Name: East-African School for Young Researchers on Advanced Machine Learning Techniques
Start: 2025-07-09T07:30:00+03:00
End: 2025-07-22T19:00:00+03:00
Location: University of Nairobi, Chiromo Campus

Monday, July 7, 2025
Tuesday, July 8, 2025
Wednesday, July 9, 2025

8:00 AM Registration
Registration
8:00 AM - 8:30 AM
8:30 AM Welcome address - Ian Kaniu (University of Nairobi)
Welcome address
- Ian Kaniu (University of Nairobi)
8:30 AM - 9:00 AM
9:00 AM What is Artificial Intelligence? Machine Learning? + Ethics - Claire David (AIMS South Africa)
What is Artificial Intelligence? Machine Learning? + Ethics
- Claire David (AIMS South Africa)
9:00 AM - 10:30 AM
Morning session I: What is Artificial Intelligence? Machine learning? + Ethics
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Linear Regression - Claire David (AIMS South Africa)
Linear Regression
- Claire David (AIMS South Africa)
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Linear Regression (Continued) + Tutorial - Edna Milgo (Open University of Kenya/ UoN) Claire David (AIMS South Africa)
Linear Regression (Continued) + Tutorial
- Edna Milgo (Open University of Kenya/ UoN)
- Claire David (AIMS South Africa)
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Python Primer + Tutorial - Edna Milgo (Open University of Kenya/ UoN)
Python Primer + Tutorial
- Edna Milgo (Open University of Kenya/ UoN)
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Introduction to the project session
Introduction to the project session
5:30 PM - 6:00 PM
Thursday, July 10, 2025

7:30 AM Daily registration
Daily registration
7:30 AM - 8:00 AM
8:00 AM Classification 1/2 - Edna Milgo (Open University of Kenya/ UoN)
Classification 1/2
- Edna Milgo (Open University of Kenya/ UoN)
8:00 AM - 9:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
9:30 AM Official opening
Official opening
9:30 AM - 10:30 AM

10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Classification 2/2 + Performance Metrics - Edna Milgo (Open University of Kenya/ UoN)
Classification 2/2 + Performance Metrics
- Edna Milgo (Open University of Kenya/ UoN)
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Assignment: Make Your Own Classifier! - Claire David (AIMS South Africa)
Assignment: Make Your Own Classifier!
- Claire David (AIMS South Africa)
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Assignment (Continued) + Bonus (SVM) - Claire David (AIMS South Africa) Edna Milgo (Open University of Kenya/ UoN)
Assignment (Continued) + Bonus (SVM)
- Claire David (AIMS South Africa)
- Edna Milgo (Open University of Kenya/ UoN)
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
5:30 PM - 7:00 PM
Friday, July 11, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Review + Introduction to Neural Networks - Claire David (AIMS South Africa)
Review + Introduction to Neural Networks
- Claire David (AIMS South Africa)
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Perceptron - Edna Milgo (Open University of Kenya/ UoN)
Perceptron
- Edna Milgo (Open University of Kenya/ UoN)
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Forward Propagation - Claire David (AIMS South Africa)
Forward Propagation
- Claire David (AIMS South Africa)
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Forward Propagation, by Hand! - Claire David (AIMS South Africa)
Forward Propagation, by Hand!
- Claire David (AIMS South Africa)
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Poster session
Poster session
5:30 PM - 7:00 PM
Saturday, July 12, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Backpropagation - Claire David (AIMS South Africa)
Backpropagation
- Claire David (AIMS South Africa)
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Towards Deep Learning - Claire David (AIMS South Africa)
Towards Deep Learning
- Claire David (AIMS South Africa)
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Kick-start Assignment - Edna Milgo (Open University of Kenya/ UoN) Claire David (AIMS South Africa)
Kick-start Assignment
- Edna Milgo (Open University of Kenya/ UoN)
- Claire David (AIMS South Africa)
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Code a Neural Network by Hand! - Edna Milgo (Open University of Kenya/ UoN) Claire David (AIMS South Africa)
Code a Neural Network by Hand!
- Edna Milgo (Open University of Kenya/ UoN)
- Claire David (AIMS South Africa)
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
5:30 PM - 7:00 PM
Sunday, July 13, 2025

