---
# System prepended metadata

title: M2-AI Internship Presentations 2024-25
tags: [M2 Internship]

---

# M2-AI Internship Presentations 2024-25

## Location

**LISN (Belvédère)**
Campus Universitaire bât. **507** -- Rue du Belvédère -- 91400 Orsay
**Conference Room**

## Program

The presentation is scheduled on September 3. We will communicate your exact schedule soon. 

It should last **strictly between 15 and 20 min**, followed by 10 min of questions from the jury.

<iframe class="airtable-embed" src="https://airtable.com/embed/apppG049aAUtlXmUQ/shr3HbWWKy98RRx29?viewControls=on" frameborder="0" onmousewheel="" width="100%" height="533" style="background: transparent; border: 1px solid #ccc;"></iframe>


## To The Students

### Internship Evaluations

Your internship supervisor (host institution) must fill in the form on **August 31 (23:59)** at the latest and send a copy of the ***Global assessment* text field** to: Marc Evrard and Thomas Gerald.
Here is the link you will have to forward to your internship supervisor:

https://airtable.com/apppG049aAUtlXmUQ/shrpHzwWFjddIebrP


### Report Grading

Submit the report through [this form](https://airtable.com/apppG049aAUtlXmUQ/shrOvIBfMXpGeFgJs) on **August 31 (23:59)** at the latest.

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The internship supervisor and the academic advisor may use the following guidelines to give a grade out of 20 points for the report.

*   Originality (5 points)
    Whether the proposed approach, analysis, and/or algorithms contain original ideas.
*   Scientific and technical quality (10 points)
    Whether:
    *   The algorithms are implemented clearly and efficiently
    *   Systematic experiments are conducted with comparisons with baseline methods and error bars
    *   Good visualizations are presented
    *   Results are critically assessed
*   Presentation (5 points)
    Whether the report is clearly written, well-presented with enough figures and graphs (referenced in the text and with good captions), and a bibliography.

### Oral Presentation Grading

The internship supervisor, academic advisor, and jury members may use the following guidelines to give a grade out of 20 points for the oral presentation:

*   Problem Setting (4 points)
    Understanding and good presentation of the problem, including a description of the data to be analyzed (if relevant).
*   State of the art (4 points)
    Literature review.
*   Method (4 points)
    The scientific and technical approach chosen, methodology: relevance and originality.
*   Results (4 points)
    Results and critical comparison with other approaches.
*   Presentation (4 points)
    Clarity of the presentation and charisma.

General information regarding the internship:
https://sites.google.com/chalearn.org/ai-master/m2-internships?authuser=0


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## To The Graders

The academic advisor will read and grade the student's report and participate in the collective grading of the presentation.

Templates:

* For the report:
https://docs.google.com/spreadsheets/d/1ZoTwQLOLHpld4-r_UrJzpKR9mstRsbpWTHoddhDNl7s/edit?usp=sharing
* For the presentation:
https://docs.google.com/spreadsheets/d/1lcfOsfdB_iP-EgxnxRRyXFJqfaPRvCUS_9r5n9sOdD8/edit?usp=sharing

The templates are **read-only** and thus need to be duplicated to be filled on your account.

 -->