The Coordinating Committee of the MSc Program in "Data Science and Information Technologies", in its meeting of July 24, 2020, compiled the following list of admitted students and runner-ups, for the academic year 2020-21. 1st direction: Big Data and Artificial Intelligence ADMITTED (alphabetical) Anagnostopoulos Theodoros Bizimis Michail Dimakopoulos Nikolaos Dragonas Theodosios Kalimeris Alexandros Karampasis Ilias- Stylianos Katsogiannis-Meimarakis Georgios Kokkinakos Panagiotis Mitsopoulou Anna Neamonitis Evangelos Oikonomou Dimitrios Papadakis Antonios Pipilis Georgios Siampou Maria Despoina Spyrou Aris Stais Valerios Tritsarolis Andreas Tsapelas Christos Xydas Michail Zerntev Alexandros RUNNER-UPS (in order) 1. Dokianakis Michail 2. Troulitaki Petrina 3. Maniatis Nikolaos 4. Rempoulaki Anastasia 5. Kavvada Anna-Aikaterini 6. Tassias Panagiotis 7. Misios Ioannis 8. Kotzastratis Stylianos 9. Ouzounidis Georgios 10. Gkoutis Georgios 11. Reppas Dimitrios 12. Xagorari Aikaterini 13. Karamanidis Dimitrios 14. Gkatsis Vasileios 15. Borovilou Christina 2nd direction: Bioinformatics - Biomedical Data Science ADMITTED (alphabetical) Anastasiou Eftychia Anastasiou Georgios Andrianopoulou Christina Chrysoula Theodora Diamantopoulos Marios-Ioannis Filis Georgios Garoufi Nefeli Kalos Vasileios Katopodi Xanthi-Lida Kollias Angelos Koutsouridis Aristotelis Lasponikou Antigoni Pantoulas Stefanos Roussaki Aikaterini Rouvalis Georgios Sfrintzeri Konstantina Synacheri Anna-Chloi Tsamkosoglou Konstantinos Vozi Aspasia Zhu Yishu RUNNER-UPS (in order) 1. Pari Christina 2. Mamoulidis Paris 3. Karpouzis Ioannis All admitted candidates must declare whether they accept or decline their position, by Friday 31/07/2020, by sending an e-mail to email@example.com (Mrs. K. Kanavou), in order for the Program to inform runner-ups on any vacant positions. Courses start on October 1st, 2020. The precise course schedule and the dates of registration to the Program will be announced in September on the Program's website. Admitted students that have not submitted their C1-level English proficiency certificate must present it at registration. Students with a weak informatics background may have to pass one or two corresponding undergraduate course(s), and shall be informed accordingly. Athens, 24/07/2020
2nd Call for applications for the academic year 2020-2021 – Deadline extension to Sunday July 5 , 2020
The Department of Informatics & Telecommunications of the National and Kapodistrian University of Athens, in collaboration with the “ATHENA” Research Center, and the Biomedical Research Foundation of the Academy of Athens, invites applications for admission to the MSc Program “Data and Information Technologies” (DSIT), offering two specializations:
- Big Data and Artificial Intelligence
- Bioinformatics – Biomedical Data Science
The overall program and all coursework are expected to evolve as in previous years respecting, of
course, any health measures that may become necessary.
All coursework and lectures are in English. The goal of the program, now in its 3rd year, is to provide top-quality education in Informatics, Data Science, Artificial Intelligence, Machine Learning, Bioinformatics and Computational Biology. The two specializations have been designed according to international standards in order to meet the needs of the European academia and job market.
The program admits up to 20 students per specialization. The duration of studies is 3 academic semesters (90 ECTS), including one for the completion of an MSc Thesis (30 ECTS). The fees are € 900 / semester. For further information see our website http://dsit.di.uoa.gr/. The program is coordinated by Professor I. Emiris (U. Athens, and ATHENA RC).
Αpplications shall be submitted entirely online at pplications shall be submitted entirely online at https://pgs.di.uoa.gr/outer/, with recommendation letters sent directly by referees to: firstname.lastname@example.org. The new application deadline is on Sunday, July 5, 2020.
First degree (BSc) holders in Computer Science, Mathematics, Applied Math, Engineering, Biology, Medicine, and related subjects from Greek or foreign Universities are welcome to apply. Graduates of non-Greek institutions should consult the Hellenic NARIC organization (http://www.doatap.gr/en/) regarding degree recognition.
