Wiki - Факультет компьютерных наук - Вклад [ru]

Introduction to Data Culture

2018-01-23T13:20:18Z

Ilbuyukliyski: /* Communication */

= Materials =
Your grades [https://docs.google.com/spreadsheets/d/17nYiU8i4As18yvBleRoNNwD3aOXUd5-_9epJ-oNSFXU/edit?usp=sharing here].
{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata !! Bonus tasks worth
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum] || 10
|-
| 2 || --- || --- || [https://drive.google.com/uc?export=download&id=1UmCPu-JjalzI6e4xZdr41vkm_9AAiNJZ Practice2.xlsx] || [https://docs.google.com/document/d/1AWsMvSmBkDTDW3MCOGl4La513KeR5GjACxd4vGwTm5w/edit?usp=sharing Practice2 Errartum] || 10
|-
|}

= Communication =
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

Also, please name your tasks in this format: '''Practice#PracticeNumber#_#Group number#_#Inside group number#_#Names of participants#''', where inside group number is the number of the group in which you work on the seminar.

For example: Practice1_BMOL171_3_IvanovPetrovSidorov

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule !! Telegram channel
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422 || [https://t.me/joinchat/A9Y3Z0dqC8xIB5nuECRnSg here]
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [https://t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422 || [https://t.me/joinchat/DUaTBxEFW65yt1teko-JFw here]
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422 || [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA here]
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422 || [https://t.me/joinchat/GitvvRFziv9W3tfDkJWh8g here]
|-
|}

=== Feedback ===
This is the first time this course is taught - we’ll much appreciate if you help us make it better by telling your ideas and suggestions. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

= О курсе =

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

= Rules =

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents to the student's office (учебный офис). Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

= MS Excel =
The official and supported version of Microsoft Excel for this course is 2016. It is readily available to HSE students - just login (and possibly register with your @edu.hse.ru email) on the [https://products.office.com/ru-ru/student/office-in-education website]. In case you have trouble downloading, there is a [https://goo.gl/J1fFKx manual].

Introduction to Data Culture

2018-01-23T13:20:01Z

Ilbuyukliyski: /* Communication */

= Materials =
Your grades [https://docs.google.com/spreadsheets/d/17nYiU8i4As18yvBleRoNNwD3aOXUd5-_9epJ-oNSFXU/edit?usp=sharing here].
{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata !! Bonus tasks worth
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum] || 10
|-
| 2 || --- || --- || [https://drive.google.com/uc?export=download&id=1UmCPu-JjalzI6e4xZdr41vkm_9AAiNJZ Practice2.xlsx] || [https://docs.google.com/document/d/1AWsMvSmBkDTDW3MCOGl4La513KeR5GjACxd4vGwTm5w/edit?usp=sharing Practice2 Errartum] || 10
|-
|}

= Communication =
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

Also, please name your tasks in this format: '''Practice#PracticeNumber#_#Group number#_#Inside group number#_#Names of participants#''', where inside group number is the number of the group in which you work on the seminar

For example: Practice1_BMOL171_3_IvanovPetrovSidorov

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule !! Telegram channel
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422 || [https://t.me/joinchat/A9Y3Z0dqC8xIB5nuECRnSg here]
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [https://t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422 || [https://t.me/joinchat/DUaTBxEFW65yt1teko-JFw here]
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422 || [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA here]
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422 || [https://t.me/joinchat/GitvvRFziv9W3tfDkJWh8g here]
|-
|}

=== Feedback ===
This is the first time this course is taught - we’ll much appreciate if you help us make it better by telling your ideas and suggestions. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

= О курсе =

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

= Rules =

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents to the student's office (учебный офис). Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

= MS Excel =
The official and supported version of Microsoft Excel for this course is 2016. It is readily available to HSE students - just login (and possibly register with your @edu.hse.ru email) on the [https://products.office.com/ru-ru/student/office-in-education website]. In case you have trouble downloading, there is a [https://goo.gl/J1fFKx manual].

