The Lecture and Discussion will consist of three strands:

1. Statistics: Probability and Chance, Measurement and Scales, Descriptive and Inference Statistics, Randomisation and Experimental Design, Dependent and Independent Samples, Gaussian Distribution, Null Hypothesis, Correlation and Regression, Non-Parametric Statistics, etc. Examples will be calculated.

2. Systems: Definitions, Elements of Systems, Types of Systems, Automata, Markov Processes, Feedback Systems, Complex Systems, Chaotic Systems, Systems Analysis and Systems Simulation, Types of Models, etc. Chapters from books and/or papers with applications of systems research will be presented by students and discussed. Note: A repetition of some school mathematics may be required before starting the Systems strand.

3. Artificial Intelligence:
     1. Half-day visit to an AI research institute (OFAI) with, first, introduction and overview by group leaders plus discussions and then opportunity of individual Q/A with appr. 15 researchers present at their workplaces.

     2. Applications and potential impacts of AI. Chapters from books and/or papers with applications of AI or potential impacts will be presented by students and discussed. Note: If AI methods are used in this material which could not be presented in the Fall Term due to scarcity of time, they will be explained in advance.

Materials:

Tegmark, M. (2017): Life 3.0. Being human in the age of Artificial Intelligence. Penguin Random House, UK.

Trappl, R. (2013): Your Virtual Butler. The Making-of. Springer Verlag, Berlin, Heidelberg.

Trappl, R. (2015): A Construction Manual for Robots' Ethical Systems. Requirements, Methods, Implementations. Springer International Publishing, Switzerland.

Trappl, R. (2016): Ethical Systems for Self-Driving Cars. In: Applied Artificial Intelligence, Volume 30, Number 8, pp. 745-823. Taylor & Francis, Philadelphia.

West, G. (2017): Scale. The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies. Penguin Press, New York.

The grade will depend on the quality and clarity of the presentation(s) and the contributions to the discussions during the semester (60%) and the result of the written exam at the end of the semester (40%).
Attendance at the lecture is not mandatory but highly recommended!

Presentation:  

Please prepare a presentation of approximately 15min but not longer than 18min about application(s) of AI or (potential) impacts of AI. You will find attached 3 summary pages from the book of Max Tegmark „Life 3.0“ as potential inspiration but please feel free to take any other source. To support your presentation you can use powerpoint, fotos, videos, overhead transparencies, songs, etc. or nothing, just your wonderful plain voice.  I don’t need any written version of your presentation, the presentation suffices!  

We have 3 hours (= 2 hours 15min) VOD on Mon 28 May (13:46 – 16:15) and 3 hours on Mon 18 June (13:45 –  16:15). Note: This second VOD is followed by a written exam with 3 questions (16:15 – 17:00).  

Please mail the proposed title of your presentation and when you would like to give it (May or June) to robert.trappl@ofai.at with the subject „CDS“. If you don’t hear from me, all is ok. If I get too many time-preferences for one of the two dates, I will let you know that I had to transfer you to the other date. And if I dislike your topic – very unlikely but may happen – I’ll let you know too.   Please send this mail to me not later than by 18 May.

https://base.uni-ak.ac.at/cloud/index.php/s/YTGnHYEYclYEr5Z

Thank you and enjoy/good luck!

Lecture Materials Statistics:

https://base.uni-ak.ac.at/cloud/index.php/s/MJW3LnDD4vTWb8T

Students from other study programs or other universities are welcome provided the room capacity permits.