این فقط یک کارگاه دیگر برای گیت و گیت‌هاب نیست!

در حال حاضر دوره‌های گیت و گیت‌هاب فراوانی به زبان‌های فارسی و انگلیسی در دسترس هستند. بیشتر این دوره‌ها توسط برنامه‌نویسان حرفه‌ای و با هدف آموزش به برنامه‌نویسان تازه‌کار تهیه شده و حاوی مطالب زیادی هستند که ممکن است برای پژوهشگران در حوزه‌های علمی و تحقیقاتی دیگر ضروری نباشند.

تفاوت دوره حاضر در ارائه آن توسط یک پژوهشگر حرفه‌ای در حوزه فیزیک ذرات بنیادی است که در دوره دکترای خود در پژوهشگاه دانش‌های بنیادی بر روی داده‌های آزمایشگاه CERN کار کرده و قصد دارد ابزار پژوهش‌های خود را قدم به قدم در یک مجموعه از دوره‌ها به دانشجویان و پژوهشگران علاقه‌مند آموزش دهد.

دوره مقدماتی گیت و گیت‌هاب برای پژوهشگران در همه رشته‌های علمی که با کدهای نرم‌افزارهای مختلف سر و کار دارند مفید است.

در این دوره عملی آنلاین با راهنمایی مستقیم مدرس و انجام فعالیت‌ها و تمرین‌های مناسب، می‌توانید استفاده از گیت و گیت‌هاب را به شکل بهینه و بدون صرف زمان اضافی برای استفاده در پروژه‌های تحقیقاتی علمی خود فرا بگیرید.

@scischool

MIT 6.S191 Introduction to Deep Learning

MIT's official introductory course on deep learning methods with applications in robotics, and more!

http://introtodeeplearning.com/

💉 https://www.nature.com/articles/d41586-021-00316-4

Tardigrade circus and a tree of life — January’s best science images

https://www.nature.com/immersive/d41586-021-00095-y/index.html

Jeroen is currently writing the second edition of Data Science at the Command Line, which is scheduled to be published by O’Reilly Media in October 2021. You’re welcome to follow along and even participate on GitHub.

Read online for free:
https://www.datascienceatthecommandline.com/2e/

An article for preteens and teens on modeling the spread of diseases

"Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases"


https://kids.frontiersin.org/article/10.3389/frym.2020.577741

In February:
🦠Physics of viral dynamics
🕸️Network geometry
💶Economic complexity theory and applications
💴Foundations of complexity economics
📈Fast economic indicators
🦹Complexity science approach to economic crime

https://t.co/LWWGnAHo8z

Scientists still debate whether millions of cheap, fast diagnostic kits will help control the pandemic.

Here’s why. https://t.co/bqCoS97jbE

Economics lessons: what physicists can learn from economists

https://www.nature.com/articles/s42254-021-00281-x

✅ پروژه‌های پژوهشی تابستانی برای دانشجویان در فنلاند

#دیگر_خبرها

دانشگاه آالتو فنلاند برنامه پژوهشی تابستانی مفصلی دارد. با توجه به سابقه خوب دانشجویان ایرانی متقاضی شرکت در این برنامه، دکتر David Randell مسوول این برنامه، خواستار معرفی این برنامه توسط بخش بین‌الملل انجمن فیزیک ایران شده است. جهت اطلاعات بیشتر لطفا به آدرس‌های زیر مراجعه نمایید: الف: ۴۷ موقعیت ...

📣 متن کامل را در Instant View ⚡️ (دکمه پایین صفحه) و یا در وب‌گاه انجمن فیزیک ایران بخوانید:
🚩http://www.psi.ir/اخبار_3281_پروژه_های_پژوهشی_تابستانی_برای_دانشجویان_در_فنلاند

⏪ وب‌گاه انجمن فیزیک ایران:
🌍 http://www.psi.ir

✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
http://t.me/psinews

Statistical terms: what they really mean

Multicolinearity— they all look the same
Heteroscedasticity— the variation varies
Attenuation— being too modest
Overfitting— too good to be true
Confounding— nothing is what it seems
P-value— it’s complicated

Sensitivity analysis— tried a bunch of stuff
Post-hoc— main analysis not sexy enough
Multivariate— oops, meant to say multivariable
Normality— a very rare shape for data
Dichotomized— data was tortured
Extrapolation— just guessing

Linear regression— line through data points
t-test— linear regression
correlation— linear regression
ANOVA— linear regression
ANCOVA— linear regression
Chi-square test— logistic regression
Deep learning— bunch of regressions

Advanced stuff:
Non-convergence— computer says no
Heywood case— science fiction
Bootstrap standard errors— could not do the math
Robust standard errors— pretending to be cautious
Shrinkage— regularization
Regularization— couldn’t get large enough dataset

🎞 Asymptotics and perturbation methods

https://www.youtube.com/watch?v=KZsk8B_z8pI&feature=youtu.be

This is the introductory lecture in an applied math course on asymptotics and perturbation methods, offered by Prof. Steven Strogatz at Cornell University in Spring 2021.

