interdisciplinary sciences and health management
A.Y. 2020/2021
Learning objectives
- Essere in grado di utilizzare e applicare modelli statistici
- Saper elaborare parametri e segni tramite sistemi informatici
- Saper gestire l'attività di organizzazione aziendale
- Conoscere le basi del diritto del lavoro
- Saper elaborare parametri e segni tramite sistemi informatici
- Saper gestire l'attività di organizzazione aziendale
- Conoscere le basi del diritto del lavoro
Expected learning outcomes
Undefined
Lesson period: First semester (In case of multiple editions, please check the period, as it may vary)
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Course syllabus and organization
Single session
Responsible
The teaching, given the current health situation, will be carried out entirely at a distance.
Prerequisites for admission
No prior knowledge required
Assessment methods and Criteria
The assessment of learning outcomes consists of a written test, taking place during specific exam sessions, as per the Rules. The test includes multiple choice questions.
All the modules comprised in the teaching contribute equally to determining the final mark, expressed on a scale of 30.
No intermediate or early exam sessions are planned.
Teaching materials or notes are not allowed for consultation during testing.
The Teacher in charge of the teaching provides the final verbalization according to the UNIMI model.
All the modules comprised in the teaching contribute equally to determining the final mark, expressed on a scale of 30.
No intermediate or early exam sessions are planned.
Teaching materials or notes are not allowed for consultation during testing.
The Teacher in charge of the teaching provides the final verbalization according to the UNIMI model.
Information processing system
Course syllabus
Basic statistics
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable sent to the students
Teaching Resources
Slides and learning material provided by the teacher
Labour law
Course syllabus
Responsibility, as well as the legal aspects related to the speciphic work process .
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable sent to the students
Teaching Resources
Slides and learning material provided by the teacher
Organization studies
Course syllabus
The most important job acts, the basis of job relationships and responsibility
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable sent to the students
Teaching Resources
Slides and learning material provided by the teacher
Statistics for experimental and technological research
Course syllabus
The development of computers and information technology: to describe the most important systems for information in health
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable sent to the students
Teaching Resources
Slides and learning material provided by the teacher
Information processing system
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 2
Lessons: 20 hours
Labour law
IUS/07 - LABOUR LAW - University credits: 1
Lessons: 10 hours
Organization studies
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT - University credits: 1
Lessons: 10 hours
Professor:
D'andrea Anna
Statistics for experimental and technological research
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 1
Lessons: 10 hours
Professor:
Muti Paola Cornelia Maria
Professor(s)