==== Evaluation ====

  - Students can get a maximum of 100 points.
  - Up to 50 points can be obtained during the semester, another max. 50 points at the written exam.
  - A minimum of 25 points is required to pass the exam.
  - Points for the work during the semester can be obtained for:
    * Midterm test (10 points).
    * Solution of tasks assigned at tutorials (40 points). 
  - Assignments:
    * There are 4 regular assignments (5 points each) and the final assignment (15 points).
    * A delayed submission is penalized as follows: less than one week 50% penalty, more than one week 100% penalty.
    * There are other 5 short activity assignments (1 point each) that have to be submitted during the lab or on the day of lab at least.
  - Midterm test:
    * A 90 minute test with topics from the first half of the semester + the list of minimal statistical prerequisites (see Lecture 1).
      * The topics will be: statistical prerequisites, linear regression, multivariate regression, nonlinear regression, discriminant analysis and logistic regression,  generalized linear models. 
    * The test can be taken using a substitute term only in the case of a properly excused absence.
  - Necessary conditions to obtain the credit
    * At least four assignments rated more than zero points (i.e., submitted less than one week after deadline).
    * Attendance - no more than 2 missed tutorials allowed.
    * a minimum 25 points reached for tutorials and midterm test.
  - Final grade is determined according to the following table:

^ Points        ^  ECTS       ^  Grade         ^
|  100 - 90     |   A         |  excellent     |
|  89 - 80      |   B         |  very good     |
|  79 - 70      |   C         |  good          |
|  69 - 60      |   D         |  satisfactory  |
|  59 - 50      |   E         |  sufficient    |
|  49 and less  |   F         |  failed        |