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

lundi 7 juillet 2025
mardi 8 juillet 2025
mercredi 9 juillet 2025

08:00 Registration
Registration
08:00 - 08:30
08:30 Welcome address - Ian Kaniu (University of Nairobi)
Welcome address
- Ian Kaniu (University of Nairobi)
08:30 - 09:00
09:00 What is Artificial Intelligence? Machine Learning? + Ethics - Claire David (AIMS South Africa)
What is Artificial Intelligence? Machine Learning? + Ethics
- Claire David (AIMS South Africa)
09:00 - 10:30
Morning session I: What is Artificial Intelligence? Machine learning? + Ethics
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Linear Regression - Claire David (AIMS South Africa)
Linear Regression
- Claire David (AIMS South Africa)
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Linear Regression (Continued) + Tutorial - Claire David (AIMS South Africa) Edna Milgo (Open University of Kenya/ UoN)
Linear Regression (Continued) + Tutorial
- Claire David (AIMS South Africa)
- Edna Milgo (Open University of Kenya/ UoN)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Python Primer + Tutorial - Edna Milgo (Open University of Kenya/ UoN)
Python Primer + Tutorial
- Edna Milgo (Open University of Kenya/ UoN)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Introduction to the project session
Introduction to the project session
17:30 - 18:00
jeudi 10 juillet 2025

07:30 Daily registration
Daily registration
07:30 - 08:00
08:00 Classification 1/2 - Edna Milgo (Open University of Kenya/ UoN)
Classification 1/2
- Edna Milgo (Open University of Kenya/ UoN)
08:00 - 09:30
Morning Session I: High-focus content (theory-heavy or technical demos)
09:30 Official opening
Official opening
09:30 - 10:30

10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 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 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Assignment: Make Your Own Classifier! - Claire David (AIMS South Africa)
Assignment: Make Your Own Classifier!
- Claire David (AIMS South Africa)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Assignment (Continued) + Bonus (SVM) - Edna Milgo (Open University of Kenya/ UoN) Claire David (AIMS South Africa)
Assignment (Continued) + Bonus (SVM)
- Edna Milgo (Open University of Kenya/ UoN)
- Claire David (AIMS South Africa)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
17:30 - 19:00
vendredi 11 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Review + Introduction to Neural Networks - Claire David (AIMS South Africa)
Review + Introduction to Neural Networks
- Claire David (AIMS South Africa)
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Perceptron - Edna Milgo (Open University of Kenya/ UoN)
Perceptron
- Edna Milgo (Open University of Kenya/ UoN)
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Forward Propagation - Claire David (AIMS South Africa)
Forward Propagation
- Claire David (AIMS South Africa)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Forward Propagation, by Hand! - Claire David (AIMS South Africa)
Forward Propagation, by Hand!
- Claire David (AIMS South Africa)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Poster Session A-E
Poster Session A-E
17:30 - 17:50

17:50 Poster session E-J
Poster session E-J
17:50 - 18:10

18:10 Poster session J-O
Poster session J-O
18:10 - 18:30

18:30 Poster Session P-W
Poster Session P-W
18:30 - 18:50
samedi 12 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Backpropagation - Claire David (AIMS South Africa)
Backpropagation
- Claire David (AIMS South Africa)
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Towards Deep Learning - Claire David (AIMS South Africa)
Towards Deep Learning
- Claire David (AIMS South Africa)
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Kick-start Assignment - Claire David (AIMS South Africa) Edna Milgo (Open University of Kenya/ UoN)
Kick-start Assignment
- Claire David (AIMS South Africa)
- Edna Milgo (Open University of Kenya/ UoN)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 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)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
17:30 - 19:00
dimanche 13 juillet 2025

