Topic outline

  • General

    Welcome to the CS-C3250 Data Science Project course in autumn 2023!

    The responsible teacher of the course is senior university lecturer Jorma Laaksonen <jorma.laaksonen@aalto.fi> 050 3058719 TG: @jormalaaksonen Aalto CS room B326

    Teaching assistants:

    • Hieu Nguyen, TG: @pop1_231
    • Merlin Sauer, TG: @wizardorsomething
    • Ville Mäyrä, TG: @villemayra
    • Jalil Radman, TG: @Jalil_2023

    Schedule:

    Lectures on Mondays at 12:15–14:00 in T6:

    • 4.9. Jorma Laaksonen: Introduction
    • 11.9. Jorma Laaksonen: Python tools and libraries
    • 18.9. Saku Suuriniemi: Data science cases & observations
    • 25.9. Rachhek Shrestha & Seth Peters: Real-life data science
    • 2.10. Andreas Helenius: Privacy & ethics
    • 9.10. Groups' status presentations


    Group meetings on Thursdays at 12:15–14:00 in T4 / U409 / U360b / U360a

    • 7.9. Kick-off with company representatives
    • 14.9. Progress monitoring with TAs
    • 21.9. Progress monitoring with TAs
    • 28.9. 1st check-up with company representatives
    • 5. 10. Progress monitoring with TAs
    • 12.10. Progress monitoring with TAs
    • 26.10. 2nd check-up with company representatives
    • 2.11. Progress monitoring with TAs
    • 9.11. Progress monitoring with TAs
    • 16.11. Progress monitoring with TAs

    Site visits to companies and group presentations:

    • Mon 20.11. 12:15-14:00 Futurice & Group 1 – Kansakoulukatu 3, next to Kamppi metro station
    • Thu  23.11. 12:15-14:00 Reaktor & Group 2 – Yliopistonkatu 4, next to Helsingin yliopisto metro station
    • Wed 29.11. 12:15-14:00 OP & Group 3 – Gebhardinaukio 1, 500 m from Sörnäinen metro station
    • Mon   4.12. 12:15-14:00 Droppe & Group 4 – Lapinlahdenkatu 16, Maria 01, tram 8 from Ruoholahti metro station

    Submission deadlines:

    • Reading task #1 11.9., 18.9., 25.9., 2.10.
    • Reading task #2 18.9.
    • Final report 30.11. (draft version)
    • Final report   7.12. (final version)