Introduction to Data Culture

2018-01-13T19:04:01Z

Ilbuyukliyski: /* Materials */

= Materials =
Your grades [https://docs.google.com/spreadsheets/d/17nYiU8i4As18yvBleRoNNwD3aOXUd5-_9epJ-oNSFXU/edit?usp=sharing here].
{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

= Communication =
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule !! Telegram channel
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422 ||
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [https://t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422 ||
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422 || [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA here]
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422 ||
|-
|}

=== Feedback ===
This is the first time this course is taught - we’ll much appreciate if you help us make it better by telling your ideas and suggestions. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

= О курсе =

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

= Rules =

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents to the student's office (учебный офис). Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

= MS Excel =
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

Introduction to Data Culture

2018-01-11T18:43:02Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

= Communication =
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule !! Telegram channel
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422 ||
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [https://t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422 ||
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422 || [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA here]
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422 ||
|-
|}

= О курсе =

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

= Rules =

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T17:22:42Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [https://t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422
|-
|}

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T17:22:20Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], [t.me/anastasiyamaxx telegram] || Thursday, 9.00, 422
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram] || Thursday, 12.10, 422
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422
|-
|}

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T17:21:13Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], telegram: @anastasiyamaxx || Thursday, 9.00, 422
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], [https://t.me/buyukliyski telegram]: @buyukliyski || Thursday, 12.10, 422
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422
|-
|}

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T17:15:22Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], telegram: @anastasiyamaxx || Thursday, 9.00, 422
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], telegram: @buyukliyski || Thursday, 12.10, 422
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422
|-
|}

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T17:13:55Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

{| class="wikitable"
|-
! Group!! Teacher !! Teaching assistant!! Schedule
|-
| БМОЛ171 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email] || Thursday, 10.30, 422
|-
| БМОЛ172 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email], telegram: @anastasiyamaxx || Thursday, 9.00, 422
|-
| БМОЛ173 || [https://www.hse.ru/en/staff/kazeev Nikita Kazeev],[mailto:nkazeev@hse.ru email] || Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], telegram: @buyukliyski || Thursday, 12.10, 422
|-
| БМОЛ174 || Elena Kantonistova, [mailto:elena.kantonistova@yandex.ru email] || Alexander Stolnikov, [mailto:89175518126a@gmail.com email] || Thursday, 13.40, 422
|-
|}

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T16:45:31Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

Teaching assistants:
* БМОЛ171 - Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email]
* БМОЛ172 - Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email]
* БМОЛ173 - Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], telegram: @buyukliyski (https://t.me/buyukliyski)
* БМОЛ174 - Alexander Stolnikov, [mailto:89175518126a@gmail.com email]

Teachers:
* [mailto:dderkach@hse.ru Denis Derkach]
* [mailto:elena.kantonistova@yandex.ru Elena Kantonistova]
* [mailto:nkazeev@hse.ru Nikita Kazeev]

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.

Introduction to Data Culture

2018-01-11T16:45:09Z

Ilbuyukliyski: /* Communication */

= Materials =

{| class="wikitable"
|-
! № !! Тема лекции !! лекция !! семинар !! Errata
|-
| 1 || Введение || [https://www.dropbox.com/s/e3htzsc5qjvsnrz/Lecture1.pdf?dl=0 Lecture1.pdf] || [https://hseru-my.sharepoint.com/personal/nkazeev_hse_ru/_layouts/15/guestaccess.aspx?docid=081b894ee33504e9b9969c676ed70bbb5&authkey=AXW-7TiY5YcAZdmlTsXOwUg&e=gnfl6c Practice1.xlsx] Note: the bonus tasks are worth additional 10 points || [https://docs.google.com/document/d/1L8B5wQ4l1DDcJ_Yo-2n-wQZGvVNQdfJcaT5x4ZxTKQk/edit?usp=sharing Practice1 Erratum]
|-

|}

== О курсе ==

Курс читается для студентов 1-го года обучения бакалаврской программы «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Международные отношения"»

Лекции читает Деркач Денис

Семинары ведут:
Кантонистова Елена
Казеев Никита

== Grading ==
Except from the [https://www.hse.ru/data/2017/12/27/1170681455/program-1787867585-OIA0flYOMI.pdf general course description]:

Final assessment = 0.8*Ongoing Assessment + 0.2*Examination Assessment,

Ongoing Assessment = 0.3*Tests + 0.5*Homework + 0.2*Midterm Examination

Tests - grade you get for the in-class seminars. During each seminar there will be an assignment worth 10 points (with possible bonuses).

Tests = min(10, sum_of_your_grades_for_seminars/number_of_seminars)

The two homework assignments will be announced separately. Those will be mini-projects requiring a bit of thinking and creativity.

== Deadlines ==
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.

Homeworks will have deadlines when announced.

== Communication ==
All the course materials, assignments, deadlines will be published on [http://wiki.cs.hse.ru/Introduction_to_Data_Culture this very wiki].

