Lviv Data Science Summer School

About Summer School

Lviv Data Science Summer School is an educational initiative of the Faculty of Applied Sciences of the Ukrainian Catholic University. The Summer School participants – undergraduates, Ph.D. students, young professionals – study state-of-the-art methods and tools of Data Science, and Machine Learning. The school is oriented towards the intermediate level of participants’ knowledge.

The Summer School 2019 will take place on July 22 – August 2.

Study program

The goal of the Summer School is to give the practice-oriented knowledge in the field of Data Science.

The students are involved in several elective practice-oriented courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Social Network Analysis, Urban Data Science, etc. The course study dates are July 22 – 27.

The students join the projects work. The project topics are provided by the supervisors: school’s lecturers, representatives of IT companies, and other partner organizations. The project work during several days (July 30 – August 2) means implementation and approbation of the previously obtained knowledge and skills. The project teams present their results publicly at the end of the School.

The participants can gain 4 ECTS credits after the School completion.

Course list (updating)

Please notice that due to the simultaneous scheduling of the courses, the participants should pick four courses of their interest among the listed below. With respect to the schedule (will be provided later), the course enrollment will be done after the final application results, i.e. when the participants will be registered for the school.

• Customer Analytics
• Natural Language Processing
• Machine Teaching
• Fairness and interpretability in Machine Learning
• Discrete Computation Graphs
• Applied Econometrics (Macro and Finance)
• Machine Learning for time series and sensor data
• Deep Learning for Computer Vision
• Bayesian Thinking for Applied Machine Learning
• Machine learning for financial data structures
• Conversational Design
• Introduction to Urban Data Science
• Security and Privacy of Machine Learning

Prerequisites

Eligible applicants should be familiar with basics of Statistical Inference, Machine Learning, Python programming (also R programming will be good). Detailed knowledge prerequisites together with the recommendations for the individual preparation can be found on the “Terms of service” web page under the Prerequisites section.

Lecturers

The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies teach at the Summer School.

Participation fees

The participation in the Summer School is fee-based. The participation fees are presented in the table below. The participation fee doesn’t include accommodation and meals.

• International applicants: 500 euro
• Ukrainian applicants: 13 500 UAH
• Ukrainian students: 6 500 UAH

Discounts and scholarships

School organizers provide fee discounts for:

• students from the Ukrainian universities;
• students from the German universities under the partnership with DAAD.

More information can be found on the “Discounts & scholarships” webpage.

Application process

Before applying for the summer school, one should become familiar with the terms of service, application rules, fee payment procedure, study schedule, certificate issuance, accommodation resources. Please, follow the “Terms of service” webpage to read more. By applying you agree with all these rules and terms.

Application deadline is May 1.