For the fourth year, the institutes located at the University of Tartu Delta Centre – Institute of Computer Science, School of Economics and Business Administration and Institute of Mathematics and Statistics – are organising a joint career day to offer companies the opportunity to meet students from different disciplines under one roof.
The event will take place as a fair and enables the organisations to present their internship and career opportunities, using information materials in various formats (banners, videos, brochures, etc.) or interactive activities to engage students. Each organisation has an area of 3x3m that can be designed to reflect its brand. In addition, organisations can introduce themselves in the lounge area with a short presentation, which will also be live broadcasted.
Due to the severity of the current epidemiological situation, the Delta centre entrances are closed. The building can only be accessed by employees and people with the according access card. The building will be re-opened once the situation has been alleviated and the rectorate has made an official decision.
The University of Tartu Institute of Computer Science announces the IT Student Project Contest.
The project submitted has to be in the field of IT. It can be practical or theoretical research or implementation project. It may be associated with any course or be a completely new and personal initiative—for example, a project from a course, educational resource, public software, a start-up idea, etc
Participation is open to undergraduate (BSc) and graduate (MSc) students of the University of Tartu regardless of the curriculum in teams of one or up to five. A project can have one supervisor.
Projects will be evaluated in three categories:
*In the Bachelor’s and Master’s categories, at least ⅔ of the authors (except the supervisor) have to be students of the appropriate level. In the first-year Bachelor’s category, all authors must be first-year Bachelor students.
The deadline for submitting the project in courses.cs.ut.ee is May 23 (including). To participate you must upload your:
High-Performance Computing (HPC) is the application of “supercomputers” to computational problems that are either too large for standard computers or would take too long to solve. HPC is a pervasive tool for both academia and industry. “Today, to Out-Compute is to Out-Compete” best describes the role of HPC. This seminar brings together HPC users, administrators and visionaries. Researchers will talk about their experiences with using HPC in their daily work. In addition, the administrator of Tartu HPC center will introduce the backstage of managing large amounts of data. As a dessert, we will take a closer look at the new supercomputer LUMI, which will launch in 2021, to take computing performance to a new unprecedented level.
Speakers and presentations:
Research groups of the University of Tartu led by Professor of Mathematical Statistics Krista Fischer and Professor of Bioinformatics Jaak Vilo who have supported the state with the data collection and analysis since the beginning of the corona crisis can continue their work thanks to a private donation by entrepreneur Väino Kaldoja.
When the corona crisis started in spring, researchers of the University of Tartu Jaak Vilo and Krista Fischer quickly mobilised more than a dozen people to gather information about the virus, analyse data and build prediction models. Surveys and the development of data analysis solutions started on koroona.ut.ee. The prompt start of research and development helped to define national risk scenarios for assessing the spread of the virus.
In spring, when the Estonian Research Council started to gather information about what researchers could do to solve the corona crisis, the first data analysis solutions by the University of Tartu researchers had already been approved by the ethics committee and introduced. At the beginning of July, when the Estonian Research Council opened the call for grant applications for one-year development projects funded from the target grants action, also the working groups of Fischer and Vilo submitted their applications. Regrettably, it was recently announced that neither grant application was funded. Discontinuing the research would have brought about a major gap in advising the state and a risk that the work started in spring would fall through.
However, many entrepreneurs also started to provide their advice and support to the state already at the beginning of the corona crisis. Now, an experienced entrepreneur Väino Kaldoja decided to lend his support to research, supporting the work of the research groups led by Fischer and Vilo with a total of 60,000 euros. The donation helps Fischer’s research group to continue creating the framework for modelling the spread of COVID-19 and assess the impact of intervention measures and Vilo’s research group to continue developing the koroona.ut.ee platform and data analysis solutions to better assess the spread of the virus and forecast the impact of measures.
If you know how to use it, data science could be the key to every company’s success. Data science and artificial intelligence are having profound impact on business by helping companies to improve their bottom line, retain customers, address compliance requirements, etc. Virtually every industry and every business process is being transformed by the rapid developments of data science, and because data has many business uses, companies are increasingly creating dedicated roles for data scientists.
The seminar will showcase actual case studies on how data science has been applied in Estonia and elsewhere, as well as what are the opportunities for the managers and specialists of different companies to learn how data science can be used for business improvement.
