Module 1

Note: Materials for each Practicum will be updated and uploaded right before the corresponding lecture.

Lecture 1 and 2:

• Clustering Outline
• Clustering Practicum

Lecture 3:

• PCA Outline
• PCA Practicum

Lecture 4:

• Classification Outline
• Classification Practicum

Lecture 5:

• Smooothing Outline
• Smooothing Practicum
• Smooothing Info and Demos from a course by Rafael A. Irizarry

Lecture 6:

• Cross Validation Outline
• Cross Validation Practicum

Lecture 6 and 7:

• Resampling Outline
• Resampling Practicum

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Module 2

Lecture 8:

• Review Outline (Linear and Generalized Linear models)

Lecture 9:

• Ridge and LASSO Outline
• Ridge and LASSO Practicum

Lecture 10:

• Feature Selection Outline
• Feature Selection Practicum

Lecture 11:

• Supervised Dimension Reduction Outline
• Supervised Dimension Reduction Practicum

Lecture 12:

• Feature Screening Outline
• Feature Screening Practicum

Lecture 13:

• Subsampling, Partitioning and Rebalancing Outline

Lecture 14:

• Reducing, Selecting and Leveraging Structure

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Projects

Oral Presentations Session

Thur May 09, 2024, 3:30pm onward, L'EMbeDS Lab (Aula 3, Via Maffi)

1. Group: Suqi Chen, Giovanni Stivella (SSSA Allievi). SLLD 1 and SLLD 2. A study of US election results based on demographic characteristics.

2. Group: Alessandro Valfré (SSSA Allievo), Chiara Marino (UniPi). SLLD 1 and SLLD 2. Populism On The Rise: Micro Analysis of Italian Election Results (2018 - 2019)

3. Group: Antonio Ciociola, Antonio Salvalaggio, Emanuele Rossi (SSSA Allievi). SLLD 1 and SLLD 2. Analysis on the popularity of songs on Spotify.

4. Group: Giulio Lanza, Giaime Paolo Pes (SSSA Allievi). SLLD 1. Classifiers for SPAM detection.

5. Group: Maurilio Menduni De Rossi, Lucia D’Amore(SSSA Allievi). SLLD 1. A longitudinal study of behavioral consequences of Early Life Stress in rats.

6. Group: Davide Bacigalupi, Pietro Pianini (SSSA Allievi). SLLD 2. Bankruptcy prediction using Taiwanese data.

7. Group: Davide Testa (PhD Student AI). SLLD 1 and SLLD 2. Unveiling Word Meaning: A statistical study on primitive semantic features.

8. Group: Tobias Recha, Geon Kang (PhD Students Agro-Bio Diversity). SLLD 1 and SLLD 2. Analysis of sorghum varieties based on phenotype and genotype.

9. Group: Saverio Barabuffi (Post-doctoral Student). SLLD 1 and SLLD 2. Study on quality of patents.

10. Group: Claudio Mazzi (PhD Student AI for Society). SLLD 1 and SLLD 2. Classification algorithms in healthcare data. Presented on May 29, 2024.

Instructions for Oral Presentations

Think of this as a short conference talk. It should be polished, engaging and clear. In terms of content, make sure you include

• Motivation and background: what were the aims of your project, and what is the context – in terms of subject matter questions, and in terms of applicable statistical and computational tools.
• What has been accomplished: state clearly what you were able to accomplish during the course, illustrate methods used and results.
• Where are things going: elaborate on future plans; can you envision what you did during the course as the basis for a continuing project/collaboration?

Some parameters:

• Plan on ~20 minutes.
• Plan on ~10-15 slides.
• Have an additional final slide with a complete list of references.
• If you are working in a group, members should alternate speaking.
• Rehearse your presentation to make sure that it fits in the allotted time (and, if you are working in a group, that the transitions between members are smooth).

Written Reports

Due date: Mon May 20, 2024

1. Group: Suqi Chen, Giovanni Stivella (SSSA Allievi). SLLD 1 and SLLD 2. Report.

2. Group: Alessandro Valfré (SSSA Allievo), Chiara Marino (UniPi). SLLD 1 and SLLD 2. Report.

3. Group: Antonio Ciociola, Antonio Salvalaggio, Emanuele Rossi (SSSA Allievi). SLLD 1 and SLLD 2. Report.

4. Group: Giulio Lanza, Giaime Paolo Pes (SSSA Allievi). SLLD 1. Report.

5. Group: Maurilio Menduni De Rossi, Lucia D’Amore(SSSA Allievi). SLLD 1. Report.

6. Group: Davide Bacigalupi, Pietro Pianini (SSSA Allievi). SLLD 2. Report.

7. Group: Davide Testa (PhD Student AI). SLLD 1 and SLLD 2. Report.

8. Group: Tobias Recha, Geon Kang (PhD Students Agro-Bio Diversity). SLLD 1 and SLLD 2. Report.

9. Group: Saverio Barabuffi (Post-doctoral Student). SLLD 1 and SLLD 2. Report.

10. Group: Claudio Mazzi (PhD Student AI for Society). SLLD 1 and SLLD 2. Report. Submitted on May 29, 2024.

Instructions for Written Reports

Loosely follow the format of a short journal article. Prepare the report including:

• Title
• Abstract (a summary with a clever spin)
• Introduction (articulate background and motivation)
• Methods
  • Short description of data and preprocessing steps
  • Short description of computational and statistical methodology used
• Results
  • Description of results obtained; tables and figures
• Discussion
  • Scientific interpretation of results, as applicable
  • Description of future plans to pursue this line of research
• References (as complete as you can)
• Appendix/Supplement
  • More details on Methods
  • More details on Results; tables and figures not reported in the main text
  • You may also report here techniques that you explored and discarded.

Try not to exceed 15 pages for your main text (this count does not include References and Appendix and Supplement).

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Further material