École de technologie supérieure, Service aux diplômés et à la philanthropie

### Context Profile for École de technologie supérieure, Service aux diplômés et à la philanthropie

#### 1. Organization Mission & Cause
The École de technologie supérieure (ETS) focuses on enhancing the educational experience of its graduates through philanthropy and community engagement. Their mission is to foster a strong alumni network and support the development of future engineers and technologists by encouraging contributions that enhance educational programs and student experiences. The organization emphasizes the importance of community and collaboration among alumni, students, and faculty to create a lasting impact.

#### 2. Type of Activities
- **Events**: The organization hosts various events, including sporting events like the "Match des Alouettes," which encourages alumni and students to engage socially and support local teams.
- **Fundraising Campaigns**: They run campaigns to raise funds for educational initiatives, scholarships, and community programs.
- **Community Programs**: The organization promotes networking opportunities and community building among graduates and current students, fostering a sense of belonging and support.

#### 3. Tone of Voice
The tone of voice used by the organization is friendly, inviting, and community-oriented. Communications are casual yet professional, aiming to inspire engagement and participation. The language is accessible, with a focus on creating a welcoming atmosphere for alumni and students alike.

#### 4. Emoji Usage
The organization does not prominently use emojis in their communications. The tone remains professional and straightforward, focusing on clarity and engagement without relying on emoji expressions.

#### 5. Key Facts
- **Founding Info**: École de technologie supérieure is a well-established institution in Montreal, focusing on engineering and technology education.
- **Scale**: The organization has conducted 39 total forms and email campaigns, indicating a robust engagement strategy with its community.
- **Impact Metrics**: While specific impact metrics are not detailed on the website, the emphasis on community and alumni engagement suggests a focus on building a supportive network that contributes to the success of graduates.
- **Volunteer Info**: The organization encourages alumni involvement, though specific volunteer opportunities may not be explicitly outlined on the website.

#### 6. Writing Guidelines
- **Style**: Use a friendly and approachable tone, maintaining professionalism. Aim for clarity and conciseness in messaging.
- **Structure**: Organize content logically, with clear headings and bullet points where applicable to enhance readability.
- **Call to Action**: Include clear calls to action in communications, encouraging participation in events and support for fundraising initiatives.
- **Personalization**: Use personalized greetings in emails, addressing recipients by name to foster a sense of connection.

This context profile serves as a foundational guide for creating tailored content that aligns with the mission and values of École de technologie supérieure, Service aux diplômés et à la philanthropie.

Un service de café sera offert pendant le cours.
Le prix inclut les taxes applicables.

Étudiant(e)

A coffee service will be offered during the class. Price includes applicable taxes.

Students

Régulier

Regular

This workshop explores the integration of machine learning in rock engineering, addressing challenges like data quality, subjective information, and discontinuous datasets. Participants will learn about preprocessing, model reliability, and validation. Featuring case studies and interactive activities, it concludes with a Q&amp;A session for deeper insights into ML applications in rock engineering.&nbsp;Instructor: Dr. Davide Elmo, professor at UBC<a fr-original-style="" href="https://www.linkedin.com/in/davide-elmo-2191b320/" style="text-decoration-color: initial; user-select: auto; box-sizing: inherit;">https://www.linkedin.com/in/davide-elmo-2191b320/</a>&nbsp;&nbsp;For more information about the workshop, please visit the WORKSHOPS tab on&nbsp;<a fr-original-style="" href="http://www.rockeng2025.com" style="text-decoration-color: initial; user-select: auto; box-sizing: inherit;">www.rockeng2025.com</a>&nbsp;

INVOICE Hello, Your registration is confirmed for the Workshop WS1 - From Data to Models: Navigating the Challenges of Applying Machine Learning in Rock Engineering. This email serves as your invoice. Please note that the amount indicated includes taxes.&nbsp;TPS / GST : R121943716 (5%)TVQ / QST : &nbsp; 1006140757-TQ0001 (9.975%)&nbsp;As a reminder, here is the information related to your registration. 📆 <span contenteditable="false" data-custom-variable="{{date-variable-b6ecd385-9def-4d06-9c45-6d7579722d0f}}" fr-original-class="fr-deletable styled-tag-chip" fr-original-style="" style="background-color: rgb(248, 248, 255); border: 1px solid rgb(191, 191, 255); border-radius: 4px; color: rgb(42, 42, 196); padding: 1px 8px; font-size: 11px; display: inline-block; margin: 0px; overflow-wrap: anywhere; user-select: none; box-sizing: inherit;">Date&nbsp;📍 1100, Notre-Dame W., Montreal Looking forward to seeing you there! The RockEng 2025 Team

This workshop explores the integration of machine learning in rock engineering, addressing challenges like data quality, subjective information, and discontinuous datasets. Participants will learn about preprocessing, model reliability, and validation. Featuring case studies and interactive activities, it concludes with a Q&amp;A session for deeper insights into ML applications in rock engineering. Instructor: Dr. Davide Elmo, professor at UBC<a href="https://www.linkedin.com/in/davide-elmo-2191b320/">https://www.linkedin.com/in/davide-elmo-2191b320/</a>  For more information about the workshop, please visit the WORKSHOPS tab on <a href="http://www.rockeng2025.com">www.rockeng2025.com</a>

Workshop WS1 - From Data to Models: Navigating the Challenges of Applying Machine Learning to Rock Engineering

