Difference between revisions of "Week 2"

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'''The goal of this week''' is comprehend the main goal of your project and write about it.  
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{{#seo:
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|title=Course My first scientific paper: Week 2
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|titlemode=replace
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|keywords=My first scientific paper
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|description=Course My first scientific paper: The goal of this week is to comprehend the main goal of your project and write about it.  
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}}
  
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== Select your project (Spring 2021) ==  
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'''The goal of this week''' is to comprehend the main goal of your project and write about it.
 +
 
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== Select your project (Spring 2024) ==  
 
To select your project:
 
To select your project:
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# [http://bit.ly/m1p_2021 Look through the list of projects].
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# [https://github.com/intsystems/m1p/blob/main-2024/problem_list.md  Look through the list of projects].
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# Find information about the experts and consultants.
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<!-- # [https://github.com/intsystems/m1p/blob/main-2023/problem_list.md Look through the list of projects]. -->
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# Select your projects in [https://docs.google.com/spreadsheets/d/1g-wAjdth3yvGg9HesjBAld-c2KoIcc-AOhIk9SPUETs/edit?usp=sharing].
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# Find public information about the experts and consultants.
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# Wait for confirmation from ...
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# Select your projects during the group discussion.
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# Put confirmed topics [http://bit.ly/m1p_2021 to the Group table on Machinelearning.ru]
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# Wait for confirmation from '''the responsible professor'''
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# Write your consultant (politely).
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# Put confirmed topics [https://github.com/intsystems/m1p to the '''Group table'''].
 +
# Politely write your consultant and discuss your project.
  
 
== A: Abstract ==  
 
== A: Abstract ==  
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# the novelty (please not exaggerate),
 
# the novelty (please not exaggerate),
 
# application to illustrate with (put the results here later).
 
# application to illustrate with (put the results here later).
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<!--* For joint projects it is important that each team-member writes its own text.-->
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<!--* For joint projects, team members must write their own text separately.-->
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<!--Написать '''черновик''' аннотации. Аннотация не более 600 символов. Строится по примерному плану:
 
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* чему посвящена работа в целом,
 
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* на чем сконцентрировано исследование,
 
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* в чем особенности исследования,
 
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* [что новое предлагается],
 
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* какими примерами проиллюстрирована?-->
 
  
 
== Land your project ==
 
== Land your project ==
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# Обсудить с консультантом проект, понять цели, задачи, проблемы.
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# Discuss with your consultant the project goals and understand the problem statement.
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# Найти в организации [https://github.com/Intelligent-Systems-Phystech https://github.com/Intelligent-Systems-Phystech] репозиторий своего проекта или создать его с названием формата '''Project-N''' или через акроним проекта, [https://github.com/Intelligent-Systems-Phystech примеры].
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# Find in the organization [https://github.com/intsystems github.com/intsystems] the repository of your project or create it with the title '''Project-N''' or using the project short title, [https://github.com/Intelligent-Systems-Phystech see previous examples].
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#* Записать ссылку на репозиторий [http://bit.ly/m1p_2021 to the Group table on Machinelearning.ru в таблицу].  
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#* Put the link to your repository to the organization table using [https://github.com/intsystems/.github/blob/main/profile/repository_structure_rtfm.md#repository-for-educational-project Manual].
 +
#* Put the link to your repository [https://github.com/intsystems/m1p in the Group table],.  
 
# Create the folder structure:
 
# Create the folder structure:
 
#* docs,
 
#* docs,
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#* data,
 
#* data,
 
#* [figs].
 
#* [figs].
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# Put the direct link to the paper [http://bit.ly/m1p_2021 in the table], so that everyone could access it.
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# Put the direct link to the paper [https://github.com/intsystems/m1p in the Group table], so everyone can access it.
 
