università di Roma
Facoltà di Ingegneria dell'Informazione, Informatica e Statistica
Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti"

AA 2016-2017 - Enterprise Information Systems

MGER1 - Master's Degree in Management Engineering (Corso di Laurea Magistrale in Ingegneria Gestionale) D.M. 270

PROGRAM OF THE COURSE

This course will provide students with the knowledge of technologies and methodologies related to Enterprise Information Systems, from the description of the organization in terms of business processes and information assets. By discussing a simple project, the student is required to know and use practical technology (with examples suggested within Data Warehouse / Business Intelligence) as part of the examination. The student has the opportunity to gain the capacity to address concrete problems and build (or help to build, in team with other specialists) solutions based on appropriate technologies, workflow management and / or information management.

Main Topics


No TOPIC PDF ZIP
0 Presentation slides download
1 Information in the Organization slides download
2 Business Processes slides download
3 Process Models slides download
4 Operational Support slides download
5 Key Performance Indicators slides download
6a Intro to BI and Data Warehousing slides download
6b Data Warehousing_Multidimensional Model slides download
6c Data Warehousing_Design Issues slides download
6d Data Warehousing - Logical and Physical design slides download
7a Data Mining - An introduction slides download
7b Data Mining_Case Study_VTE slides download
8a Social Networks slides download
8b Social Networks_Case Study_TLC slides download
9a RFID slides download
9b RFID-Data Intelligence_Case Study_Biobank slides download

Office Hours


Exam (6 CFU)

The following tests are carried out in order to support the examination, carried out in any order (even in different appeals), which retain validity until completion of the test:
  1. a written test, which affects the overall evaluation of the exam with a weight of TWO THIRD of the final grade;
  2. the discussion of a Tesina, conducted individually or in small groups, which affects the overall evaluation of the exam with a weight equal to ONE THIRD, and may be accompanied a possible short oral interview.

Written test

For the preparation of the Written Examination, consisting of a brief set of questions related to a small project problem, please consult the Exercise Exam (see below).

Defense of the Project/Tesina

The Project ("Tesina"): The project/tesina is split into an ANALYSIS part and an IMPLEMENTATION part.
The ANALYSIS consists in the description of a business case that clarifies the nature of the problem, with some "business questions" followed by the definition of "key performance indicator" and the Data Mart project covering the indicators introduced. The developed analysis, following the definition of the problem, is similar to what is required for the written test, possibly with more complex requirements. For example, see two sample projects by former students.
The IMPLEMENTATION part consists in the actual development the "data intelligence" activity defined in the analysis part. This may be the definition of (a fragment of) a data warehouse and / or a data mining and / or social network analysis. Any Data Warehouse or Data Mining software environment may be used, given that the interview is accompanied by computer demonstration of what has been done or analyzed. Therefore, it is necessary to bring a computer with a running installation, on which each member of the group must show an individual operational capability. In the case of particular logistical requirements (eg the necessity of a particular laboratory instrumentation) the arrangements will be agreed upon.

Resources - technologies - reference software environments

Data Warehouse e Data Mining
Microsoft SQL Server + Analysis Services:
Free software and resources used for learning activities, thanks to Microsoft Imagine agreement
It is suggested to use the latest stable release.
A large case study is also available, with documentation and detailed Microsoft tutorials:

Data Mining
Weka:
http://www.cs.waikato.ac.nz/ml/weka/

Reti Sociali
Gephi:
http://www.gephi.org/


Available Resources


Umberto Nanni (home page)