Workshop: employee monitoring and recruitment

A.A. 2024/2025
3
Crediti massimi
36
Ore totali
Lingua
Inglese
Obiettivi formativi
Equip students with basic knowledge and technical skills to develop AI-driven tools for recruitment, candidate evaluation, and career growth, while providing a data-driven perspective on HR processes.
Risultati apprendimento attesi
By the end of the lab, students will be able to design and implement AI solutions for HR challenges, apply prompt engineering and machine learning techniques, and analyze HR data for decision-making.
Corso singolo

Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.

Programma e organizzazione didattica

Edizione unica

Responsabile
Periodo
Secondo semestre

Programma
This hands-on lab explores the intersection of AI and Human Resources, guiding students through the development of AI-driven tools for recruitment, candidate evaluation, and career planning. The course begins with an introduction to the recruitment landscape and a Student Compass session, offering insights into career paths after a bachelor's degree. Through three structured use cases, participants will gain practical experience in prompt engineering, semantic search, and machine learning. They will build AI-powered solutions to detect discrimination in job ads, match candidates with job opportunities, and design career growth paths based on skills and objectives. Additionally, dedicated Data Science modules will provide essential knowledge on data visualization and real-world HR applications. By the end of the lab, students will have developed a solid understanding of AI's role in HR and will be equipped with valuable technical and analytical skills for the job market.
Prerequisiti
Programming in Python.
Metodi didattici
Educational activities in computer laboratory.
Materiale di riferimento
Slides of the lessons, posted after each class.
- James Phoenix, Mike Taylor, Prompt Engineering for Generative AI, O'Reilly Media Inc., ISBN: 9781098153434, https://www.oreilly.com/library/view/prompt-engineering-for/9781098153427/
- Edward R. Tufte, The Visual Display of Quantitative Information, Graphic Press LLC, https://www.edwardtufte.com/book/the-visual-display-of-quantitative-information/
Modalità di verifica dell’apprendimento e criteri di valutazione
Students evaluation will be based on the quality of the 3 solutions developed during the lab.
- CFU: 3
Laboratori Umanistici: 36 ore