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Laboratories

This page contains a list of the labs organized by the DSE Faculty in each academic year.

Labs usually consist of 20 hours of practical activities.

A minimum attendance of 75% is required to be assigned 3 ECTS.

Credits earned from labs will count as elective credits (a total of 9 elective credits are required to all DSE students).

Contacts

DSE Secretariat: dse@unimi.it

 

Laboratories a.y. 2023-2024
  • Data Visualization Narratives - Prof. Beatrice Gobbo 
    [both elective credits or transversal skill activity]
     
  • Conducting Experiments in Economics - Prof. Antonio Filippin
     
  • Data Scientist for Business Communication (Assolombarda)  - (also ascribable/available as Transversal Skill); Prof. Silvia Salini
  • Official Statistics: organisational and data of the ISTAT (ISTAT) - (also ascribable/available as Transversal Skill); Prof. Silvia Salini
  • Modelling, Clustering, Forecasting and Presenting Post Trade Data (Euronext) - INTERNSHIP ONLY

 

  • Football Analytics (Soccerment) - (also ascribable/available as Transversal Skill);

 

  • Cloud and Distributed environments for analytics in a Luxury Brand (Prada) - (also ascribable/available as Transversal Skill);

  • Advanced Analytics in Marketing (Intarget)

 

  • Data Analytics stories with Power BI Lab

 

  • Data Story telling / Data Visualization (Softlab)

 

  • Hackathon: Deploy Machine Learning Models on Google Cloud Platform (Guidotti)

 

  • ML in finance: forecasting and usage of large language models (Ammagamma Srl) - (also ascribable/available as Transversal Skill);

 

  • Nutritional Epidemiology - Prof.ssa Edefonti and Prof.ssa Bravi

 

  • Personalized Healthcare - Prof. Biganzoli

Lectures on Optimal Transport and Economic Applications

Description: See the attached syllabus

Instructor: Alfred Galichon, Visiting Professor from New York University in Paris

Academic Year: 2023-2024, 20 hours/3 credits

Period: first and third term

Available seats: limitless (open to DSE + Ph.D. in Economics students)

Timetable: (all classes in the Computer Room on the 2nd floor, via Livorno 1)

  • Thu 26 Oct 2023 - from 14:30 till 18:30
  • Fri 27 Oct 2023 - from 10:30 till 12:30 + from 14:30 till 18:30
  • Thu 6 Jun 2024 - from 14:30 till 18:30
  • Fri 7 Jun 2024 - from 10:30 till 12:30 + from 14:30 till 18:30

Registration: via form shared by email (you will be notified when you can apply)

Machine Learning for Causal Inference in Econometrics

Description: See the attached syllabus

Instructor: Anna Simoni, Visiting Professor from CNRS and CREST (National Center of Scientific Research - Campus École Polytechnique Palaiseau [France])

Academic Year: 2023-2024, 16 hours/3 credits

Period: second and third term

Available seats: 20 (open to DSE + Ph.D. in Economics students)

Timetable: (updated on Mar 3 2024)

  • Thu 15 Feb 2024 │14:30 – 16:30 DEMM Seminar Room (2nd floor) - via Conservatorio 7
  • Mon 19 Feb 2024 │10:30 – 12:30 DEMM Seminar Room (2nd floor) - via Conservatorio 7
  • Tue 20 Feb 2024 │10:30 – 12:30 DEMM Seminar Room (2nd floor) - via Conservatorio 7
  • Wed 21 Feb 2024 │12:30 – 14:30 DEMM Seminar Room (2nd floor) - via Conservatorio 7
     
  • Wed 10 Apr 2024 | 11:00 – 12:30 DEMM Seminar Room (2nd floor) - via Conservatorio 7
  • Fri 12 Apr 2024 | 14:30 – 16:00 DEMM Seminar Room (2nd floor) - via Conservatorio 7
  • Mon 15 Apr 2024 | 10:30 – 13:30 Seminar Room via Livorno 1

Registration: via form shared by email (you will be notified when you can apply)

Introduction to general and generalized linear models: Classical and Bayesian Inference

Description: See the attached syllabus

Instructor: Luciana Dalla Valle, Visiting Professor from University of Plymouth (UK)

Academic Year: 2023-2024, 20 hours/3 credits

Period: third term

Available seats: max. 20 (open to DSE students only)

Timetable: from Monday 17 June until Friday 21 June 2024, everyday from 14:00h till 18:00h in DEMM Seminars Room "Giorgio Pizzutto" (2nd floor)

Registration: via form shared by email (you will be notified when you can apply)

Important: Students will be asked to bring their own laptop with RStudio and JAGS softwares installed. Please follow the instructions available here.

Laboratories a.y. 2022-2023
  • Nutritional Epidemiology: methods and practice (1st trimester) - Proff. Valeria Edefonti, Francesca Bravi
  • Official Statistics: organization and data of Italian National Institute of Statistics - ISTAT (2nd trimester) - Prof.ssa Silvia Salini

 

  • Cloud and Distributed Environments for Analytics in a Luxury Brand - Prada Group (2nd trimester) - Prof. Stefano Montanelli

 

  • Data Scientist for Business Communication - Assolombarda (2nd trimester) - Prof.ssa Silvia Salini

 

  • Reinforcement Learning - within the university (2nd trimester) - Prof. Cesa Bianchi

 

  • Retrieving Skills from STEM Job Descriptions and Matching with CVs - Open Search Group (2nd trimester) - Prof.ssa Silvia Salini

 

  • Modelling, Clustering and Forecasting Post Trade data (Borsa Italiana) - INTERNSHIP (2nd trimester) - N.D.
  • Data Valorization for Fintech - AcomeA SGR S.p.A. - Gimme5 (3rd trimester) - Prof.ssa Silvia Salini

 

  • Data Solutions for marketing - Intarget Group (3rd trimester) - Prof. Stefano Montanelli

 

  • Hackathon: Deploy Machine Learning Models on Google Cloud Platform - Emanuele Guidotti (3rd trimester) - Prof. Stefano Montanelli

 

  • Text data for trading - Ammagamma (3rd trimester) - Prof.ssa Silvia Salini

 

  • Personalized Health Care - within the university (3rd trimester) - Proff. Federico Ambrogi, Elia Biganzoli

 

  • Data Analytics & Digital Transformation - Deloitte (3rd trimester) - Prof.ssa Silvia Salini