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 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).

Seminar instructors

Group	251	252	253	254	255	256
Teachers	Boris Danilov	Igor Savitskii	Carlos Buitrago		Alyona Chislova

Office hours

Office hours are posted in Smart LMS every week. Each teacher must be notified in advance (the day before) 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

Rounding rules:

Arithmetic rounding works for students with attendance between 30% and 70%. For students with attendance less than 30% a number X with fractional part below or equal to 0.7 is rounded "below" (to the highest integer non exceeding X). For students with attendance greater than 70% a number Y with fractional part above or equal to 0.3 is rounded "above" (to the smallest integer greater than Y). Rounding in the formula means rounding to the nearest integer, tie-values are rounded up.

Automatic pass

If student's attendance is greater than 60% and <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".