13.2.2017 - 12.5.2017 - Spring Semester Classes
13.2.2017 - 12.5.2017 - Spring Semester Classes
26.4.2017 - Rector's Day
Johannes Fürnkranz – Inductive Rule Learning – CANCELLED (due to illness)
Registration for courses is open from 25th November till 19 December 2016.
All courses are elective, for 3 ECTS. Registration is possible only via InSIS.
There is mandatory class participation for registered students.
Classes will be held Monday 23th January to Wednesday 25th January 2017 8:30 AM – 4 PM (in classrooms RB 337, NB 458, NB 457, SB 109). On Monday 23th January the classes begin at 9am.
On Thursday 26th January there is the International Day – 10:00 AM to 1:30 PM in classroom RB 213. All guest professors will give short introductory lectures.
Deadline for the written analysis/ projects/ essays is by 29th January (Sunday).
Stephan Proksch is Mediator, Management Consultant and Trainer. He is Partner of Trialogis OG (www.trialogis.at) and coordinator of the mediation course of Incite of the Austrian Chamber of Commerce (WKO). His specialization is mediation and business mediation, organizational development and team building.
He obtained a business degree from Wirschaftsuniversität Wien and a PhD degree from IFF in Vienna (Organizational development) . He is author of the book Conflict Management (Springer International Publishing, Switzerland 2016).
Course in InSIS – 4EK 611, classroom – NB 457
The course covers the basics of conflict management and mediation in organizations. The participants will distinguish the most important methods and find out how to apply them adequately. Additionally they will learn how to act appropriately in conflict situations.
Proksch, Stephan: Conflict Management. Springer International Publishing, Switzerland 2016.
CANCELLED (due to illness)
Johannes Fürnkranz is Professor for Knowledge Engineering at TU Darmstadt. He has studied at the Technical University Vienna, the University of Chicago, and at Carnegie Mellon University. His research interests are in machine learning and data mining, in particular in preference learning, rule learning, multi-label classification, and their applications to game playing, web mining and the social sciences. He is a frequent member of program committees of relevant conferences, was co-chair of ECML/PKDD 2006, ICML 2010, and Discovery Science 2013, and serves as an action editor of “Machine Learning” and the editor-in-chief of the journal “Data Mining and Knowledge Discovery”.
Course in InSIS – 4IZ 570, classroom – NB 458
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining,
because they offer the best tradeoff between human and machine understandability.
This course will present algorithms for automated rule learning and discovery as investigated in classical machine learning and modern data mining.
Most of the course will follow the book “Foundations of Rule Learning”, that appeared in Springer-Verlag in early 2012.
Associate Professor RNDr. Ing. Peter Molnár PhD. is originally from Slovakia. He obtained a masters degree in physics from Charles University, Prague and masters degree in finance from University of Economics, Prague. Afterwards he moved to Norway. He obtained a PhD degree from Norwegian School of Economics, Bergen, Norway. Subsequently he worked at Norwegian University of Science and Technology, Trondheim, Norway and is currently employed at University of Stavanger, Norway.
Course in InSIS – 4ST 640, classroom – SB 109
This course covers empirical and quantitative analyses of financial and commodity markets. With financial markets we mean stocks, currency, and bond markets. With commodity markets we mean energy, metals and agricultural markets.
Through the course, the students are expected to develop competence in conducting their own empirical analyses of asset prices. The course will consist of standard lecturing and practical exercises, interfacing econometric methods and theories and topics from finance and commodity market economics.
Alexander C., 2008, Market Risk Analysis – 4-volume set, Wiley. Lectures will be based mainly on Volume II, but obtaining this book is not necessary.
Paolo Lacchè is a Product Management leader with over 13 years of global experience. He has studied Product Management at the Haas School of Business, Berkeley, California and served as a Senior PM for industry leading organizations such as Hewlett-Packard, Microsoft and Skype, managing products used by millions of users worldwide and generating millions of dollars in revenue. Today Paolo Lacchè serves as business consultant for the main tech companies , as well as acting as mentor and advisor for several startup accelerators.
Course in InSIS – 4IT 470, classroom – RB 338
Understand the theory of what is product management and what are the best practice and go through real industry examples and see how these practices are applied and what challenges they present. Look at the startup world and understand how innovation and new products see the light.