Further information, including application form, list of supporting documents, rules and regulations (describing the curriculum and the selection procedure) are available at: http://dsit.di.uoa.gr/. For more information you may contact the program’s secretary, at +30-210-7275337 or at email@example.com.
DATA SCIENCE & INFORMATION TECHNOLOGIES / Spring 2019-20
ALL COURSES start in the week of Monday 17 February 2020
(except for “Time-series analysis” that starts on a later date)
Day / Time / Room
|M115||Image analysis and processing||CO1-2||Κatsouros (Athena), Kalatzis (UWA) – Mon. 11-14, Z|
|M412||Internet of Things||CO1-EL2||Hadjiefthimiadis, Kolomvatsos (NKUA) – Thu. 14:30-17:30, E|
|Μ149||Database Systems||CO1-EL2||Koutrika (Athena) – Wedn. 16-19, Γ|
|Μ111||Big Data management||CO1-EL2||Ntoulas (NKUA) – Mon. 17-20, A2|
|Μ103||Algorithms in structural bioinformatics||CO2||Emiris (NKUA), Chrysina (NHRF) – Mon. 14-17, Γ|
|Μ410||Machine Learning in
|CO2-EL1||Μanolakos (NKUA) – Tue. 14-17, Δ|
|Μ403||Algorithms in Molecular Biology||CO2-EL1||Dalamagas (Athena) – Thu. 18-21, DIT Linux Lab|
|Μ415||Computer Vision||EL1||Avrithis (INRIA), Κatsouros (Athena) – Mon. 14-17, E|
|Μ460||Special topics: Data Visualization||EL1-2||Roussou (NKUA) – Thu. 18-21, Δ|
|Μ407||Applications to Neuroscience||EL1-2||Ouzounoglou (NTUA) – Thu 15-18, DIT Linux Lab /
Vekrellis (BRFAA) – Thu. 14:30-17:30, BRFAA
|Μ421||Time series analysis and applications||EL1-2||Kofidis (U. Piraeus) – Tue 18-21, Room TBD|
Dates: June 15 – 19, 2020
Venue: Lipschitz Lecture Hall, Mathematics Center, Endenicher Allee 60, Bonn, Germany
Organizers: Anne Driemel (University of Bonn), Melanie Schmidt (University of Cologne)
• Ken Clarkson (IBM Research, US)
• Ioannis Emiris (University of Athens, Greece)
• Robert Krauthgamer (Weizmann Institute, Israel)
• David Mount (University of Maryland, US)
• Jeff Phillips (University of Utah, US)
• Ruth Urner (York Uniersity, Canada)
In this Hausdorff school we study algorithmic aspects of foundational methods
to learn and generalise from data. While the nexus is algorithmic, this area of
research is a rich and vibrant field within theoretical computer science which
draws from deep connections to statistics, geometry, and combinatorics.
This Hausdorff School is intended for motivated graduate or postdoctoral
students of mathematics or computer science. Leading experts discuss geometric
and probabilistic approximation techniques and their connections to learning
theory. Each invited speaker gives a mini-course spanning three lectures
ranging from introductory material to advanced topics and current research.
Further information can be found on the website:
Limited financial support is available. The deadline for applications is 29th
March 2020. Applicants will be notified in April. Late applications may be
considered until the summer school is fully booked.
Μ164 Knowledge Technologies, Κουμπαράκης Τρίτη 11/2, 15.15 έως 18.15, ΕΚΠΑ
Μ161 Big Data Analytics, Γουνόπουλος, Παρασκευή 31/1, 15.15 έως 18.15, ΕΚΠΑ
Μ401 Deep Neural Networks, Παπαγεωργίου -Κολοβού, Παρασκευή 14/2, 18.00 έως 20.00, ΕΚΠΑ
Μ124 Μachine Learning, Περαντώνης, Δευτέρα 10/2, 18.30-21.30, ΕΚΠΑ
Μ416 Biology- Αναστασιάδου, Παρασκευή 14/2, 11.00-14.00, ΙΒΕΑΑ, Αίθουσα Γ1
M417 Introduction to Biotechnology, Τσάγκαρης- Αναγνωστόπουλος- Γεωργίου, Τετάρτη, 5/2, 14.00 έως 17.00, ΙΒΕΑΑ
Μ420 Molecular modeling of biomolecules, Κούρνια, 29/1, 10.00 έως 12.00, ΙΙΒΕΑΑ, Αίθουσα Τηλεδιασκέψεων