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 2014-15
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
15/09/2014 ⇒ 05/12/2014
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.
PART 1 (3 credits): planning a survey, online questionnaire. This part coincides with Computer science and application lab , 3 credits.
PART 2 (3 credits): statistical software to analyze survey data .
PART 1 (3 credits): planning a survey, online questionnaire. This part coincides with Computer science and application lab , 3 credits.
PART 2 (3 credits): statistical software to analyze survey data .
Suggested readings (Search our library's catalogue)
L. GRASSINI: Moodle Platform
Learning Objectives
L. GRASSINI (3 CFU)
The Laboratory aims to introduce students:
1) to collect survey data through online questionnaire.
2) use of
open access tools for web surveys
3) introdduction to a statistical software to analyze survey data.
The Laboratory aims to introduce students:
1) to collect survey data through online questionnaire.
2) use of
open access tools for web surveys
3) introdduction to a statistical software to analyze survey data.
Prerequisites
Basic knowledge of informatics. Descriptive statistics
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
Statistical sampling: basics. Attitude measurement. Questionnaire design. Coding. Online questionnaire through an open source software. (3 credits)
Introduction to the use of a statistical software to analyze survey data (3 credits)
Introduction to the use of a statistical software to analyze survey data (3 credits)