DATA BASES mutuato
BASI DI DATI
| A.Y. | Credits |
|---|---|
| 2024/2025 | 6 |
| Lecturer | Office hours for students | |
|---|---|---|
| Chiara Contoli | Wednesday, 11:00-13:00 |
| Teaching in foreign languages |
|---|
|
Course with optional materials in a foreign language
English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
| Date | Time | Classroom / Location |
|---|
Learning Objectives
The aim of this course is to introduce the main methodologies for data mining.
Program
01. Python
01.01 Introduction to the language
01.02 Python for data analysis
02. Data Analytics
02.01 Data mining
02.02 Data preparation
02.03 Clustering
02.04 Classification
02.05 Prediction
03. Applications and tools for data analysis
03.01 Weka
03.02 Python
03.03 Use cases
Bridging Courses
No prior requirements.
Learning Achievements (Dublin Descriptors)
Knowledge and understanding: the student will acquire the main knowledge related to the extraction of information from data analysis.
Ability to apply knowledge and understanding: the student will be able to apply the acquired knowledge to understand and (partially) apply data mining techniques for extracting information from a set of raw data.
Autonomy of judgment: the student will be able to consider the most suitable data mining techniques to be applied as a function of the data and of the use case.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Teaching, Attendance, Course Books and Assessment
- Teaching
Frontal lessons and laboratory activities
- Attendance
Not mandatory
- Assessment
Oral exam
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
Additional Information for Non-Attending Students
- Teaching
Frontal lessons and laboratory activities
- Attendance
Not mandatory
- Assessment
Oral exam
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
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