Research methodology

A.Y. 2019/2020
10
Max ECTS
80
Overall hours
SSD
BIO/11 ING-INF/05 M-FIL/03 MED/04 SECS-S/02
Language
Italian
Learning objectives
Use and apply the IT, epidemiological and statistical methods and tools to:
· Plan and carry out applied research in the field of technical health disciplines
· Provide teaching and training in the field of technical health disciplines
· Understand the competences related to the study of human behavior in its moral, ethical-social, political, communication ethics dimension. Understand the elaborations on the relationship between man and the environment and reflect on the ethical consequences that derive from the development of the sciences.
· Analyze the set of scientific fields and scientific-disciplinary skills related to the design and implementation of information processing systems, as well as to their management and use in various application contexts. This includes the theoretical foundations, the methods and the technologies used to produce technically valid projects, from the point of view of both the adequacy of the proposed solutions and the possibility of technical realization of both economic convenience and organizational effectiveness.
· Analyze the biological functions, biochemical and evolutionary characteristics of nucleic acids, and the biological functions they perform in all organisms.
Expected learning outcomes
Undefined
Course syllabus and organization

Unique edition

Course syllabus
The syllabus is shared with the following courses:
- [D96-20](https://www.unimi.it/en/ugov/of/af20200000d96-20)
Biologia molecolare
BIO/11 - MOLECULAR BIOLOGY - University credits: 2
Lessons: 16 hours
Professor: Pasini Diego
Filosofia morale
M-FIL/03 - MORAL PHILOSOPHY - University credits: 2
Lessons: 16 hours
Patologia generale
MED/04 - EXPERIMENTAL MEDICINE AND PATHOPHYSIOLOGY - University credits: 2
Lessons: 16 hours
Professor: Tacchini Lorenza
Sistemi di elaborazione delle informazioni
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 2
Lessons: 16 hours
Professor: Porta Alberto
Statistica per la ricerca sperimentale e tecnologica
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 2
Lessons: 16 hours
Professor: Consonni Dario