The sessions will take place in the lecture room B120 of the Exactum building (Pietari Kalmin katu 5, Helsinki) on Thursdays at 10:15-12 during the Spring 2019 semester.

  • 17 January: Introduction to the course and introductory lecture [slides]
  • 24 January: No session (lecturer will be available in B120 at 10:15 in case someone wants to ask questions about project topics or other parts of the course)
  • 7 February: Pitch talks
  • 14 March: Student presentations
    • M. Lange: Finding gravitational waves [report]
    • A. Björklund: How to do fast simulations with deep learning [report]
  • 21 March: Student presentations
    • A. Rusanen: Testing and Reporting Significance in Data Science [report]
    • T. Koivisto: Efficient Analysis Pipelines [report]
  • 28 March: Student presentations
    • J. Sulo: Data Cleaning and Feature Engineering [report]
    • K. Nordling: Problems with using complex supervised learning models
  • 4 April: Student presentations
    • K. Aula: Peeking into black boxes - Explaining decisions of supervised learning methods [report]
    • J. Tiira: Automatic classifier for enhancing atmospheric data analysis [report]
  • 11 April: Student presentations
    • P. Fung: Calibration of measurements (e.g., atmospheric measurements) [report]
    • M. Yli-Heikkilä: Data Science Languages [report]
  • 2 May: Student presentations
    • G. Hasan: Exploration and visualization tool for analysing big data from a large measurements [report]

The reading list and draft reports as well as the opponents are available for the students from Moodle. The final reports will be published in this page.