Winter School 2021

2 credits available for a learning diary. Assignment:

• Write a learning diary on the lectures and discuss what are the main take-aways for your own work
• Target: 3-5 pages
• Deadline February 28, 2021
• Don’t forget to include your student number.
• Return to jari.nurmi@tuni.fi

Preliminary agenda

Monday 15.2.

9:00                  Opening (slides)

9:15                  Mohammed Elmusrati, UWASA: Introduction to ML

(please watch beforehand at least Lectures 1&2)

1. Preface to the online lectures (2 mins) at: https://youtu.be/KBXbpRj_rbc
2. Required: Lecture 1 – Machine Learning – General View -Part 1 (first 45 mins) at:  https://youtu.be/bN7kcq1a-hk
3. Required: Lecture 2 – Machine Learning – General View -Part 2 (first 60 mins) at: https://youtu.be/RwrjgvB3FJ8
4. Recommended: Lecture 3 – Machine Learning – Regression and Supervised Learning -Part 1 (80 mins): https://youtu.be/IOvLyCO8rOI
5. Recommended: Lecture 4 – Machine Learning – Regression and Supervised Learning – Part 2 (85 mins): https://youtu.be/fxmqC3RYglU

10:45                Break

11:00                Mohammed Elmusrati, UWASA: Discussion and Q&A on the introduction, conclusions on the online lectures

11:45                Long break

13:00               Jani Boutelier, UWASA: Explainable AI

13:45                Satu Tamminen, UO: Understandable AI

15:15                break

15:30               Francesco Morandin, Parma University:

Deep learning methods: a practical approach

17:00               End of day

 

Tuesday 16.2.

9:00                  Antti Oulasvirta, Aalto: Human-centric AI

10:30                Break

10:45                Vagan Terziyan, JYU: AI under Attack: Adversarial Machine Learning (slides available at JYU AI website)

12:15                Long break

13:45                Andrei Costin, JYU: Machine learning in IoT/Embedded system security

15:15                break

15:30                Juha Röning, UO: Why NOT AI in information security

17:00                End of day

 

Wednesday 17.2.

9:00                  Joni Kämäräinen, TAU: The major open problems of computer vision – Past and present

10:30                Break

10:45                Simo Särkkä, Aalto: ML in Positioning

12:15                Long break

13:45                Jukka Heikkonen, UTU: Sensor fusion based situational awareness for autonomous ships and forest machines

15:15                break

15:30                Jukka Talvitie, TAU: ML for 5G

17:00                End of school