08:00 Excursion
Excursion
08:00 - 19:00

lundi 14 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Ethics in AI - Claire David (AIMS South Africa)
Ethics in AI
- Claire David (AIMS South Africa)
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 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 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Unsupervised Learning - Charles Ndegwa Patrick Gikunda
Unsupervised Learning
- Charles Ndegwa
- Patrick Gikunda
14:00 - 15:30
Artificial Neural Networks Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Unsupervised Learning - Charles Ndegwa Patrick Gikunda
Unsupervised Learning
- Charles Ndegwa
- Patrick Gikunda
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
17:30 - 19:00
mardi 15 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Unsupervised Learning - Patrick Gikunda Charles Ndegwa
Unsupervised Learning
- Patrick Gikunda
- Charles Ndegwa
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Unsupervised Learning - Charles Ndegwa Patrick Gikunda
Unsupervised Learning
- Charles Ndegwa
- Patrick Gikunda
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Practice with PyTorch - Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda
Practice with PyTorch
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Practice with PyTorch - Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Practice with PyTorch
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 The Engineering and Science Complex of the University of Nairobi
The Engineering and Science Complex of the University of Nairobi
17:30 - 18:15
mercredi 16 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Practice with PyTorch - Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda
Practice with PyTorch
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Practice with PyTorch - Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble)
Practice with PyTorch
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Convolutional Neural Networks - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble)
Convolutional Neural Networks
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Convolutional Neural Networks - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble)
Convolutional Neural Networks
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 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
17:30 - 18:15
jeudi 17 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Convolutional Neural Networks - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble)
Convolutional Neural Networks
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Graph Neural Networks - Patrick Gikunda
Graph Neural Networks
- Patrick Gikunda
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Graph Neural Networks - Patrick Gikunda
Graph Neural Networks
- Patrick Gikunda
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
17:30 - 19:00
vendredi 18 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Generative Models & Transformers - Patrick Gikunda
Generative Models & Transformers
- Patrick Gikunda
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Generative Models & Transformers - Patrick Gikunda
Generative Models & Transformers
- Patrick Gikunda
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 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
17:30 - 18:15
samedi 19 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Convolutional Neural Networks - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble)
Convolutional Neural Networks
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
08:30 - 10:30
Morning Session I: High-focus content (theory-heavy or technical demos)
10:30 Coffee and tea break
Coffee and tea break
10:30 - 11:00
11:00 Convolutional Neural Networks - Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Convolutional Neural Networks
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
11:00 - 12:30
Morning Session II: Application, discussion, hands-on practice
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Boosted Decision Trees - Charles Ndegwa Luca Cadamuro (IJCLab)
Boosted Decision Trees
- Charles Ndegwa
- Luca Cadamuro (IJCLab)
14:00 - 15:30
Afternoon Session I: More hands-on: coding lab, group work, demos
15:30 Coffee and tea break
Coffee and tea break
15:30 - 16:00
16:00 Boosted Decision Trees - Luca Cadamuro (IJCLab) Charles Ndegwa
Boosted Decision Trees
- Luca Cadamuro (IJCLab)
- Charles Ndegwa
16:00 - 17:30
Afternoon Session II: Light content: Q&A, recap, open discussion
17:30 Free Time / Networking / Group work assignments
Free Time / Networking / Group work assignments
17:30 - 19:00
dimanche 20 juillet 2025

08:00 Free time
Free time
08:00 - 19:00

lundi 21 juillet 2025

08:00 Daily registration
Daily registration
08:00 - 08:30
08:30 Common Dataset Hands-On Exercise - Luca Cadamuro (IJCLab) Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa Patrick Gikunda
Common Dataset Hands-On Exercise
- Luca Cadamuro (IJCLab)
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
- Patrick Gikunda
08:30 - 12:30
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Common Dataset Hands-On Exercise - Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda Charles Ndegwa Luca Cadamuro (IJCLab)
Common Dataset Hands-On Exercise
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
- Charles Ndegwa
- Luca Cadamuro (IJCLab)
14:00 - 18:00
19:00 Gala dinner at the United Kenya Club
Gala dinner at the United Kenya Club
19:00 - 21:00
mardi 22 juillet 2025

08:00 Daily Registration
Daily Registration
08:00 - 08:30
08:30 Common Dataset Hands-On Exercise - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda Luca Cadamuro (IJCLab)
Common Dataset Hands-On Exercise
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
- Luca Cadamuro (IJCLab)
08:30 - 10:30
10:30 Tea and coffee break
Tea and coffee break
10:30 - 11:00
11:00 Preparation of the presentations on the hands-on exercises - Charles Ndegwa Isabelle Rocamora (ISTerre Grenoble) Patrick Gikunda Luca Cadamuro (IJCLab)
Preparation of the presentations on the hands-on exercises
- Charles Ndegwa
- Isabelle Rocamora (ISTerre Grenoble)
- Patrick Gikunda
- Luca Cadamuro (IJCLab)
11:00 - 12:30
12:30 Lunch
Lunch
12:30 - 13:30
13:30 Presentation on Hands-On Exercise - Luca Cadamuro (IJCLab) Patrick Gikunda Isabelle Rocamora (ISTerre Grenoble) Charles Ndegwa
Presentation on Hands-On Exercise
- Luca Cadamuro (IJCLab)
- Patrick Gikunda
- Isabelle Rocamora (ISTerre Grenoble)
- Charles Ndegwa
13:30 - 15:00
15:00 Closing session
Closing session
15:00 - 16:00

16:00 Coffee and tea break
Coffee and tea break
16:00 - 16:30

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