Digital Tecnologie for Organisations
A.Y. 2019/2020
Learning objectives
The aim of the course is twofold: 1) to familiarize student with widely used professional technologies for the organization, analysis, and visualization of structured data; 2) to introduce at the logic and usage of sequences of commands and control constructs (scripting) for data management. Basics of web scraping for automatic data gathering from web sites are provided.
Expected learning outcomes
At the end of the course, a student should be able to recognize the meaning and the expected effects of command sequences for data organization, analysis, and visualization. She/he should also be able to code scripts corresponding to data selection, transformation, and visualization regarding predefined dataset. The ability to recognize and fix syntax and semantic errors produced in the command language usage is also required. Finally, the student should be able to discuss how predefined dataset could be analyzed together with expected outcomes and possible applications of the considered technology
Lesson period: First trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First trimester
Course syllabus
- Introduction to structured data usage
- R language and RStudio platform
- Gathering data
- Data tidying and transformation with R scripts
- Data visualization: types and techniques
- Advanced data visualization solutions
- Fundamentals of web scraping techniques
- R language and RStudio platform
- Gathering data
- Data tidying and transformation with R scripts
- Data visualization: types and techniques
- Advanced data visualization solutions
- Fundamentals of web scraping techniques
Prerequisites for admission
Basic English fluency (reading only)
Teaching methods
Class lectures with exercises
Teaching Resources
No official textbook.
Some online open books (free access) are required, together with other online material (free access).
The teaching material is in English. Lesson slides made by the teacher are in Italian.
Some online open books (free access) are required, together with other online material (free access).
The teaching material is in English. Lesson slides made by the teacher are in Italian.
Assessment methods and Criteria
Written exam. The exam takes place on personal computers in a dedicated room. Candidates find replicated the same environment considered during the course. The evaluation verifies the acquired knowledge with respect to the course contents and the familiarity reached in the usage of selected digital technologies. In particular, the exam requires:
- to transform and manipulate structured data through R scripts;
- to define and realize solutions for data visualization by means of advanced methodology;
- to answer to open question about the usage of digital technologies considered in the course.
- to transform and manipulate structured data through R scripts;
- to define and realize solutions for data visualization by means of advanced methodology;
- to answer to open question about the usage of digital technologies considered in the course.
INF/01 - INFORMATICS - University credits: 6
Lessons: 40 hours
Professor:
Cremonini Marco
Shifts:
-
Professor:
Cremonini MarcoProfessor(s)