Topic outline

  • Information and Syllabus

    Welcome to the course! 

    Please take a look at the course Syllabus (updated 21.10.2022) to find important information regarding course content, structure, assessment, etc. All study materials except the course books will be provided as needed and made available on the pages found in the sidebar. Also, please check the course schedule in syllabus or at the respective modules pages.

    All lectures and tutorials are pre-recorded and uploaded every Mon each week. You are free to watch at any time.

    There will be on-campus introductory session, Tue, 25.10.2022 16.30-18.30, Room T2-C105, Computer Science building (Konemiehentie 2). Other Q&A session will be held online via zoom. Link is given below.

    Zoom live session is only for Q&A: https://aalto.zoom.us/j/69442844707 every Tuesday (16:30-18:30). We encourage everyone to join the session and be interactive with teachers. Please, come to the beginning of the session - if there are no students or questions, the session is ended earlier.

    • Schedule for the course

    • File icon
      Syllabus (last update 21.10.2022) File
      PDF document

      Please, check this course syllabus file for the modules description and the timetable.

    • Contacts

      Professor: Pekka Malo, D.Sc. (quant. methods), M.Sc. (math)

      Assistant 1:       Iaroslav Kriuchkov, M.Sc. (Management/CEMS)
      • Email: iaroslav.kriuchkov(at)aalto.fi
        • Theory-related questions in Module 2
        • Questions about tutorial, assignment and grading in Module 1-3
        • Questions about enrolment
        • Practical arrangements of the course
        • Please write to me in English
        • Use the subject DSBquery in your email

      Assistant 2: Lina Siltala-Li, M.Sc. (tech)
      • Email: lina.siltala-li(at)aalto.fi
        • Questions about tutorial, assignment and grading in Module 4-5
        • Please write to me in English
        • Use the subject DSBquery in your email

    • Learn R, Python & Data Science Online | DataCamp

      This course is supported by DataCamp, a great learning platform where you can learn R, Python and SQL through a combination of short expert videos and hands-on-the-keyboard exercises. We have arranged a Classroom license for all DSFB II students that will grant you access to DataCamp's premium content for 6 months starting from October 25. Some DataCamp courses will be mandatory assignments in DSFB II, but we encourage all students to use this chance and explore also more advanced courses. 

    • Forum icon
      Announcements Forum
    • Choice icon
      On-campus lectures for modules 4 and 5 Choice
      Not available unless:
      • You are a(n) Student
      • It is before 10 November 2022, 7:00 PM

      As the hardest modules approach, we are wondering whether you are interested in live on-campus lectures for Module 4 (Survival analysis) and/or Module 5 (Deep Learning). If we have about 25 participants, we will try to find some time slot (not Tuesday 16:30-18:30, most likely some other evening) 

      In the questionnaire, please, select suitable options (multiple answers are allowed)

      Please, vote until Friday, Nov 11, 12:00