# Rename article.tex to Surname2020Title.tex
 
# Rename article.tex to Surname2020Title.tex
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# Check the both .tex and .pdf files are downloaded.
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# Check that both .tex and .pdf files of your paper are downloaded.
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# Fill the '''readme.md''' file in the github project.
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# Fill the '''readme.md''' file in the GitHub project. Use [https://github.com/Intelligent-Systems-Phystech/2021-Project-74 this example] as a template.
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# (Если проект продолжающийся) Создать личную папку в репозитории проекта, название в формате Surname2018Title.
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===Tips to your healthy repository===
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# Поместить файл (из ДЗ 1) с шаблоном статьи в личную папку, название в формате Surname2018Title.tex.
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* GitHub: clone the '''master''' and upload your contributions to it if you are working with your own code only [https://github.com/Strijov/Strijov2018-1AutomationOfResearch/raw/master/GitHubSimplest.pdf See a short guide to  GitHub].
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#* Записать ссылку на файл PDF с текстом статьи [http://bit.ly/m1p_2021 to the Group table on Machinelearning.ru в таблицу].
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# '''Update first''', Commit after (Pull first, Push after)
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#* Совет: копируйте ссылку [[Media:Repo-direct-link.pdf|как адрес кнопки Download]] файла PDF, который находится в репозитории.
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# '''Your own work only''', no external publications
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# Создать документ-черновик обзора литературы формата LinkReview, поставить на него ссылку [http://bit.ly/m1p_2021 to the Group table on Machinelearning.ru в таблицу].
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# '''No big files''' (put link to external datasets)
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# Рекомендуется кроме литературы заносить в LinkReview ссылки на источники данных, на код и библиотеки.
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# '''No temporary''' nor dummy files
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# Совет: создать групповой чат.
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Tell the difference [https://stackoverflow.com/questions/5009600/difference-between-fork-and-branch-on-github between '''branch''' and '''fork''']
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== I: Introduction ==  
 
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The introductory part includes research goals and motivations. It reasons the research with fundamental and state-of-the-arts references. It delivers the main message of the work to the reader. This message shows novelty of this work in comparison to recent results.  
 
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Write Introduction. The expected size is one page. The expected plan is:
 
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# the research goal (and its motivations),
 
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# the object of research (introduce main termini),
 
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# the problem (what is the challenge),
 
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# methodology: literature review and state-of-the-art
 
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# the project tasks,
 
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# the  proposed solution, its novelty and advantages,
 
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# the profs and cons of recent works,
 
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# goal of the experiment, set up, data sets, workflow.
 
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−
 
 
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''Important!'' Wikipedia is not the source of information, but it contains many useful sources.
 
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''Note that!'' ArXiv is not a peer-review source of information. Look for the  copies of papers that are published in peer-review scientific journals. If after one or two years after its ArXiv version, the pare did not appear in a peer-review journal, be careful to use it: this paper might be non-verified since it was rejected by the other journals.
 
  
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Also, to refine your Introduction:
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# If a big collective project continues, then create a personal folder in the project repository, title in the Surname2018Title format.
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# Create the file ''Surname2018Title.bib'' for your project.
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# Place the file with the '''article template''' in a personal folder. The name is in the Surname2018Title.tex format.
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# Move from the file ''LinkReview'' useful bibliographic records in the BibTeX format.
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#* Write a link to the PDF file with the text of the article [https://github.com/intsystems/m1p in the Group table].
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#* Check the correctness of the BibTeX database (styles of authors names, volumes of journals, page numbers).
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#* Tip. Copy the link as the URL of the Download button of the PDF file that is in the repository.
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#* Use [http://liinwww.ira.uka.de/bibliography/ bibliographic databases] to facilitate your work.
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# Create a draft document of the literature review in the LinkReview format and link it [https://github.com/intsystems/m1p in the Group table].
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#* Use the default style ''\bibliographystyle{plain}'' before the bibliography section ''\bibliography{ProjectN}''.
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# Tip. Add references to data sources, code, and libraries in LinkReview in addition to the literature.
 +
<!--# Tip. Create a group chat.-->
  
 
== L: Literature ==  
 
== L: Literature ==  
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## their students and teams,
 
## their students and teams,
 
## those, who refer to their works.
 
## those, who refer to their works.
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# Balance the list of the new and well-known works.
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# Balance the list of new and well-known works.
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# Keep up-to date the list of keywords to search with.
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# Keep up-to-date the list of keywords to search.
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# Continuously fill your LinkReview.
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# Continuously fill your LinkReview.
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# Plan Introduction (see the next todo list), namely collect:
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# Plan Introduction (see the next todo list), namely collect
 
#* keywords as the basic termini; those who brigs good search results are useful,
 
#* keywords as the basic termini; those who brigs good search results are useful,
 
#* what the paper devoted to,
 
#* what the paper devoted to,
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# The main idea. What is the message?
 
# The main idea. What is the message?
 
# The expected result. What is your delivery, your impact, novelty?
 
# The expected result. What is your delivery, your impact, novelty?
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There is no time to show a slide or draw a plot on the blackboard. It is recommended to rehearse the report. '''Week 3 starts with your talk'''.
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There is no time to show a slide or draw a plot on the blackboard. Instead,  rehearse the report. '''Week 3 starts with your talk'''.
  