8:00 AM Excursion
Excursion
8:00 AM - 7:00 PM

Monday, July 14, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Ethics in AI - Claire David (AIMS South Africa)
Ethics in AI
- Claire David (AIMS South Africa)
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Debate - Claire David (AIMS South Africa) Edna Milgo (Open University of Kenya/ UoN)
Debate
- Claire David (AIMS South Africa)
- Edna Milgo (Open University of Kenya/ UoN)
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Unsupervised Learning - Charles Ndegwa Patrick Gikunda
Unsupervised Learning
- Charles Ndegwa
- Patrick Gikunda
2:00 PM - 3:30 PM
Artificial Neural Networks Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Unsupervised Learning - Charles Ndegwa Patrick Gikunda
Unsupervised Learning
- Charles Ndegwa
- Patrick Gikunda
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
5:30 PM - 7:00 PM
Tuesday, July 15, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Unsupervised Learning - Patrick Gikunda Charles Ndegwa
Unsupervised Learning
- Patrick Gikunda
- Charles Ndegwa
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Unsupervised Learning - Patrick Gikunda Charles Ndegwa
Unsupervised Learning
- Patrick Gikunda
- Charles Ndegwa
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Practice with PyTorch - Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda
Practice with PyTorch
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Practice with PyTorch - Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Practice with PyTorch
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM The Engineering and Science Complex of the University of Nairobi
The Engineering and Science Complex of the University of Nairobi
5:30 PM - 6:15 PM
Wednesday, July 16, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Practice with PyTorch - Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Practice with PyTorch
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Practice with PyTorch - Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda
Practice with PyTorch
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Demo from a recent PhD work: An Intelligent Traffic Light Control Model based on Deep Reinforcement Learning Algorithm
Demo from a recent PhD work: An Intelligent Traffic Light Control Model based on Deep Reinforcement Learning Algorithm
5:30 PM - 6:15 PM
Thursday, July 17, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Graph Neural Networks - Patrick Gikunda
Graph Neural Networks
- Patrick Gikunda
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Graph Neural Networks - Patrick Gikunda
Graph Neural Networks
- Patrick Gikunda
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
5:30 PM - 7:00 PM
Friday, July 18, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Generative Models & Transformers - Patrick Gikunda
Generative Models & Transformers
- Patrick Gikunda
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Generative Models & Transformers - Patrick Gikunda
Generative Models & Transformers
- Patrick Gikunda
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Demo from a recent PhD work: Enhanced Malaria Preparedness through Climate Data-Driven Small Area Prediction of Future Malaria Case Burden
Demo from a recent PhD work: Enhanced Malaria Preparedness through Climate Data-Driven Small Area Prediction of Future Malaria Case Burden
5:30 PM - 6:15 PM
Saturday, July 19, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
8:30 AM - 10:30 AM
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 AM Coffee and tea break
Coffee and tea break
10:30 AM - 11:00 AM
11:00 AM Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
11:00 AM - 12:30 PM
Morning Session II: Application, discussion, hands-on practice
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Boosted Decision Trees - Charles Ndegwa Luca Cadamuro (IJCLab)
Boosted Decision Trees
- Charles Ndegwa
- Luca Cadamuro (IJCLab)
2:00 PM - 3:30 PM
Afternoon Session I: More hands-on: coding lab, group work, demos
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM
4:00 PM Boosted Decision Trees - Luca Cadamuro (IJCLab) Charles Ndegwa
Boosted Decision Trees
- Luca Cadamuro (IJCLab)
- Charles Ndegwa
4:00 PM - 5:30 PM
Afternoon Session II: Light content: Q&A, recap, open discussion
5:30 PM Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
5:30 PM - 7:00 PM
Sunday, July 20, 2025

8:00 AM Free time
Free time
8:00 AM - 7:00 PM

Monday, July 21, 2025

8:00 AM Daily registration
Daily registration
8:00 AM - 8:30 AM
8:30 AM Common Dataset Hands-On Exercise - Charles Ndegwa Patrick Gikunda Luca Cadamuro (IJCLab) Isabelle Rocamora (ISTerre Grenoble)
Common Dataset Hands-On Exercise
- Charles Ndegwa
- Patrick Gikunda
- Luca Cadamuro (IJCLab)
- Isabelle Rocamora (ISTerre Grenoble)
8:30 AM - 12:30 PM
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Common Dataset Hands-On Exercise - Luca Cadamuro (IJCLab) Charles Ndegwa Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Common Dataset Hands-On Exercise
- Luca Cadamuro (IJCLab)
- Charles Ndegwa
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
2:00 PM - 6:00 PM
7:00 PM Gala dinner at the United Kenya Club
Gala dinner at the United Kenya Club
7:00 PM - 9:00 PM
Tuesday, July 22, 2025

8:00 AM Daily Registration
Daily Registration
8:00 AM - 8:30 AM
8:30 AM Common Dataset Hands-On Exercise - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa Luca Cadamuro (IJCLab) Patrick Gikunda
Common Dataset Hands-On Exercise
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
- Luca Cadamuro (IJCLab)
- Patrick Gikunda
8:30 AM - 12:30 PM
12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM Discussion on common Dataset Hands-On Exercise - Charles Ndegwa Luca Cadamuro (IJCLab) Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Discussion on common Dataset Hands-On Exercise
- Charles Ndegwa
- Luca Cadamuro (IJCLab)
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
2:00 PM - 3:30 PM
3:30 PM Coffee and tea break
Coffee and tea break
3:30 PM - 4:00 PM

4:00 PM Closing session
Closing session
4:00 PM - 5:00 PM

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