ARTIFICIAL INTELLIGENCE IN BIOMEDICAL RESEARCH
ARTIFICIAL INTELLIGENCE IN BIOMEDICAL RESEARCH
| A.Y. | Credits |
|---|---|
| 2024/2025 | 5 |
| Lecturer | Office hours for students | |
|---|---|---|
| Sara Montagna | By appointment. |
| Teaching in foreign languages |
|---|
|
Course entirely taught in a foreign language
English
This course is entirely taught in a 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.
Program
01. Introduction to Artificial Intelligence
01.01 Historical Overview
01.02 Typical Problems Addressed in Artificial Intelligence
01.03 Main Application Areas
02. Analysis of Medical and Biomolecular Datasets Using AI Techniques
02.01 Types of Biomedical Data
02.02 Data Analysis Methodologies
03. Machine Learning
03.01 Introduction to Machine Learning
03.02 Classification, Regression, and Clustering
03.03 Main Algorithms
04. Deep Learning
04.01 Introduction to Deep Learning
04.02 Convolutional Neural Networks and Recurrent Neural Networks
05. Tools
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
| « back | Last update: 01/12/2024 |
