ITA | ENG
B028010 - DATA ANALYSIS LAB
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Academic Year 2023-24
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
3
Teaching Hours
24
Teaching Term
13/09/2023 ⇒ 07/12/2023
Attendance required
No
Type of Evaluation
Giudizio Finale
Course Content
show
Lectureship
Teaching Language
English
Course Content
Survey planning.
Questionnaire design
Limesurvey
Statistical analysis of survey data (Excel. PSPP).
A minimum number of attendance hours is required.
Questionnaire design
Limesurvey
Statistical analysis of survey data (Excel. PSPP).
A minimum number of attendance hours is required.
Suggested readings (Search our library's catalogue)
Moodle platform (e-learning)
Learning Objectives
The course is held by prof. Laura GRASSINI.
A minimum number of attendance hours is required.
PART1. Questionnaire design. Planning a web survey with Limesurvey.
PART 2. Statistical analysis of survey data with Excel. PSPP.
KNOWLEDGE. Knowledge of a software for web questionnaire and a software for statitical analysis.
A minimum number of attendance hours is required.
PART1. Questionnaire design. Planning a web survey with Limesurvey.
PART 2. Statistical analysis of survey data with Excel. PSPP.
KNOWLEDGE. Knowledge of a software for web questionnaire and a software for statitical analysis.
Prerequisites
Basic statistics
Basic informatics
Basic informatics
Teaching Methods
Class, laboratory and e-learning (Moodle platform)
The student has to contact the professors for accessing the Moodle.
The student has to contact the professors for accessing the Moodle.
Further information
Classes will start on October, 5, 2023.
The course is intensive with 6 hours a week.
A minimum number of attendance hours is reuired.
The course is intensive with 6 hours a week.
A minimum number of attendance hours is reuired.
Type of Assessment
Part 1. Project work: creating a web survey with Limesurvey (30%) + online quizes (20%)
Part 2.. Project work: Statistical analysis with Excel. PSPP (50%)
Part 2.. Project work: Statistical analysis with Excel. PSPP (50%)