Asymptotic methods and perturbation theory are clever techniques for finding approximate analytical solutions to complicated problems, by exploiting the presence of a large or small parameter. This course is an introduction to such methods and their applications in various branches of science and engineering.

The prerequisites are a knowledge of basic calculus and differential equations at an undergraduate level. The course emphasizes concrete examples, intuition, and applications to science and engineering, rather than theorems, proofs, and mathematical rigor. The treatment is friendly yet careful.

Topics include asymptotic expansion of integrals via Laplace's method, stationary phase, steepest descent, and saddle points. Perturbation methods for differential equations include dominant balance, boundary layer theory, multiple scales, and WKB theory. Most of the examples in the course deal with integrals or ordinary differential equations, but if time permits, we might also discuss some applications involving partial differential equations and difference equations.

Transitioning to data science from academia

https://mattsosna.com/Academia-to-DS/

📺 AMS Josiah Willard Gibbs Lecture on "What physics teaches us about computation in high dimensions"

https://t.co/aDr0SxQYkb

💰 #PhD Call: Combat Disinformation in Complex Social Systems

https://www.michelecoscia.com/?p=1950

You want to work on the “Modelling Complex Social Systems to Handle Disinformation”?
The IT University of Copenhagen has put out a call searching for people interested in starting a PhD in computer science in Fall 2021. One of the projects you could work on is my project on disinformation and social networks. You should apply if you think you: might be interested in pursuing a PhD related to misinformation and social media; like the idea of living in the happiest country in the world; and are ok with having a clueless supervisor like me. Link to apply.

What makes a person with COVID more contagious? Hint: not a cough

The amount of SARS-CoV-2 in a person’s body is a major factor in determining whether they are likely to transmit the virus to others, according to a study of nearly 300 infected people and their close contacts.

Most people with COVID-19 do not give it to anyone else, but some become ‘superspreaders’. To understand why, Michael Marks at the London School of Hygiene & Tropical Medicine and his colleagues monitored 282 people, deemed ‘index cases’, who had recently developed mild symptoms of COVID-19. The team also monitored 753 people who lived with, cared for or otherwise had close contact with the index cases (M. Marks et al. Lancet Infect. Dis. https://doi.org/10.1016/S1473-3099(20)30985-3; 2021).

Only one-third of the index cases transmitted the virus to a close contact. Those with a relatively high ‘viral load’, a measure of the amount of virus in the body, were much more likely to pass on the virus than were those with a low viral load. Index cases were no more likely to transmit the virus if they had a cough than if they didn’t.

The findings suggest that tracing the contacts of people with high viral loads is especially important, the authors say.

Brain & Mind Computational Seminar

23.2.2021 11:30 – 12:45 (Tehran Time)

A monthly seminar and venue for informal conversation about topics such as artificial intelligence, neuroscience, human behaviour, and digital humanities. Welcome!

Speakers:

Luigi Acerbi
Probabilistic machine and biological learning under resource constraints

Yasser Roudi

https://www.aalto.fi/en/events/brain-mind-computational-seminar

دفاع از پایان نامه کارشناسی ارشد
گرایش فیزیک آماری و سامانه های پیچیده

عنوان:
روش یادگیری ماشین برای تعیین گذار فاز در پدیده های بحرانی

سخنران:
علی حقیقت گو

اساتید راهنما:
دکتر سید محمدصادق موحد
دکتر نیما خسروی

زمان: سه شنبه ۲۸ بهمن ساعت ۱۳:۰۰

لینک شرکت در جلسه مجازی:
http://194.225.24.96/defa-physics-1
همچنین با اسکن qr code موجود در تصویر میتوانید لینک را دریافت کنید.

از طریق نرم افزار adobe connect میتوانید در این جلسه حضور یابید.
adobe connect_windows

adobe connect_mac

adobe connect_android

با نصب نرم افزار و کپی کردن آدرس جلسه مجازی در نرم افزار میتوانید بصورت مهمان وارد جلسه شوید.

💰 Doctor of Philosophy in Network Science

Application deadline is February 28, 2021. Please note that this is later than the general CEU application deadline. Anyone applying to our #PhD program before or on Feb 28 (until 23:59 CET) will be automatically considered for a scholarship.

We offer one of the most generous and accessible scholarship schemes, available to candidates from any country ranging from tuition awards to stipends.

Program Denoscription
The PhD program in Network Science is a research-oriented program that provides the only PhD degree in this field in Europe. Network science provides essential tools to study complex systems including society online and offline, the economy or urban traffic. Accordingly, the program provides hands-on experience with large datasets characterizing those systems and the skills needed to analyze them. At the same time, network science is a rapidly developing new discipline with ample opportunities to do fundamental research. Within the PhD program there are possibilities to carry out research either in applied or in theoretical-methodological directions.

The PhD program is open for students with a wide variety of backgrounds. Presently we have students with MA/MSc in math, physics, sociology, psychology, architecture, economics and political science. The Program is strongly interdisciplinary with a special emphasis on quantitative methods and data-oriented research. Those who have weaker math backgrounds will have to participate in a pre-session course and will need some additional effort.

⛳️ We do NOT request a GRE test.

https://networkdatascience.ceu.edu/phd-program-network-science-ceu