Piattaforma Kiro - Didattica Curriculare 3+2 e Lauree Magistrali Ciclo Unico
Risultati della ricerca: 1847
Page of the Data Science module of the course of Numerical Optimization and Data Science (for master's degrees in Mathematics and Finance), held by Davide Duma. This module aims to offer students an overview of the theoretical and applicative aspects of data analysis, showing the main results and offering the possibility of applying the theory to concrete problems.
The module of Numerical Optimization is held by prof. Luca Pavarino.
- Docente: DAVIDE DUMA
- Docente: UMBERTO LAFORENZA
In the biochemical course specific metabolic pathways of certain tissues and organs will be examined: bone, cartilage, lung and muscle and their regulation and integration will be addressed. The biochemical basis of some common and rare pathologies will be addressed in the light of the most recent scientific discoveries. The course aims to: 1) complete the framework of metabolic knowledge provided with the teaching of Biochemistry in the first level study course; 2) the development of an overview of the metabolic pathways and their regulation in an integrated context, with particular attention to intracellular signaling pathways; 3) provide a deep knowledge of the specific metabolisms of the various tissues and organs examined and the clinical consequences of their malfunctions.
- Docente: ROBERTA BESIO
- Docente: Alessandra Carriero
- Docente: ANTONELLA FORLINO
- Docente: Michael Yu
The module "RNA Technologies and Protein Engineering" provides an exhaustive introduction to nucleic acids and protein engineering/manipulations, with examples of biotechnological applications both in biopharma/medicine/agriculture and basic science.
- Docente: MARCO GAETANO LOLICATO
- Docente: CHRISTINA KIEL
- Docente: VIRGINIE SOTTILE
- Docente: MARIO UMBERTO MONDELLI
- Docente: HUGO DE JONGE
- Docente: ERMANNO GHERARDI
- Docente: LUISA IAMELE
- Docente: ARIANNA PALLADINI
Moduli do Drug discovery and biotechnoklogical drugs (Prof Marco Terreni)
- Docente: MARCO TERRENI
- Docente: ROBERTO CICCONE
The main objective of the course is to provide the theoretical and methodological foundations of neuropsychology, presenting the clinical symptoms, theoretical interpretations and neural bases of the main neuropsychological disorders resulting from acquired brain injury.
- Docente: GERARDO SALVATO
The main goal of this course is to provide a gentle introduction to applied data analysis methods. Starting from basic intuitions, we will learn about the reasoning behind traditional statistical tests (such as t-tests and anovas), gradually building up towards more cutting-edge approaches (such as mixed modelling). The course will also be hands on: in addition to the theory behind the different analyses, and when to apply them, we will learn how to actually run the analyses ourselves, using R: a very popular, powerful (and free!) statistical analysis software. We will focus on how to efficiently manipulate data, and how to "see" the data with high-quality graphs, before conducting analyses of interest, and interpreting/reporting the results. So please bring your laptop to class, and try to install R and RStudio beforehand (available here). Ultimately, the course aims to provide theoretical and applied knowledge useful for any career path involving data, particularly in psychology and human sciences.
- Docente: GABRIELE SAM CHIERCHIA
This is an introductory course addressing the methodological criteria of correct clinical reasoning according to the Evidence Based Practice in Psychology (EBPP) approach. While being introduced to theoretical pillars of EBPP, students will be trained hands-on on accessing the best-quality evidence-based sources on the web, for searching clinically relevant and trustworthy information, retrieving it, and assessing its value. Then, they will be trained to think logically in contexts involving uncertainties, by using two free software for helping diagnostic reasoning and treatment decisions and applying them to clinical cases
- Docente: PAOLO CHERUBINI
- Docente: Carlo Reverberi
This course's overall aim is to provide an introduction to current themes in developmental neuroscience, with emphasis on social decision making and its development during adolescence. The course begins by providing an introduction to decision theory and the neural substrates of decision making. The course then passes from individual decisions to social decisions, and their neural correlates. We will go over structural and functional MRI research showing changes in grey matter and white matter during adolescence, and the proposed underlying cellular and synaptic developmental processes. In particular, neural regions implicated in social cognition (e.g., mentalizing) and executive function undergo protracted development during adolescence. This framework will be used to address how social decision making changes with age during adolescence, and how this can help better understand the unique opportunities and vulnerabilities of this age. Indeed, on the one hand, adolescence is an age of heightened neuroplasticity, exploration and learning. However, adolescence is also an age of heightened risk taking (especially with peers), susceptibility to social influence, and the age in which most socio-emotional disorders emerge.
- Docente: GABRIELE SAM CHIERCHIA
- Docente: ALMA BALESTRAZZI
- Docente: ANDREA PAGANO
- Docente: MICHELA VERONICA LANDONI