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General_info.md

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General information about the course

Course organization

  • Mondays: lecture, where the new theory is presented (with occasional paper-based exercises)
  • Tuesdays: practicum, where the theory is put into practice (hands-on, working individually)
  • Wednesdays: lab, dedicated time to working on the obligatory assignments (working in teams)

Bring your own device

  • Practicums (Tue) and labs (Wed) are computer-based
  • Bring your own laptop!

Getting help

  • Wednesdays are dedicated to working on the assignments. This is the time for asking technical questions and getting help.
  • Over email: [email protected]
    • Should you get an answer, and have further inquiries, please keep [email protected] among the receivers (e.g., by responding to all).
  • Before/after the lectures and in the breaks
  • No drop-ins unannounced! Make an appointment in email!

Assignments

  • There are three obligatory assignments throughout the semester
    • Binary assessment (approved or not)
    • All 3 must be approved to be allowed to take the exam
  • Work in teams of 2-3
    • It's OK to work alone (it'll be a lot of work!)
    • Can change teams for each assignment
  • Weekly checkpoints
  • Hard deadlines
    • No extensions, no exceptions
  • The best performing teams may be rewarded with extra points for the exam

Books

  • Search Engines: Information Retrieval in Practice (Croft, Metzler, Strohman), Pearson, 2010.
  • Introduction to Data Mining 
(Tan, Steinbach, Kumar), Pearson, 2006.
    • Chapters: 1-5, 8

Exam

  • Digital exam
  • Open-book, all printed/written material is allowed
  • Exam date: TBA