Algorithms and Data Structures DSBA 2026/2027: различия между версиями

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| Lecturer Assistant || colspan="6" style="text-align:center;" | [https://t.me/yankiiesss Yana Arseneva]
| Lecturer Assistant || colspan="6" style="text-align:center;" | [https://t.me/yankiiesss Yana Arseneva]
|}
|}
= Grading =
You may find [https://docs.google.com/spreadsheets/d/1PeiFEfWqn1XlL9qGyLEoYXrZZVTlliexcuZyXVyOE78/edit?gid=0#gid=0 your grades].
== Formula ==
'''Final Grade = 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.
= Home assignments =
{| class="wikitable"
! Contest !! Deadline !! Topic
|-
| || ||
|}
= Lectures =
Lectures are held on [день, время].
== Lecture Materials ==
'''[дата]'''
* [тема 1]
* [тема 2]
* [тема 3]
''Bibliography'': [источник, главы]
'''[дата]'''
* [тема 1]
* [тема 2]
''Bibliography'': [источник, главы]
== List of topics for exam ==
* [тема 1]
* [тема 2]
* [тема 3]

Версия от 12:45, 17 сентября 2026

About

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

Teachers and assistants

Group 251 252 253 254 255 256
Lecturer Nikita Makarov
Seminar Instructor Vladimir Kurenkov Anton Shnipov Anna Pronina Simon Kondakov
Teaching Assistant Leonid Pavlov Maria Sudarikova Dmitriy Gusev Anastasia Bronnikova Maria Samoylova Yana Pavlova
Lecturer Assistant Yana Arseneva

Grading

You may find your grades.

Formula

Final Grade = 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.

Home assignments

Contest Deadline Topic

Lectures

Lectures are held on [день, время].

Lecture Materials

[дата]

  • [тема 1]
  • [тема 2]
  • [тема 3]

Bibliography: [источник, главы]

[дата]

  • [тема 1]
  • [тема 2]

Bibliography: [источник, главы]

List of topics for exam

  • [тема 1]
  • [тема 2]
  • [тема 3]
Источник — https://wiki.cs.hse.ru/index.php?title=Algorithms_and_Data_Structures_DSBA_2026/2027&oldid=97664