APPLICATIONS OF ARTIFICIAL INTELLIGENCE - BIOLOGY AND MEDICINE
APPLICAZIONI DELL'INTELLIGENZA ARTIFICIALE - BIOLOGIA E MEDICINA
A.Y. | Credits |
---|---|
2023/2024 | 3 |
Lecturer | Office hours for students | |
---|---|---|
Sara Montagna | Thursday h 11-13 |
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
At the end of the course, the student masters the basic algorithms, tools and systems for the management, processing and analysis of dataset. The student is able to design and develop simple systems oriented to medical and biomolecular real-world problems. Principles of generative AI will also be part of the learning objectives, as well as their biomedical applications.
Program
00. Course Introduction
01. Deep Learning
01.01 Deep Learning Introduction
01.02 Convolutional Neural Network
01.03 Recurrent Neural Network
01.04 Autoencoder, Transformers and Generative Adversarial Network
02. AI techniques applied to medical and biomolecular data analysis
02.01 Types of Biomedical data
02.02 Recap of data analysis methodologies
02.03 The PyTorch library
02.04 CNN Applications for medical imaging
02.05 RNN Applications for medical signalling processing
Bridging Courses
Although there are no mandatory prerequisites, it is advisable to follow this course after completing the courses of Machine Learning and Fundamentals of Artificial Intelligence.
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
Theory lectures and laboratory exercises.
- Attendance
Although recommended, course attendance is not mandatory.
- Assessment
The exam consists of an oral discussion, where the student presents his/her project with explicit reference to the project goals, the consequent architecture, the implementation choices, providing adequate motivations. A presentation of a written report about the project together with a set of slides for a short presentation of the project is due.
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
Additional Information for Non-Attending Students
- Teaching
Same as attending.
- Attendance
Same as attending.
- Course books
Same as attending.
- Assessment
The exam consists of an oral discussion, where the student presents his/her project with explicit reference to the project goals, the consequent architecture, the implementation choices, providing adequate motivations. A presentation of a written report about the project together with a set of slides for a short presentation of the project is due.
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
« back | Last update: 19/04/2024 |