Introduction to Data Culture 2019-2020
Your grades are here
|№||Topic||Slides||Tutorial and Assignment||Additional Materials|
|1||Introduction to Data Science||Slides1||Practice1||Rules for plotting graphs|
|4||Text Functions and Pivot Tables||-||Practice4|
First two homeworks are considered to be made individually. Later, you can work on the practice assignments in teams, you are free to choose and organise. Teams can contain two or three people.
All course materials, assignments, deadlines will be published on very wiki.
All practical announcements concerning the whole course (such as lecture cancellation) will appear on the Telegram channel https://t.me/joinchat/Du3HEUStPxVGVwnEvkzokw
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 during the seminar.
For example: Practice1_BMOL181_Ivanov
|BMOL191||Marina Ananyeva Email Telegram||Egor Chernousov||Thursday 09:00 - 10:20|
|BMOL192||Marina Ananyeva||Valeriya Rusina Email Telegram||Thursday 10:30 - 11:50|
|BMOL193||Marina Ananyeva||Liana Gainutdinova Email Telegram||Monday 09:00 - 10:20|
|BMOL194||Marina Ananyeva||Polina Semenova Email Telegram||Tuesday 09:00 - 10:20|
|BMOL195||Ilya Abroskin Email Telegram||Andrey Chernikov Email Telegram||Monday 13:40-15:00|
|BMOL196||Ilya Abroskin Email Telegram||Andrey Chernikov Email Telegram||Monday 12:10-13:30|
|BMOL197||Elena Kantonistova||Mikhail Belkin Telegram||Monday 10:30-11:50|
|BMOL198||Elena Kantonistova||Mikhail Belkin Telegram||Monday 09:00-10:20|
Links for submitting homework
|Group||HW 1||HW 2||HW 3||HW 4||HW 5-6||HW 7||Exam|
|BMOL192||link 1||link 2||link 3||link4||link 5-6||link 7||exam|
|BMOL193||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
|BMOL194||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
|BMOL195||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
|BMOL196||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
|BMOL197||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
|BMOL198||link 1||link 2||link 3||link 4||link 5-6||link 7||exam|
We’ll much appreciate if you help us to make it better by telling your ideas and suggestions. You are free to do it!
Anonymous feedback form: click_here
About the course
The course is for students of Bachelor’s Programme 'HSE and University of London Parallel Degree Programme in International Relations'.
Your seminar teachers are: Elena Kantonistova and Marina Ananyeva.
Final Grade = 0.5*(Homework + Extra Points*) + 0.2*Control Work + 0.3*Examination Assessment
- In the beginning of each seminar students are asked to perform tests to check knowledge based on the materials of previous seminars. Each 100% correctly completed test provides the student with extra points that go towards ongoing assessment.
You must submit each seminar assignment by the beginning of the next one - otherwise you get 0 for it.
It is better to attend all lectures to be aware of your material. However, 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.
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.
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.
If by the end of the course you find yourself with 5 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 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.
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.
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 website. In case you have trouble downloading, there is a manual.