Institute of Computer Science
  1. Courses
  2. 2017/18 fall
  3. Data Mining (MTAT.03.183)
ET
Log in

Data Mining 2017/18 fall

  • Home
  • Lectures
  • Homeworks
  • Projects
  • R Tutorial

Weekly homeworks

Deadline is 10.00 every Monday before the lecture!

  • Homework submission: Gradescope
  • Grades: Gradescope
  • Homework and practice session information
  • About plagiarism
  • Submission rules

HW01. Introduction. Deadline: Sunday, Sept 17, 23:59

HW02. First look at the data. Deadline: Sunday, Sept 24, 23:59

HW03. Computational statistics. Deadline: Sunday, Oct 8, 23:59

HW04. Frequent pattern mining. Deadline: Monday, Oct 16, 10:00

Bonus task on Tableau. Deadline: Monday, Oct 23, 10:00

HW05. Machine learning I. Deadline: Monday, Oct 30, 10:00

HW06. Machine learning II. Deadline: Monday, Nov 6, 10:00

HW07. Machine learning III. Deadline: Monday, Nov 13, 10:00

HW08. Machine learning IV. Deadline: Monday, Nov 20, 10:00

HW09. Clustering. Deadline: Monday, Nov 27, 10:00

HW10. Mining supermarket shopping baskets. Deadline: Monday, Dec 4, 10:00

HW11. First steps of the project. Deadline: Monday, Dec 11, 10:00

  • 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