List courses

Lviv Data Science Summer School lasts two weeks and includes two types of courses: short and long. School participants will have the opportunity to enroll in up to 6 ECTS credits. Сourses can be divided as follows:

• Short course

The short course is a course consisting of two online lectures of 80-90 minutes each and having an additional Q&A session of  30 minutes. Short courses do not include homework tasks.

• Long course

The long course is a course consisting of four online lectures of 80-90 minutes each and having an additional Q&A session of 30 minutes. Teachers of long courses provide an opportunity to take homework tasks, which participants of the summer school can complete. Completed homework is checked by the teacher of course. If the task is completed successfully the participant will get 1 ECTS credit for the relevant course. This opportunity (homework check) is paid extra.

Short courses:

• Keynote: The crossroads of AI fairness accountability and transparency in the industry, healthcare, education, and government
• Deep Learning in Neuroscience
• Unraveling the machinery of life: computational challenges in structural bioinformatics
• Introduction to Natural Language Generation
• Practical aspects of causal inference
• Introduction to Deep Reinforcement Learning
• Using Neural Networks for Modeling and Representing Natural Language

Long courses:

• Recommender Systems: the Fundamentals, 1 ECTC
• Game Theory and Applications, 1 ECTC
• ML for Financial Data Structures, 1 ECTC
• How to tell a Stairway to heaven from a Highway to hell: working with music as a data scientist, 1 ECTC
• Machine Learning specificities in Healthcare, 1 ECTC
• Customer Analytics, 1 ECTC