  
 
== Resources ==
 
== Resources ==
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* [http://www.machinelearning.ru/wiki/images/e/e3/M1p_lect2.pdf Slides for week 2].
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===2024===
 +
*[[Media:m1p_2024_lect2_a.pdf|Slides, part a]]
 +
*[[Media:m1p_2024_lect2_b.pdf|Slides, part b]]
 +
*[[Media:m1p_2024_lect2_c.pdf|Slides, part c]]
 +
*[https://youtu.be/EduZwe4SsC8?t=10 Video]
 +
===Old version===
 +
* [http://www.machinelearning.ru/wiki/images/e/e3/M1p_lect2.pdf Slides for week 2] – [http://www.machinelearning.ru/wiki/images/1/1e/M1p2022lect2.pdf Slides 2022].
 
* [Video for week 2].
 
* [Video for week 2].
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* Bibliographic databases
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* Bibliographic database[es
 
** [http://liinwww.ira.uka.de/bibliography/ The Collection of Computer Science Bibliographies]
 
** [http://liinwww.ira.uka.de/bibliography/ The Collection of Computer Science Bibliographies]
 
** [http://en.wikipedia.org/wiki/List_of_academic_databases_and_search_engines List of academic databases and search engines in Wikipedia]
 
** [http://en.wikipedia.org/wiki/List_of_academic_databases_and_search_engines List of academic databases and search engines in Wikipedia]
 
** Refer to [http://ru.wikipedia.org/wiki/BibTeX BibTeX in Wikipedia]
 
** Refer to [http://ru.wikipedia.org/wiki/BibTeX BibTeX in Wikipedia]
 
** [http://svn.code.sf.net/p/mlalgorithms/code/Examples/ArticleReviews/%20r0_ESWA_review_report.pdf An introduction] updated after a peer-review.
 
** [http://svn.code.sf.net/p/mlalgorithms/code/Examples/ArticleReviews/%20r0_ESWA_review_report.pdf An introduction] updated after a peer-review.
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* Examples of rewiev-and-planning drafts LinkReview [https://docs.google.com/document/d/1fx7fVlmnwdTesElt-lbaHvoGEjJC5t_9e-X0ZpUzEcQ/edit?usp=sharing раз], [https://docs.google.com/document/d/1XNhnwvooJwjj5UL6lkTio0bpvRKIj2NPVNCdHDRLOLc/edit?usp=sharing два].
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* Examples of rewiev-and-planning drafts LinkReview [https://docs.google.com/document/d/1fx7fVlmnwdTesElt-lbaHvoGEjJC5t_9e-X0ZpUzEcQ/edit?usp=sharing one], [https://docs.google.com/document/d/1XNhnwvooJwjj5UL6lkTio0bpvRKIj2NPVNCdHDRLOLc/edit?usp=sharing two].
 
* [https://cs10.pikabu.ru/post_img/big/2018/07/10/4/1531199339121474094.jpg Демотиватор про Карлсона]
 
* [https://cs10.pikabu.ru/post_img/big/2018/07/10/4/1531199339121474094.jpg Демотиватор про Карлсона]
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<!--* [[Media:CommResrarchProtocol.pdf|Методические рекомендации выполнения исследовательских проектов в коммерческой фирме]].-->
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# Watch the [https://www.youtube.com/watch?v=FP3DfKxyUnk&list=PLk4h7dmY2eYE2Lp2ScMRSGDxLIbJr4vJ8&index=5 video] or [https://youtu.be/V-5EQUsPGX4?list=PLk4h7dmY2eYF2DWWi6LoByk_ZaoHWh3na&t=2034 video'21] and [http://www.machinelearning.ru/wiki/images/1/1e/M1p2022lect2 slides].
  
 +
<!-- * [[Media:CommResrarchProtocol.pdf|Методические рекомендации выполнения исследовательских проектов в коммерческой фирме]].-->
 
* [https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf How to Read a Paper, 2016, S. Keshav]
 
* [https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf How to Read a Paper, 2016, S. Keshav]
  
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===Советы по пользованию репозиторием===
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==Homework==
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* GitHub: клонируйте '''мастер''' и заливайте правки в него, если работаете только со своим кодом. [https://github.com/Strijov/Strijov2018-1AutomationOfResearch/raw/master/GitHubSimplest.pdf См. краткое руководство по работе с GitHub].
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# Select your project with your group '''before 12:00 this Saturday!'''  
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# '''Update first''', Commit after (Pull first, Push after)
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# Put your project in the [https://github.com/intsystems/m1p in the Group table].
−
# '''Your own work only''', no external publications
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# Land your project, see the section above.
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# '''No big files''' (put link to external datasets)
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# Put the links to your project [https://github.com/intsystems/m1p in the Group table].
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# '''No temporary''' nor dummy files
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# Prepare the '''letter A''', discuss it with consultant.
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Прочитать, чем '''[https://stackoverflow.com/questions/5009600/difference-between-fork-and-branch-on-github отличается branch от fork]'''
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# Put it to '''read.me''' file.
 +
# Read the literature. Put the references to the file, and prepare the '''letter L'''.
 +
# Prepare the '''letter B''', the beginner's talk.
 +
# Watch the video and sliders from the section Resources.