• Markus Lippus (MindTitan): Delivering on 85% of your AI projects
• Kalev Koppel (STACC): Hired or fired by AI
• Marlon Dumas (UniTartuCS): Process mining in action
• Jaak Vilo (UniTartuCS): Supply chain for data scientists
• Elena Sügis (UniTartuCS): Data science 101 for your business
Information about upcoming seminars and recordings from previous seminars are available here: http://bit.ly/3kZIlH3
Venue: Watch the event via Worksup
Date: January 27th 2021
Time: 10:30 – 18:00
Language: English and Estonian
Delta X 2021 is a novel competition formed by the University of Tartu and the city of Tartu, which aims to promote solutions based viewpoint and encourage students to challenge themselves. In the Delta X final, the best teams will be determined in four competition categories: robotics, digital solutions, business models and mathematics. The best teams will be awarded with cash prizes or, with professional mentoring to make the ideas come true.
I place Age of Gods
II place DipWookie
III place True Ranomness
Autonomous drone challenge
I place The Drone
II place Cowboy Bebop
III place No Imagination
I place DeltaQR
II place Delta visualisatsiooni projekt
III place Blazingly fast and typo tolerant search engine
I place Biometric Access Control System Using ID Card
II place Face recognition
I place StringArt
II place Brain Data Visualization
III place SwingFinity ja Image Reproducing with Genetic Algorithm
I koht Team 1
II koht Team 3
III koht Team 2
I place Siinus- ja koosinusteoreemide videoseeria
II place Simpsoni paradoksi video
III place CorDartboard
The jury did not give out prize places in this category.
I place Iselagunevad hauaküünlad
II place Pillbox
III place VELUM
Recognitions: Konnekt, Print on demand
I place CommuniCare
II place Sorterman
III place E-MO and ÕF Futuruum
Recognitions: Infinder, LearNet, Workstud
The special prize was not given out due to the fact that no registered solutions did not meet the set conditions.
In the robotics competition, teams from robot basketball and autonomous drone challenge will be competing.
Lunch break: 13.00 – 14.00
The schedule for autonomous drone challenge:
10.00 – 11.00 Cowboy Bebop
11.00 – 12.00 No Imagination
12.00 – 13.00 Juuksur
14.00 – 15.00 The Drone
15.00 – 16.00 Me and My 4
16.00 – 17.00 Safax
14.00 – 14.07 Introduction
14.07 – 14.12 Greeting from Professor Alvo Aabloo
14.12 – 14.20 Announcing the recipient of Eno Tõnisson´s stipend and the best works of Delta Photo Contest, Professor Jaak Vilo
Smart solutions in the University of Tartu Delta Centre
Blazingly fast and typo tolerant search engine
Delta visualatsiooni projekt
Audio or video processing: webcam and/or microphone-based real-time Solutions
eID hackathon: new solutions for the Estonian electronic identity ecosystem
Biometric Access Control System Using ID Card
Art in science: how to see art in mathematics, data science, and other fields of science?
Brain Data Visualization
Glyptics Portrait Generator
Image Reproducing with Genetic Algorithm
Genetic Algorithms for Evolutionary Art
14.20 – 14.40 Higher mathematics with visual aids
14.40 – 15.00 CorDartboard
15.00 – 15.20 Siinus- ja koosinusteoreemide videoseeria
15.20 – 15.40 Simpsoni paradoksi video
15.40 – 16.00 Log-regressiooni mudel
16.20 – 16.40 parse.json
Kõrgkooli sisseastumise konsultatsioon
Platvorm tudengite erialaste teadmiste rakendamiseks
New start-up ideas:
Print on demand e-platvorm
Spordipsühholoogilise funktsiooniga treeningpäevik
The COVID-19 outbreak took all countries by storm, information was scarce and contradictory. Estonian data-driven response emerged bottom-up by some of the best data scientists around.
At the seminar, you will hear about the efforts of modelling the growth rate of infections and predicting the threats for hospitalisation numbers, intensive care units and deaths, as well as the efforts to develop new data acquisition platforms, which included voluntary surveys and representative sampling strategies. For clinical health data, the Estonian data needs to be analysed, but would be small and limited without international context. However, the biggest obstacle in international clinical real-world data research is the difficulty to compare data from different countries, regions, EHR systems, and medical practices of data capture.
For overcoming such obstacles, international standardisation efforts for data and tools are necessary. You will hear about the OHDSI community, which builds OMOP common data model and associated tools. The ecosystem of such data is reaching hundreds of millions of patient records worldwide that can be included in studies.
Finally, the future management of the continuing crisis, targeting new infections and their connections early in the process, is still needed. For that, the numerous contact tracing apps have emerged, including the Estonian HOIA.me. You have a chance to hear about the principles of these apps, their timeline, and the current state.
We hope that the topics raise interest and questions. This is the first time such a group of experts is directly presenting to the public the scientific basis and overall effort by data scientists in Estonia.
