Open Innovations Framework Program FRUCT

Academia-to-Industry Competence Incubator

Open Innovations Association FRUCT

(Finnish-Russian University Cooperation in Telecommunications)

English

Русский

Upcoming Events

Event	Dates
30th FRUCT	27.10 - 29.10
IDEA workshop 2021	27.10 - 28.10
AMICT workshop 2021	28.10 - 29.10
3rd DataWorld workshop	28.10 - 29.10
31st FRUCT	27.04 - 29.04
AMICT workshop 2022	28.04 - 29.04
4th DataWorld	28.04 - 29.04

Tag Cloud

You are here

30.10.2017: Machine Learning Coffee seminar "Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayes Approach"

30.10.2017 09:15–10:00 HIIT seminar Exactum D122, Kumpula Guido Consonni, Professor of Statistics, Universita Cattolica del Sacro Cuore Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayes Approach

27.10.2017: Retention in Introductory Programming

27.10.2017 12:00–15:00 Defence of thesis Forest House, Hall 6, Unioninkatu 40

18.10.2017: Teaching demonstration for Assistant Professor/Associate Professor/Professor position in computer science (Distributed systems and networking with emphasis on Internet of Things (IoT))

18.10.2017 12:00–13:00 Lecture Exactum C123 "Introduction to the Internet of Things"

18.10.2017: Teaching demonstration for Assistant Professor/Associate Professor/Professor position in computer science (Distributed systems and networking with emphasis on Internet of Things (IoT))

18.10.2017 11:00–12:00 Lecture Exactum C123 "Introduction to the Internet of Things"

18.10.2017: Teaching demonstration for Assistant Professor/Associate Professor/Professor position in computer science (Algorithms and machine learning)

18.10.2017 10:00–11:00 Lecture Exactum C123 "The teaching demonstration is within the general area of algorithms and machine learning. The choice of topic and the level of presentation roughly aimes at first-year master's students within this area."

16.10.2017: Machine Learning Coffee seminar "Probabilistic Preference Learning With The Mallows Rank Model"

16.10.2017 09:15–10:00 HIIT seminar Exactum D122, Kumpula Elja Arjas, Professor Emeritus of Mathematics and Statistics, University of Helsinki Probabilistic Preference Learning With The Mallows Rank Model

09.10.2017: Machine Learning Coffee seminar

09.10.2017 09:15–10:00 HIIT seminar Konemiehentie 2, seminar room T5 Daniel Simpson, Professor of Stastical Sciences, University of Toronto

02.10.2017: Machine Learning Coffee seminar "Machine learning for materials research"

02.10.2017 09:15–10:00 HIIT seminar Exactum D122, Kumpula Flyura Djurabekova, Department of Physics, University of Helsinki Probabilistic Preference Learning With The Mallows Rank Model

13.11.2017: Machine Learning Coffee seminar "Learning of Ultra High-Dimensional Potts Models for Bacterial Population Genomics"

13.11.2017 09:15–10:00 HIIT seminar Exactum D122, Kumpula Jukka Corander, Professor of Statistics, University of Helsinki and University of Oslo Learning of Ultra High-Dimensional Potts Models for Bacterial Population Genomics

17.11.2017: Computer Science Colloquium

17.11.2017 14:15–15:45 Seminar Exactum CK112, Gustaf Hällströmin katu 2b Computer Science Colloquium is a seminar course at Master's Programme in Computer Science, but everyone interested in research and thesis topics in computer science is warmly welcome to attend the events. Program:

Pages