Data Science for Smart Cities Summer School

Schedule and Program Overview

The AUA together with the University if Duisburg-Essen in Germany applied for and obtained from the German Academic Exchange Service (DAAD) a grant in order to organize a summer school at the AUA about practical applications of Artificial Intelligence (AI) based on Data Science (DS). Students will have the opportunity to get acquainted with theoretical background knowledge as well as having practical “hands on” experience in using programming tools for implementing AI based on DS for solving practical problems. Students will also have the opportunity to learn about possibilities of doing postgraduate studies in the Rhein-Rur region of Germany.

Because of the format of the summer school program, 25 students out of the applicants will be selected for participating, based on their motivation, background technical knowledge (mathematics and programming) and English command.

They should also attend the sessions of the CODASSCA 2022 workshop in which various researchers are going to present their latest works on AI and DS.

August 23-24:

Students attend CODASSCA 2022 workshop sessions.
Please look at https://codassca2022.aua.am/index.php/program/ for the schedule

Day 1 (Thursday, August 25th 2022):

10:00 – 11:00 Welcome, short presentation of AUA and UDE, and Goals of the summer
school (Prof. Hajian, PhD, Dean Akian College of Science and Engineering AUA; Prof.
Schiele, Head of the German-Armenian Cooperation at UDE Faculty of Engineering)
11:00 – 11:15 Students are asked to fill a questionnaire about students’ expectations and suggestions

(L. Einhaus)

11:15 – 12:15 Researching and Studying at the UA Ruhr – diversity of people and universities

(Prof. Vinck)

13:15 – 14:45 Artificial Neural Networks and Deep Learning: from single neurons to learning

systems (Prof. Keryan)

15:00 – 16:30 Lab: first steps with AI programming (Prof. Schiele, L. Einhaus)
17:00 – 19:00 Reception and “Dialogue: Studying and researching in Germany –

impressions and experiences (Baloian, DAAD Alumnus, Dr. Harutyunyan AvH Fellow)
(Moderation: Prof. Luther)

Day 2 (Friday, August 26th 2022):

09:00 – 10:30 To err is (not just) human: when AI fails (Prof. Schiele)
10:45 – 12:15 Choosing the right deep learning architecture for your task: natural language

processing and beyond (Prof. Mesgar)

13:15 – 14:45 AI in Smart Cities: Using AI via web services – an experience with OpenALPR

(Dr. Biella)

15:00 – 16:30 Lab: Image recognition (Dr. Biella)

17:00 – 18:30 Documenting two genocides: Leopold Fleischhacker, a Jewish sculptor in Nazi-
Germany – a virtual Khatchkar museum documenting expulsion and genocide (Prof.

Baloian, Prof. Luther, Dr. Biella)

Day 3 (Monday, August 29th 2022):

09:30 – 10:30 Computer Science at the UDE: an introduction (Prof. Luther, Prof. Schiele)
10:45 – 12:15 On the impact of information theory for artificial intelligence research

(Prof. Vinck)

13:15 – 14:45 Commonsence Knowledge and Reasoning (Prof. Mesgar)
15:00 – 16:30 Practicing state-of-the-art models using prompts (Prof. Mesgar, TBD)
17:00 -18:30 A look at contemporary German history with LeMO – Living Museum Online (Dr.

Biella)

Day 4 (Tuesday, August 30th 2022):

09:00 – 10:30 Funding opportunities in Germany (together with DAAD, enterprises, and German

foundations, GIZ in Yerevan, (Moderation: Prof. Vinck)
10:45 – 12:15 Uncertainty modeling in AI applications (Prof. Luther)
13:15 – 14:45 Resource optimization techniques for embedded deep learning (Prof. Schiele)
15:00 – 16:30 Lab: embedded deep learning (Prof. Schiele, L. Einhaus)
17:00 – 18:00 Uncertainty Modelling applied to Classification: predicting stroke risks and crime

(Baloian-Peñafiel)

Day 5 (Wednesday, August 31th 2022):

10:45 – 12:15 Ethics in AI (Prof. Mesgar)
13:15 – 14:45 Round table (with students, professors and Dean AUA CSE): Expectations and
opportunities of a study and internship stay in Germany (Moderation: Prof. Luther)

14:45 – 15:15 Closing, Farewell and Evaluation