Hello Student,

 

This email explains how to prepare for the Lab Delivery Session. Also, to let you know the teams for the lab. Thus, please check your day and teammate below. 

 

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Monday Lab Sessions:

 

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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 OLS email)
• 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,

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Best regards,

 

Gerardo Marx

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