Latest revision as of 17:18, 23 February 2024

The goal of this week is to comprehend the main goal of your project and write about it.

Select your project (Spring 2024)

To select your project:

  1. Look through the list of projects.
  2. Find public information about the experts and consultants.
  3. Select your projects during the group discussion.
  4. Wait for confirmation from the responsible professor
  5. Put confirmed topics to the Group table.
  6. Politely write your consultant and discuss your project.

A: Abstract

Write a draft of your abstract. Think of a motivation. The abstract shall not exceed 600 characters. It may contain:

  1. wide-range field of the investigated problem,
  2. narrow problem to focus on,
  3. features and conditions of the problem,
  4. the novelty (please not exaggerate),
  5. application to illustrate with (put the results here later).

Land your project

  1. Discuss with your consultant the project goals and understand the problem statement.
  2. Find in the organization github.com/intsystems the repository of your project or create it with the title Project-N or using the project short title, see previous examples.
    • Put the link to your repository to the organization table using Manual.
    • Put the link to your repository in the Group table,.
  3. Create the folder structure:
    • docs,
    • code,
    • data,
    • [figs].
  4. Put the direct link to the paper in the Group table, so everyone can access it.
  5. Rename article.tex to Surname2020Title.tex
  6. Check that both .tex and .pdf files of your paper are downloaded.
  7. Fill the readme.md file in the GitHub project. Use this example as a template.

Tips to your healthy repository

  1. Update first, Commit after (Pull first, Push after)
  2. Your own work only, no external publications
  3. No big files (put link to external datasets)
  4. No temporary nor dummy files

Tell the difference between branch and fork

  1. If a big collective project continues, then create a personal folder in the project repository, title in the Surname2018Title format.
  2. Place the file with the article template in a personal folder. The name is in the Surname2018Title.tex format.
    • Write a link to the PDF file with the text of the article in the Group table.
    • Tip. Copy the link as the URL of the Download button of the PDF file that is in the repository.
  3. Create a draft document of the literature review in the LinkReview format and link it in the Group table.
  4. Tip. Add references to data sources, code, and libraries in LinkReview in addition to the literature.

L: Literature

We use the LinkReview draft format to share our evanescent ephemeral ideas and impressions we have during the literature reading.

  1. Collect the list of references including:
    1. state-of-the-art reviews, tutorials,
    2. fundamental solutions to the problem,
    3. the basic algorithm to solve your problem,
    4. alternative algorithms,
    5. [changes in the research directions],
    6. data sets and experiments,
    7. the papers that use these data sets
    8. applications of the results,
    9. names of researchers, who solve this problem,
    10. their students and teams,
    11. those, who refer to their works.
  2. Balance the list of new and well-known works.
  3. Keep up-to-date the list of keywords to search.
  4. Continuously fill your LinkReview.
  5. Plan Introduction (see the next todo list), namely collect
    • keywords as the basic termini; those who brigs good search results are useful,
    • what the paper devoted to,
    • the investigated problem,
    • the central idea,
    • literature review,
    • the authors' contribution.

B: Beginner's-talk

Short 45-second introductory talk. Plan of the talk:

  1. The project goal. What is the motivation, the goal to reach?
  2. The main idea. What is the message?
  3. The expected result. What is your delivery, your impact, novelty?

There is no time to show a slide or draw a plot on the blackboard. Instead, rehearse the report. Week 3 starts with your talk.


Resources

2024

Old version

  1. Watch the video or video'21 and slides.

Homework

  1. Select your project with your group before 12:00 this Saturday!
  2. Put your project in the in the Group table.
  3. Land your project, see the section above.
  4. Put the links to your project in the Group table.
  5. Prepare the letter A, discuss it with consultant.
  6. Put it to read.me file.
  7. Read the literature. Put the references to the file, and prepare the letter L.
  8. Prepare the letter B, the beginner's talk.
  9. Watch the video and sliders from the section Resources.
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