17:00 Jaak Vilo (University of Tartu): Welcome & introduction
17:05 Krista Fischer (University of Tartu, Estonian Genome Centre): “Nowcasting and forecasting of COVID-19 in Estonia: experiences from spring 2020”
17:30 Hedi Peterson (University of Tartu): “COVID-19 and us. Let the data speak.”
17:55 Raivo Kolde (University of Tartu): “Creating (inter)national COVID-19 evidence base through health data standardisation”
18:20 Dan Bogdanov (Cybernetica, HOIA.me): “COVID-19 contact tracing apps in Estonia and abroad”
18:45 Panel discussion
Information and recordings from previous seminars are available: https://www.cs.ut.ee/…/industry…/data-science-seminars
Autonomous driving technologies hold the promise to transform the society in large. This is manifested by the venture capital piling on autonomous driving startups. Recently, many of these companies have experienced backlash though, as bringing those technologies on streets has turned out to be harder than anticipated. In this seminar, we are going to take a closer look at the challenges these companies are facing and what are the promising research directions to look into. With autonomous driving research labs now in Tartu and Tallinn, and companies like Starship Technologies, Milrem Robotics, Cleveron, and others, the field is getting traction in Estonia, moving towards the goal of having Estonia as the global test-bed for self-driving vehicles.
16:45-17:00 Gathering & welcome coffee
17:00-17:15 Introduction by the moderator, Tambet Matiisen (Autonomous Driving Lab of University of Tartu)
17:15-17:40 Naveed Muhammad (University of Tartu Institute of Computer Science): Autonomous driving – past, present and future
17:40-18:05 Martin Appo (Cleveron): Cleveron’s journey towards driverless delivery vehicle
18:05-18:30 Coffee break & networking
18:30-18:55 Sergii Kharagorgiiev (Starship Technologies): Computer vision for obstacle avoidance in the wild
18:55-19:20 Alex Kendall (Wayve): Creating an artificial driving intelligence
The seminar will be held in English. Very limited amount of seats available.
Participation is free of charge, but registration is required. NB! Marking yourself as “Going” on Facebook does not count as registration. Register here: https://forms.gle/dFJwTv661VQJu4b98
Location: University of Tartu Delta Centre (Narva mnt 18, Tartu) – 1st floor, room 1037
Information and recordings from previous seminars are available: https://www.cs.ut.ee/…/industry…/data-science-seminars
Rapid advances in data science and artificial intelligence have opened numerous avenues for optimizing business operations. Virtually every industry and every business process is being transformed by these rapid developments. This seminar will showcase case studies and experiences on the use of data science and AI to increase customer engagement, improve customer experience, and enhance efficiency and quality, across various industries.
The seminar will cover two complementary perspectives: the problem-driven perspective and the solution-driven perspective. Along the first perspective, we will discuss how a given data science method can be applied to tackle certain classes of business optimization problems, like applying process mining to discover root-causes of delays, or using recommender systems to improve customer engagement. Along the second perspective, we will discuss how to tackle a given business optimization problem (e.g. increasing sales without increasing capacity) using one or more data science methods.
16:45 Gathering & welcome coffee
17:00 Introduction by the moderator
17:05 Marlon Dumas (University of Tartu) – Data science and AI for business process improvement
17:40 Markus Lippus (MindTitan) – The unexpected use cases for a machine that can listen
18:10 Coffee break
18:30 Sven Laur (STACC) – Health insurance analytics: A case study at the Estonian Health Insurance Fund
18:55 Lauri Antalainen (CoreGrow) – Optimizing production processes: how can data science help?
19:15 Panel discussion
Participation is free of charge, but registration is needed. NB! Marking yourself as “Going” on Facebook does not count as registration. Register here: https://forms.gle/GfRcZjLWr2HrsrFm6
The seminar will be held in English. Limited amount of seats available. Information and recordings from previous seminars are available: https://www.cs.ut.ee/…/industry…/data-science-seminars
This event is supported by the University of Tartu ASTRA project PER ASPERA Doctoral School of Information and Communication Technologies
Welcome to the Delta Community
Students and researchers can contact the institutes located in Delta through the University of Tartu website https://www.ut.ee/en. Partners can find suitable contacts at the Delta contacts link below.
University of Tartu Delta Centre
Studies and Research Building
Narva mnt 18 / 51009 Tartu / ESTONIA
Open every day 07.30 am – 08.00 pm
Delta Café is open Monday to Friday 11 pm – 5 pm.
firstname.lastname@example.org; +372 5302 8944
Reception Desk (only technical information):
+372 737 6363; + 372 5331 4670
Parking for guests is available at the UT Sports Hall or Ujula Coop parking lots.