Просмотр исходного текста страницы Introduction to Data Culture

= Materials =
Your grades are [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
|-
| 3 || Интернет и Этика || [https://www.dropbox.com/s/1cbr246tcnh9t98/Lecture2.pdf?dl=0] || [https://drive.google.com/uc?export=download&id=1h4BAg2ozPDfMfcDHxc_W1ykJS0_4t4Ux Practice3.xlsx] || [https://docs.google.com/document/d/1JxOuS9VHzl5BioR_0y5nw2swZYN844_zivkwH7egk6s/edit?usp=sharing Practice3 Errartum] || 5 + 15 (competition)
|-
| 4 || --- || --- || [https://drive.google.com/file/d/12s8MkcF3_u4jQXrFphd39HlPqDUm9ige/view?usp=sharing Practice4.xlsx] || || 10
|-
| 5 || Временные ряды ||  [https://www.dropbox.com/s/p4p6zuixjt0be4s/Lecture3.pdf?dl=0] || in-class assessment || || TBA 
|-
| 6 ||  - || - || - || || TBA 
|-
| 7 || Регрессии ||  [https://www.dropbox.com/s/6sugmxyli22iwht/Lecture4.pdf?dl=0] || - || || TBA 
|-
| 8 ||  ||  || - || || TBA 
|-
| 9 || Гипотезы ||  [https://www.dropbox.com/s/wmxerqdse1tgpoi/Lecture5.pdf?dl=0] || - || || TBA 
|-
| 10 ||  ||  || - || || TBA 
|-
| 11 || Статистики ||  [https://www.dropbox.com/s/ck7yyl9ungdekaf/Lecture6.pdf?dl=0] || - || || TBA 
|-
|}

== Hometask I ==
[https://docs.google.com/document/d/1qx_9Nsuv1IeRl0K237Dy_VbRlC_K42AfE4kLbq0K8d0/edit?usp=sharing Statement] deadline is 23:59 15.04.2018 MSK.

= Mid-term =

Find the examinaion essay topics here: [https://www.dropbox.com/s/vam5z23ww5i8s3w/DC_%20colloquium.pdf?dl=0]

= Teamwork =
Unless specified otherwise, you can work on the practice assignments in teams. Teams can't contain more than five people.

= 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#_#Team number#_#Names of participants#''', where the Team number is the number of the team 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 и Казеев Никита

= Rules =

== Grading ==
Note: the criteria has been relaxed with the respect to 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 = 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 extended by the duration of the illness, and help with the missed material will be offered. Also since you won't be working in a team, you need to complete only half of the obligatory tasks to get a 10, and half of the bonus tasks to get the full grade for the bonus tasks.

== 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 9 non-zero grades for tests, but 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].