AIA26b: Lab Delivery Sessions and Teams

Hello Student,

This email explains how to prepare for the Laboratory Delivery Session. Also, to let you know, the teams for the Lab, no changes are allowed. Thus, please check your day and teammate below.

Monday Lab Sessions:

Team	Member 1	Member 2
Orion	Acosta Melchor Oscar Josafat	García Loe Fernando
Sirius	Chavez Peñaloza Jorge Luis	Rivera Alvarez Jose Martin
Vega	Cortes Rodriguez Ian Alexis	Méndez León Gabriel Nahum
Altair	Frutos Padilla Roberto	Serrano Victoria Rodrigo
Rigel	Gallegos Rodríguez Javier Emilio	Gama Cancino Carlos Andres
Polaris	Orozco García Martín	—
Arcturus	Caballero Campos Luis	—
Antares	Ortiz García Pablo David	—
Procyon	Torres Chavez Leonardo Ivan	—

Wednesday Lab Sessions:

Team	Member 1	Member 2
Alpha-One	Alcantara Rivera Jose Jesus	Mendez Lemus Miguel Angel
Beta-Two	Anota Méndez Diego Armando	Ezequiel Alvarado Mariana
Gamma-Three	Barreto Hernández Gerardo Ismael	Garduño Mercado Valeria
Delta-Four	Castro Hernández Luis Alexandro	Hernández Ríos José Luis
Echo-Five	Cedeño Flores Sol Fabricio	Marte Prado Jesus Andres
Foxtrot-Six	Contreras Molina Vangelis	Zarate Mora Jose Angel
Omega-Seven	Duran Ortiz Jonathan David	Garcia Hernandez Kevin Ivan

How to deliver your lab session tasks

1) Report format (required)

Bring your report as a single Jupyter Notebook (.ipynb) file, following the course guide:
https://blog-gmarx.itmorelia.com/posts/reports

Minimum expectations:

Clear title + student info
Brief introduction/Theoretical background
Objective and brief context
Procedure / methodology
Results (tables/plots/tasks in emails)
Discussion (what the results mean)
Conclusions (not required in this new modality)
References (if you used external sources)

2) What you must deliver in the session

During the delivery session you will present the results of the tasks defined in the OLS instruction email (the one that describes the specific activities to complete).

Be ready to:

Explain what you did and why; If you use IA, be prepared to explain code implementation and its results
Show your results directly (plots, outputs, measurements, comparisons, tables)
Point to the corresponding sections in your Markdown report

3) Live questions and code adjustments

This delivery is interactive. During your presentation, you must be able to:

Answer questions about your approach and results
Make small live code changes if needed (fixes, parameter changes, reruns, or improvements)
Reproduce your results (or explain any differences)

4) What to bring

Your Jupyter file/report with tables, plots, and results
Your project/code folder (ready to run)
Any data files used to generate results

See you in the delivery session,

Best regards,

Gerardo Marx

Professor and Lecturer
https://gmarx.itmorelia.com/lectures/artificial