Cet atelier explore l&rsquo;int&eacute;gration de l&rsquo;apprentissage automatique en ing&eacute;nierie des roches, en abordant des d&eacute;fis tels que la qualit&eacute; des donn&eacute;es, les informations subjectives et les ensembles de donn&eacute;es discontinus. Les participants apprendront le pr&eacute;traitement, la fiabilit&eacute; et la validation des mod&egrave;les. Des &eacute;tudes de cas et des activit&eacute;s interactives m&egrave;neront &agrave; une s&eacute;ance de questions-r&eacute;ponses pour approfondir les applications de l&rsquo;IA en ing&eacute;nierie des roches.&nbsp;Instructeur&nbsp;: Dr. Davide Elmo, professeur &agrave; UBC<a fr-original-style="text-decoration-color:initial;user-select:auto;box-sizing:inherit;" href="https://www.linkedin.com/in/davide-elmo-2191b320/" style="text-decoration-color:initial;user-select:auto;box-sizing:inherit;">https://www.linkedin.com/in/davide-elmo-2191b320/</a>&nbsp;Pour plus d&rsquo;informations sur l&rsquo;atelier, veuillez visiter l&rsquo;onglet WORKSHOPS sur <a fr-original-style="text-decoration-color:initial;user-select:auto;box-sizing:inherit;" href="http://www.rockeng2025.com" style="text-decoration-color:initial;user-select:auto;box-sizing:inherit;">www.rockeng2025.com</a>.

FACTURE Bonjour, Votre inscription est confirm&eacute;e pour le Workshop WS1 - Des donn&eacute;es aux mod&egrave;les : relever les d&eacute;fis de l&rsquo;application de l&rsquo;apprentissage machine en ing&eacute;nierie des roches. Ce courriel repr&eacute;sente votre facture. Notez que le montant indiqu&eacute; comprend les taxes.&nbsp;TPS / GST : R121943716 (5%)TVQ / QST : &nbsp; 1006140757-TQ0001 (9.975%)&nbsp;Pour rappel, voici les informations relatives &agrave; votre inscription. <span fr-original-class="fr-emoticon fr-deletable fr-emoticon-img" fr-original-style="background: url(https://cdnjs.cloudflare.com/ajax/libs/emojione/2.0.1/assets/svg/1f4c6.svg);" style='background: url("https://cdnjs.cloudflare.com/ajax/libs/emojione/2.0.1/assets/svg/1f4c6.svg"); font-weight: 400; font-family: "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; display: inline-block; line-height: 1; box-sizing: inherit; font-size: inherit; height: 1em; width: 1em; min-height: 20px; min-width: 20px; margin: -0.1em 0.1em 0.1em; vertical-align: middle;'>&nbsp; <span contenteditable="false" data-custom-variable="{{date-variable-80cfe431-8c58-41d2-bda6-a782adf541c9}}" fr-original-class="fr-deletable styled-tag-chip" fr-original-style="" style="background-color: rgb(248, 248, 255); border: 1px solid rgb(191, 191, 255); border-radius: 4px; color: rgb(42, 42, 196); padding: 1px 8px; font-size: 11px; display: inline-block; margin: 0px; overflow-wrap: anywhere; user-select: none; box-sizing: inherit;">Date&nbsp;<span fr-original-class="fr-emoticon fr-deletable fr-emoticon-img" fr-original-style="background: url(https://cdnjs.cloudflare.com/ajax/libs/emojione/2.0.1/assets/svg/1f4cd.svg);" style='background: url("https://cdnjs.cloudflare.com/ajax/libs/emojione/2.0.1/assets/svg/1f4cd.svg"); font-weight: 400; font-family: "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; display: inline-block; line-height: 1; box-sizing: inherit; font-size: inherit; height: 1em; width: 1em; min-height: 20px; min-width: 20px; margin: -0.1em 0.1em 0.1em; vertical-align: middle;'>&nbsp; <span contenteditable="false" data-custom-variable="{{location-variable-a746f632-a0ea-4257-8156-6de51e1d7fca}}" fr-original-class="fr-deletable styled-tag-chip" fr-original-style="" style="background-color: rgb(248, 248, 255); border: 1px solid rgb(191, 191, 255); border-radius: 4px; color: rgb(42, 42, 196); padding: 1px 8px; font-size: 11px; display: inline-block; margin: 0px; overflow-wrap: anywhere; user-select: none; box-sizing: inherit;">Lieu Au plaisir de vous y voir! L&#39;&eacute;quipe de RockEng 2025

Cet atelier explore l’intégration de l’apprentissage automatique en ingénierie des roches, en abordant des défis tels que la qualité des données, les informations subjectives et les ensembles de données discontinus. Les participants apprendront le prétraitement, la fiabilité et la validation des modèles. Des études de cas et des activités interactives mèneront à une séance de questions-réponses pour approfondir les applications de l’IA en ingénierie des roches. Instructeur : Dr. Davide Elmo, professeur à UBC<a href="https://www.linkedin.com/in/davide-elmo-2191b320/">https://www.linkedin.com/in/davide-elmo-2191b320/</a> Pour plus d’informations sur l’atelier, veuillez visiter l’onglet WORKSHOPS sur <a href="http://www.rockeng2025.com">www.rockeng2025.com</a>.

FR

École de technologie supérieure, Service aux diplômés et à la philanthropie

Workshop WS1 - From Data to Models: Navigating the Challenges of Applying Machine Learning to Rock Engineering

1100 R. Notre Dame O

Students

$86

Regular

$230