Complex Systems Studies
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#complexity #complex_systems #networks #network_science

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A Network Science Summer Course for High School Students

Florian Klimm, Benjamin F. Maier

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We discuss a two-week summer course on Network Science that we taught for high school pupils. We present the concepts and contents of the course, evaluate them, and make the course material available.
در این کانال مجموعه‌ی بزرگی از ویدیوهای مربوط به یادگیری برنامه‌نویسی و کار با داده وجود داره:

https://www.aparat.com/datasience
Efficient limited-time reachability estimation in temporal networks

Arash Badie-Modiri, Márton Karsai, and Mikko Kivelä

https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052303

Abstract
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described as limited-waiting-time processes, and they are particularly important for systems modeled as temporal networks. These processes have been studied via simulations, which is equivalent to repeatedly finding all limited-waiting-time temporal paths from a source node and time. We propose a method yielding an orders-of-magnitude more efficient way of tracking the reachability of such temporal paths. Our method gives simultaneous estimates of the in- or out-reachability (with any chosen waiting-time limit) from every possible starting point and time. It works on very large temporal networks with hundreds of millions of events on current commodity computing hardware. This opens up the possibility to analyze reachability and dynamics of spreading processes on large temporal networks in completely new ways. For example, one can now compute centralities based on global reachability for all events or can find with high probability the infected node and time, which would lead to the largest epidemic outbreak.
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Stochastic Processes: Data Analysis and Computer Simulation

https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si

The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid.

What you'll learn
Basic Python programming
Basic theories of stochastic processes
Simulation methods for a Brownian particle
Application: analysis of financial data
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Margins!
https://fermatslibrary.com/margins

A free online repository where you can:
- Save and annotate your papers
- Share papers and collaborate with anyone
- Annotate using LaTeX, Code, Markdown and more
💠 مجموعه وبینارهای قرنطینه
🔖 جلسه‌ی دوم: «علوم کامپیوتر نظری: گذشته، حال و آینده»
👤 دکتر امیر دانشگر
📒 چهارشنبه، ۲۴ اردیبهشت‌ماه؛ ساعت ۱۷ تا ۱۹
🔸 جهت شرکت در این جلسه، در زمان برگزاری به‌عنوان مهمان وارد لینک زیر شوید:
vclass.ecourse.sharif.edu/ch/alishahi

© @hamband_math_cs
🆔 @Zharfa90
Adventures in the Theoretical Sciences

Thursdays and Fridays 11AM - 1PM EDT, June - July, 2020

June 4 and 5 Few-body and many-body chaos, Vladimir Rosenhaus
June 11 and 12 Multi-parameter models and information geometry, Katherine Quinn
June 18 and 19 Statistical physics and machine learning, David J. Schwab
June 25 and 26 Big universe, big data: Emerging challenges in astrophysics, Viviana Acquaviva
July 2 and 3 Precision and emergence in the physics of life, William Bialek
July 9 and 10 Driven quantum systems, Vadim Oganesyan

https://itsatcuny.org/news/2020/5/11/adventures-in-the-theoretical-sciences-2020
What is interdisciplinarity? Views from students and professors in a non-major intro physics course

Ian Descamps, Thomas Moore, Benjamin Pollard

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We present an investigation into the interdisciplinary role of physics in a physics-for-non-physicists course at Pomona College. This work is guided by prior research into introductory physics for life-science (IPLS) courses, but attends to significant differences in the scope and context of this course. We interviewed enrolled students, physics professors, and professors from non-physics disciplines to explore the function of this course and the role of physics in the education of non-physics-science students. Interviews were audio recorded and transcribed, then analyzed to identify emergent themes. These themes outline the authentic physics, including content knowledge and other, broader learning objectives, that play an important and distinct role in the science education of enrolled students. Stakeholders generally align in their emphasis of interdisciplinary relevance with some divergence in the specific articulation of that idea. The differences can be understood through the stakeholders' distinct areas of expertise, with non-physics professors expressing value through relevance to their discipline and physics professors focusing on essential aspects of physics.
ICTP is pleased to welcome Dr. Shivaji Sondhi of Princeton University, USA, for a topical Joint Colloquium with the Scuola Internazionale Superiore di Studi Avanzati (SISSA). Titled “Digital Herd Immunity and Covid-19,” the online colloqiium will be held on Wednesday, 13 May, 2020, at 16:00 CET.

All are welcome to attend by registering for the webinar, which includes a question and answer session after the talk, or by watching the livestream or recording on ICTP‘s Youtube page.

امروز، ساعت ۱۸:۳۰ به وقت تهران
Theory of Computation.mp4
183.3 MB
«علوم کامپیوتر نظری: گذشته، حال و آینده»
👤 دکتر امیر دانشگر

ویدیو سخنرانی
@hamband_math_cs
Physics Without Frontiers is excited to announce a new round of MSc scholarships for students from Afghanistan to study a two-year taught programme with master thesis at the Institute for Advanced Studies in Basic Sciences in Iran.
https://t.co/fC9pGlCAiX
💰 Department of Computer Science has three open calls for students of different levels:
1. Doctoral Track Programme
2. Honours Programme in Computer Science
3. Competitive co-funded doctoral student positions
Calls are open for Aalto University students, please check specific application requirements from each call. Three good reasons to be a student of computer science at Aalto University!

Check more at cs.aalto.fi
در قسمت ششم از سری لایوهای اینستاگرامی «پشت‌پرده نجوم» با علیرضا وفایی‌صدر، پژوهشگر فیزیک در مقطع پسادکتری در ipm، درمورد جایگاه علم داده در نجوم امروزی گفت‌و‌گو می‌کنیم.

این برنامه جمعه ٢۶ اردیبهشت، ساعت ۶ عصر در پیج اینستاگرام زیر برگزار میشه:

https://www.instagram.com/p/CALMn2NpoDX/?igshid=i2hq7z96klzl
💰 📢Looking for a PhD position? Have strong mathematical skills? Fascinated by fundamental research? Keen to work in an interdisciplinary setting interfacing theoretical neuroscience, Bayesian modeling, philosophy and cognitive science? This PhD position may be for you! 👇

(fully funded) #PhD project 'How to Grow an Internal Model: A Toolbox for the Computational Modeller'

https://t.co/2P4Zk7O4iz