In the summer of 2023 Howest will host the first edition of the AI Summer Camp (3 ECTS). Students from participating schools will gather in Bruges for a week of intensive training and real life exercises in Machine Learning, Deep Learning, Data Processing and some exciting social activities.
Programme
Online
| Monday 19/06/2023 |
Tuesday 20/06/2023 |
|
|---|---|---|
| 08:30 | Data Preprocessing | |
| 09:30 | Data Preprocessing | |
| 10:00 | Break | |
| Data Preprocessing | ||
| 11:30 | Data Preprocessing | |
| 12:30 | Kickoff AI Summer Camp 2023 (starts at 13:00) | |
| 13:30 | Python for AI | Data Visualization |
| 14:30 | Python for AI | Data Visualization |
| Break | Break | |
| 15:30 | Python for AI | Data Visualization |
| 16:30 | Python for AI | Data Visualization |
Agenda
| Monday 26/06/2023 |
Tuesday 27/06/2023 |
Wednesday 28/06/2023 |
Thursday 29/06/2023 |
Friday 30/06/2023 |
|
|---|---|---|---|---|---|
| 09:00 | Machine Learning (regression) | Machine Learning (unsupervised learning) | Deep Learning | Deep Learning (computer vision) | The Future of AI |
| 09:30 | Machine Learning (regression) | Machine Learning (unsupervised learning) | Deep Learning | Deep Learning (computer vision) | The Future of AI |
| 11:00 | Machine Learning (regression) | Machine Learning (unsupervised learning) | Deep Learning | Deep Learning (computer vision) | The Future of AI |
| 12:00 | Machine Learning (regression) | Machine Learning (unsupervised learning) | Deep Learning | Deep Learning (computer vision) | The Future of AI |
| 12:30 | LUNCH at DaD | ||||
| 13:30 | Machine Learning (regression) | AI Ethics (Johan) | social activity | Deep Learning (NLP) | |
| 14:30 | Machine Learning (regression) | AI Ethics (Johan) | social activity | Deep Learning (NLP) | |
| 15:30 | Machine Learning (regression) | Low code platforms | social activity | Deep Learning (NLP) | |
| 16:30 | Machine Learning (regression) | Low code platforms | social activity | Deep Learning (NLP) | |
Prerequisites
- Make sure to bring a laptop
- The Howest campus is a cashless campus so bring your bankcard.
Student accomodation and facilities
Other
There are many hotels and AirBnb places in the city. Make sure to book as soon as possible because it can be very busy in this city!
Food and beverages
- There is a budget friendly student restaurant on campus where you can buy a lunch and beverages.
- There are plenty of shops nearby the campus or in the city center.
Contact gene [at] howest.be (Gene Vangampelaere) for more information.
This is an Erasmus+ Blended Intensive Programme
