Digital Tecnologie for Organisations
A.Y. 2020/2021
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
Teaching
Classes will adopt the 'blended' configuration, namely, at the same time, there is in-person teaching (booking the seat is mandatory through the LezioniUniMi app) and online streaming through the Microsoft Teams platform. Classes are also recorded and available for asynchronous vision on the Ariel web site of the course. Clearly, the 'blended' form is possibly subject of unforeseen variations if public health authorities will adopt new dispositions.
Syllabus and teaching material
No variations have been introduced.
Exams and evaluation criteria.
The exam is exclusively in written form with practical exercises requiring to use a personal computer and softwares employed during the course.
Exams will be provided accordingly to university's dispositions regarding written exams. If it will be possible to organize them in presence (for all students or only part of them), they will take place in Unicloud rooms equipped with personal computers already configured as needed. For online exams, instructions already available will be followed regarding online written exams using Exam.net and without SEB. The remote conferencing tool will be either Microsoft Teams or Zoom, depending on technical issues experienced with them (in particular, Teams exhibited problems suggesting to not adopting it).
No intermediate exams are provided, evaluation criteria are unchanged.
Classes will adopt the 'blended' configuration, namely, at the same time, there is in-person teaching (booking the seat is mandatory through the LezioniUniMi app) and online streaming through the Microsoft Teams platform. Classes are also recorded and available for asynchronous vision on the Ariel web site of the course. Clearly, the 'blended' form is possibly subject of unforeseen variations if public health authorities will adopt new dispositions.
Syllabus and teaching material
No variations have been introduced.
Exams and evaluation criteria.
The exam is exclusively in written form with practical exercises requiring to use a personal computer and softwares employed during the course.
Exams will be provided accordingly to university's dispositions regarding written exams. If it will be possible to organize them in presence (for all students or only part of them), they will take place in Unicloud rooms equipped with personal computers already configured as needed. For online exams, instructions already available will be followed regarding online written exams using Exam.net and without SEB. The remote conferencing tool will be either Microsoft Teams or Zoom, depending on technical issues experienced with them (in particular, Teams exhibited problems suggesting to not adopting it).
No intermediate exams are provided, evaluation criteria are unchanged.
Course syllabus
1. Introduction to technologies for data analysis for the Social Sciences, Management, and Organizations
2. Open Data, Open Access, Open Source
3. R language and RStudio program
4. Data analysis process: data import, tidy, transformation and visualization
5. Data Tidy: discussion, functions, examples, exercises
6. Data Transformation: discussion, functions, examples, exercises
7. Data Visualization: discussion, functions, examples, exercises
8. Advanced cases (tips) and final notes
2. Open Data, Open Access, Open Source
3. R language and RStudio program
4. Data analysis process: data import, tidy, transformation and visualization
5. Data Tidy: discussion, functions, examples, exercises
6. Data Transformation: discussion, functions, examples, exercises
7. Data Visualization: discussion, functions, examples, exercises
8. Advanced cases (tips) and final notes
Prerequisites for admission
English reading and understanding: basic knowledge
Teaching methods
Classes are in person and it is suggested to bring a laptop in order to follow examples and exercises discussed during classes.
Teaching Resources
Course books, web sites, and software are freely available online (open access, open source) at no cost. Links are provided during the first class.
They are almost entirely in English.
They are almost entirely in English.
Assessment methods and Criteria
The exam is exclusively in written form with practical exercises requiring to use a personal computer and softwares employed during the course.
Exams will be provided accordingly to university's dispositions regarding written exams. If it will be possible to organize them in presence (for all students or only part of them), they will take place in Unicloud rooms equipped with personal computers already configured as needed. For online exams, instructions already available will be followed regarding online written exams using Exam.net and without SEB. The remote conferencing tool will be either Microsoft Teams or Zoom, depending on technical issues experienced with them (in particular, Teams exhibited problems suggesting to not adopting it).
No intermediate exams are provided.
The evaluation will consider to what extent computational logic has been understood, the familiarity achieved with data analysis principles, and usage of software employed during classes.
Exams will be provided accordingly to university's dispositions regarding written exams. If it will be possible to organize them in presence (for all students or only part of them), they will take place in Unicloud rooms equipped with personal computers already configured as needed. For online exams, instructions already available will be followed regarding online written exams using Exam.net and without SEB. The remote conferencing tool will be either Microsoft Teams or Zoom, depending on technical issues experienced with them (in particular, Teams exhibited problems suggesting to not adopting it).
No intermediate exams are provided.
The evaluation will consider to what extent computational logic has been understood, the familiarity achieved with data analysis principles, and usage of software employed during classes.
Professor(s)