All the practical announcements concerning the whole course (such as lecture cancellation) will appear in the [https://t.me/Data_Culture Telegram channel].

We’ll create a separate Telegram channel for each group with practical announcements:
* [https://t.me/joinchat/AAAAAErv9jQIqolYa6SuBA Telegram channel for БМОЛ173]

There is a [https://t.me/joinchat/DEuP0kYCBQ3UI_-10CqKaA Telegram group] for general discussion - please feel free to discuss the course materials there, we’ll create a mailing list.

Please send the assignments and questions to your teaching assistant.

The preferred way to contact the us is by email.

Letter subject format (We'd appreciate a lot if you stick to it, as it makes managing correspondence a lot easier):
* Question - GroupNumber - Surname Name
* Practice {number of the seminar} - GroupNumber - Surname Name

Teaching assistants (more contacts will be added):
* БМОЛ171 - Ilya Abroskin, [mailto:dc.ir.hse@gmail.com email]
* БМОЛ172 - Anastasiya Maksimovskaya, [mailto:dataculture2018@gmail.com email]
* БМОЛ173 - Ivan Buyukliyski, [mailto:data.culture173@gmail.com email], telegram: @buyukliyski (https://t.me/buyukliyski)
* БМОЛ174 - Alexander Stolnikov, [mailto:89175518126a@gmail.com email]

Teachers:
* [mailto:dderkach@hse.ru Denis Derkach]
* [mailto:elena.kantonistova@yandex.ru Elena Kantonistova]
* [mailto:nkazeev@hse.ru Nikita Kazeev]

== Attendance ==
You can attend as frequently as you want - as far as we are concerned. There are two caveats though:
* You are responsible for catching up with the material and timely submission of all the assignments. We reserve the right to respond “RTFM” to questions from people who missed the corresponding class for no good reason.
* HSE bureaucracy has asked us to submit the roll-call of each seminar - they might apply some punishment for truancy.

== Force majeure ==
We use the standard HSE rules to determine what counts as a force majeure - illness and stuff. If you encounter one, please email the practice teacher ASAP and then provide the proof documents when you next attend the class. Your deadlines will be correspondingly extended, and help with missed material will be offered.

== Fast lane ==
If you find yourself offended by a proposition to do data analysis in Excel because you are a Tensorflow contributor, or for any other reason you already know everything this course has to offer - please come forward. Prove yourself a competent data scientist (something line achieving a reasonable place on a Kaggle competition, and passing an oral examination - the precise way will be negotiated and publicized). You’ll get a full grade on Ongoing Assessment and a free pass on all the ongoing assignments in exchange for attending the practical lessons in the role of teaching assistant - helping you classmates and answering their questions.

== Hail Mary ==
If by the end of the course you find yourself with not enough Ongoing Assessment credits to earn a passing grade, there will be a way to make it up with a few extra assignments, for up to the lowest “Satisfactory”. There will be deadlines, they’ll be announced. Please don’t let the situation to deteriorate to that.

Retaking the final exam is governed by the standard HSE rules.

== Cheating and honor ==
You must abide by the [[https://docs.google.com/document/d/1y4JHIdxCriFIrSHO1ZmeWi9Tjx01o4umqnoFxQtVSrI/edit?usp=sharing Honor Code]].

Please don’t cheat - the rumor has it HSE has quite severe penalties.

To avoid being accused of plagiarism in “grey cases” please disclose with whom and how you have collaborated on each assignment outside of the assigned group. This way the worst thing that can happen to you after a good faith mistake is being asked to do a different variant of the task in question, with no disciplinary penalty and no notification of the HSE bureaucracy.

== MS Excel ==
Online Excel is readily available to HSE students - just login (and possibly register) on the [https://products.office.com/ru-RU/ website]. However Online Excel is quite slow and has limited functionality. You are advised to install and use a local version - which again [https://products.office.com/ru-ru/student/office-in-education might be provided] to the HSE students.

== Feedback ==
This is the first time this course is taught - we’ll much appreciate if you help us make it better. If you prefer anonymous feedback, there is a [https://docs.google.com/forms/d/e/1FAIpQLSdHN4Ajh4es2tEaMXlaHf3RTfgH4jiQJSUGU2HaudTdudam0A/viewform form] for it.

== Rules status ==
We did our best to lay out what’s expected from students in the Data Culture course and don’t expect to make substantial alteration to this document. However, should a loophole arise and be abused, we reserve the right to alter the rules. This of course will be announced on the course channel.