ITA | ENG
B019362 - COMPUTER SCIENCE LAB.
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2013-14
Course year
Second year - First Semester
Belonging Department
Statistics, IT and its applications "G. Parenti" (DISIA)
Course Type
Single education field course
Scientific Area
-
Credits
6
Teaching Hours
36
Teaching Term
16/09/2013 ⇒ 06/12/2013
Attendance required
No
Type of Evaluation
Giudizio Finale
Course Content
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Course program
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Lectureship
Teaching Language
English
Course Content
The course is composed of two computer lab modules.
B. BERTACCINI (3 CFU)
Introduction to R software.
L.GRASSINI (3 CFU)
1) Introduction to WUM (Web Usage Mining)
with application to the analysis of logfiles.
2) Online web surveys. Introduction to the use of Limesurvey.
3) A brief introduction to web content analysis.
B. BERTACCINI (3 CFU)
Introduction to R software.
L.GRASSINI (3 CFU)
1) Introduction to WUM (Web Usage Mining)
with application to the analysis of logfiles.
2) Online web surveys. Introduction to the use of Limesurvey.
3) A brief introduction to web content analysis.
Suggested readings (Search our library's catalogue)
L. GRASSINI: Moodle Platform
Learning Objectives
L. GRASSINI (3 CFU)
The Laboratory aims to introduce students to the use of
open access tools for: (1) the analysis of web data (log files); (2) online questionnaires and surveys.
The Laboratory aims to introduce students to the use of
open access tools for: (1) the analysis of web data (log files); (2) online questionnaires and surveys.
Prerequisites
Basic knowledge of informatics
Teaching Methods
Lab training and project work on:
- analysis of web logfile
- online questionnaire on topics related to tourism
- analysis of web logfile
- online questionnaire on topics related to tourism
Further information
Class attendance is required
Type of Assessment
Class attendance.
Project work.
Project work.
Course program
Prof. Bertaccini (3 credits)
Introduction to R programming for statistics.
Prof. Grassini (3 credits)
Introduction to web analysis. Technical terminology. What is a web logfile and how it can be processed to provide information from data. Case study: the navigation patterns in the web site of the Department of statistics, informatics and applications.
Online surveys with Limesurvey. case study: design of a web questionnaire to study phenomena related to tourism (for example tourists' behavior, etc.).
Introduction to R programming for statistics.
Prof. Grassini (3 credits)
Introduction to web analysis. Technical terminology. What is a web logfile and how it can be processed to provide information from data. Case study: the navigation patterns in the web site of the Department of statistics, informatics and applications.
Online surveys with Limesurvey. case study: design of a web questionnaire to study phenomena related to tourism (for example tourists' behavior, etc.).