Discrete Mathematics 2 DSBA 2026/2027

About

This page contains basic information for the course Discrete Mathematics 2 in 2026/2027 academic year at HSE Bachelor’s Programme in Data Science and Business Analytics (DSBA).

Smart LMS

All information, announcements, materials will be published in [here will be the link Smart LMS]

We will try to duplicate information from Smart LMS to TG Course Channel whenever possible.

Professors and assistants

The lecturer of the course in 2026 fall term is Boris Radislavovich Danilov (brdanilov@gmail.com).

Office hours

Office hours are posted in Smart LMS every week. Each teacher must be notified in advance that you want to come during office hours!!!

Grading

Final Grade

Grade <Final grade> for the course is determined by the formula:

<Final grade> = MIN(X, round(0.16 * <HW> + 0.2 * <QZ> + 0.29 * <CO> + 0.35 * <EX>)),

where:

• X=9 if student have defended from 3 to 5 bonus tasks from homework assignments to any seminarian of our course (not necessarily a seminarian of the student's group), X=10 if student have defended at least 6 bonus tasks from homework assignments to any seminarian of our course (not necessarily a seminarian of the student's group).
• <HW> - Homework assignments
• <QZ> - Quizzes
• <CO> - Colloquium
• <EX> - Examination control work

Automatic pass

If <AU> by the formula below is greater or equal to 5.0 then by automatic pass <Final grade> equals to <AU>:

<AU> = truncate(MIN(X, (0.16 * <HW> + 0.2 * <QZ> + 0.29 * <CO>)/0.65)),

where:

• truncate cuts off the decimal part without regard to the number's value (special rounding rules are NOT applied)
• X=9 if student have defended from 3 to 5 bonus tasks to any seminarian of our course (not necessarily a seminarian of the student's group), X=10 if student have defended at least 6 bonus tasks to any seminarian of our course (not necessarily a seminarian of the student's group).

Decision to apply for automatic pass must be made by the student prior to taking the exam.

Plagiarism rules

If plagiarism is detected (including material generated with the help of generative AI without prior approval from the teacher), the assessment element will be assigned a score of "0".
If there is a suspicion that the task was not completed independently, the teacher has the right to initiate an additional verification or a defense of this particular assessment element. The final grade for the element will be based on the results of such verification or defense.
The teacher also reserves the right to randomly invite any student to defend any assessment element, regardless of plagiarism or suspicion. If the student refuses or fails to defend the work, the grade for this element will be annulled and recorded as "0".