Algorithms and Data Structures DSBA 2024/25

About

This page contains basic information for the course Algorithms and Data Structures in 2024/2025 academic year at Bachelor’s Programme in Data Science and Business Analytics (DSBA).

The full syllabus can be accessed at this page.

In case you find any inconsistencies on this page, please, contact @l_AnnaPronina_l.

Teachers and assistants

Group	231	232	233	234
Lecturer	Nikita Makarov
Seminar Instructor	Andrey Borevskiy	Andrey Borevskiy	Vladimir Kurenkov	Vladimir Kurenkov
Teaching Assistant	Isa Gadaev tg: @elohimapproximation	TBA	TBA	TBA
Head TA	Pronina Anna tg: @l_AnnaPronina_l

Lectures

Lectures are held on Saturdays from 14:40 till 17:40.

Lecture Materials

Sep 7

Grading

Final Grade = M1 * 0.3 + M4 * 0.7

Mi = E * 0.4 + HW * 0.2 + Q * 0.2 + S * 0.2

• E - exam grade: rational number [0, 10] = sum of the grade for the oral and written parts, out of 5 each
• HW - homework grade: rational number [0, 10]
• Q - lecture quizzes grade: rational number [0, 10]
• S - seminar practice grade: rational number [0, 10]

rounding: each element in the formulae is rounded up

Plagiarism policy

If plagiarism is detected, the assessment element will be assigned a score of 0.

If the student is suspected of preparing the task not on his own, the teacher has the right to initiate additional verification or defense of this particular assessment element. Then such an assessment element will be graded based on the additional verification or the defense.

Retake policy

On the first retake the cumulative course grade is taken into consideration. On the second retake there are following rules: - If the cumulative grade + 2nd retake grade >= 4, then the student receives the sum of these marks, multiplied by their coefficients. - If the cumulative grade + 2nd retake grade < 4, but the 2nd retake grade > 7, then the student is given a 4. - If the 2nd retake grade is <7 and the cumulative grade is <4, the student receives a failing grade.