Institute of Computer Science
  1. Courses
  2. 2014/15 spring
  3. Data Mining (MTAT.03.183)
ET
Log in

Data Mining 2014/15 spring

  • Home
  • Lectures
    • Videos
  • Homeworks
    • Homework upload
  • Projects
  • Links
  • LaTeX

Data Mining - MTAT.03.183

Course info:

  • Lectures: Thursday 10:15, Liivi 2-405
  • Practice Sessions:
    • Monday 14:15 - 16:00 (122, Dima)
    • Wednesday 12:15 - 14:00 (122, Irene)
    • Friday 12:15 - 14:00 (402, Anna)
  • Exams: May 29th at 14.15 – 18.00 aud 405, and June 4th at 14.15 – 18.00 aud L111 (not 207!)
  • Project poster presentations: May 28th at 10.15 – 12.00

Lectures are now over

(no lecture this week - only the poster session and exams remaining)

* Please select the project topics

Poster Session photos are here!

Exam dates:

  • Friday, May 29th at 14.15 – 18.00 aud 405
  • Thursday, June 4th at 14.15 – 18.00 aud 207

Contacts:

  • Mailing list: ati.dm@lists.ut.ee
  • Quicktopic: discussion board
  • Lecturer: Jaak Vilo - vilo at ut dot ee
  • Teaching Assistants: Dmytro Fishman (dmytro@ut.ee), Anna Leontjeva (anna.leontjeva@ut.ee) and Irene Teinemaa (irheta@ut.ee)

Consultation:

  • There will be separate time slot, when students can come and ask questions, time and place will be announced soon.
  • Via mailing list (ati.dm@lists.ut.ee) or e-mail.
  • During lectures and practical sessions.

Grading and requirements

  • Attendance of practice sessions with 70% threshold.
  • Homeworks (40% of the grade): there are 12 weeks x 5 tasks = 60 tasks in total + bonuses. Resulting points are calculated as sum(points for the homeworks)–10 i.e. you will get max points by fully completing 50 tasks.
  • Project + Presentation at the poster session (20% of the grade).
  • Exam with 50% threshold (40% of the grade).

Links to previous courses:

2014
2013
2012
2011
2009

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment