#lecturenotes — Public Fediverse posts

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes #populationDynamics

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes #populationDynamics

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes #populationDynamics

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes #populationDynamics

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes

Sinh viên tạo ứng dụng ghi chú bằng AI để không bỏ l nội dung bài giảng. ng dụng giúp ghi chú tự động, tiết kiệm thời gian. #AI #GhiChú #ngDụng #SinhVien #LectureNotes #NoteTaker #ArtificialIntelligence #GhiChúTựĐộng

https://www.reddit.com/r/SideProject/comments/1p5re66/i_kept_missing_things_in_lectures_so_i_built_a/

Quantum Computation Lecture Notes by Peter Shor

https://math.mit.edu/~shor/435-LN/

#HackerNews #QuantumComputation #LectureNotes #PeterShor #MIT #Math #Education

Again late in writing up my lecture notes, but: for me, the highlight of @fabiociotti's talk in January in Leipzig was his first analogy for understanding LLMs: maybe they are something like Lotman's semiosphere, some sort of collective intellect representing all culture, with all its inherent contradictions and non-alignments.
#lectureNotes #LLMs #semiosphere

I'm releasing lecture slides and related demos (Jupyter notebooks) for my classes in open-source form on Github:
https://andreask.cs.illinois.edu/lecture-slides-and-demos-released-as-open-source/ 🗨️ 🎓 📖 🧑‍🏫 #teaching #scicomp #opensource #lecturenotes

I'm releasing lecture slides and related demos (Jupyter notebooks) for my classes in open-source form on Github:
https://andreask.cs.illinois.edu/lecture-slides-and-demos-released-as-open-source/ 🗨️ 🎓 📖 🧑‍🏫 #teaching #scicomp #opensource #lecturenotes

I'm releasing lecture slides and related demos (Jupyter notebooks) for my classes in open-source form on Github:
https://andreask.cs.illinois.edu/lecture-slides-and-demos-released-as-open-source/ 🗨️ 🎓 📖 🧑‍🏫 #teaching #scicomp #opensource #lecturenotes

I'm releasing lecture slides and related demos (Jupyter notebooks) for my classes in open-source form on Github:
https://andreask.cs.illinois.edu/lecture-slides-and-demos-released-as-open-source/ 🗨️ 🎓 📖 🧑‍🏫 #teaching #scicomp #opensource #lecturenotes

I'm releasing lecture slides and related demos (Jupyter notebooks) for my classes in open-source form on Github:
https://andreask.cs.illinois.edu/lecture-slides-and-demos-released-as-open-source/ 🗨️ 🎓 📖 🧑‍🏫 #teaching #scicomp #opensource #lecturenotes

Fernando Quevedo, Andreas Schachner, "Cambridge Lectures on The Standard Model"

Abstract: These lecture notes cover the Standard Model (SM) course for Part III of the Cambridge Mathematical Tripos, taught during the years 2020-2023. The course comprised 25 lectures and 4 example classes. Following a brief historical introduction, the SM is constructed from first principles. We begin by demonstrating that essentially only particles with spin/helicity 0,1/2,1,3/2,2 can describe matter and interactions, using spacetime symmetries, soft theorems, gauge redundancies, Ward identities, and perturbative unitarity. The remaining freedom lies in the choice of the Yang-Mills gauge group and matter representations. Effective field theories (EFTs) are a central theme throughout the course, with the 4-Fermi interactions and chiral perturbation theory serving as key examples. Both gravity and the SM itself are treated as EFTs, specifically as the SMEFT (Standard Model Effective Field Theory). Key phenomenological aspects of the SM are covered, including the Higgs mechanism, Yukawa couplings, the CKM matrix, the GIM mechanism, neutrino oscillations, running couplings, and asymptotic freedom. The discussion of anomalies and their non-trivial cancellations in the SM is detailed. Simple examples of calculations, such as scattering amplitudes and decay rates, are provided. The course concludes with a brief overview of the limitations of the SM and an introduction to the leading proposals for physics beyond the Standard Model.

https://arxiv.org/abs/2409.09211

#physics #lectureNotes

I’m not teaching any more, but I don’t want to just bin a decade worth’s of lecture notes, so here’s part of the first lecture tech students get in their first week of university:

To talk about sound, we must first talk about air. This is made up of about 78% nitrogen, 21% oxygen and various other gases. At 20 degrees Celsius (that is, room temperature), each air molecule is moving all the time at 500 metres per second. They are constantly colliding with each other and with anything in their path.

If a football hit you at 500 m/s, you’d be in trouble, but air molecules are tiny. Force = mass* acceleration. The force of a football is huge in comparison to a single nitrogen atom. But if you pump a lot of air into a tyre, say 6 bar (87 psi), the force of all the colliding air molecules will make the tyre very stiff. At sea level, the pressure of the atmosphere is about 1.03 bars (14.7 psi).

So how does sound propagate in air? Let’s say Adam Kryński hits his Bodhrán with a stick.

This causes the drum membrane to move very suddenly. He pushes the membrane and, on the other side of the drum, the membrane pushes on all the air molecules. They get packed in together. This creates a band of high pressure, that starts at the drum and moves outwards. All the molecules are moving at 500 m/s. But they’re not all going in the same direction. Some are going away from the drum, but some are going sideways or backwards. They’re all crowded though, and colliding into the molecules around them, so that wave of intense collisions, the high pressure wave, is moving away from the drum at 340 m/s, at room temperature.

If we were in Death Valley when it was 20 degrees out, the air pressure would be higher, so there would be more collisions. However, the air molecules would still be moving at their normal speed, so the pressure wave would still move at 340 m/s. If we were on Mount Everest at 20 degrees, there would be fewer collisions, but the speed would still be the same.

However, at 30 degrees, air moves faster, so sound moves faster. And at 10 degrees, air is slower so sound is slower.

Kryński’s drum head has creates a high pressure wave when it moved from being hit, but it doesn’t stay in that position. The drum head snaps back in the other direction, passing it’s mid point. This movement backwards creates a space where there are fewer air molecules. A low pressure wave follows the high one, moving at the same speed.

The head, still out of place snaps back forwards again, creating another, smaller, pressure wave and then another smaller wave of low pressure.

We can see a simulation of this drum head via Falstad.

You can see the high and low pressure waves. In this simulation, the drum head vibrates forever, but it does give you an idea of the sound waves moving away from the drum.

These sound waves might reach your ear.

https://www.celesteh.com/blog/2024/04/10/the-science-of-sound/

#lectureNotes #scienceOfSound

▪️@cybernews research▪️ Two million affected as learning app suffers data leak⤵️
#LectureNotes #dataleak #privacy #datasecurity #cybersecurity #infosec

https://cybernews.com/security/lecturenotes-data-leak-two-million-affected/?utm_source=mastodon&utm_medium=social&utm_campaign=cybernews&utm_content=post

New #openaccess publication #SciPost #Physics #LectureNotes

Plea for the use of the exact Stirling formula in statistical mechanics

Didier Lairez
SciPost Phys. Lect. Notes 76 (2023)
https://scipost.org/SciPostPhysLectNotes.76

#ÉcolePolytechnique

New #openaccess publication #SciPost #Physics #LectureNotes

Four lectures on Euler integrals
Saiei-Jaeyeong Matsubara-Heo, Sebastian Mizera, Simon Telen
SciPost Phys. Lect. Notes 75
https://scipost.org/SciPostPhysLectNotes.75

#KumamotoUniversity #IAS #MPI-MIS #JSPS #DOE

New #openaccess publication #SciPost #Physics #LectureNotes

Four lectures on Euler integrals
Saiei-Jaeyeong Matsubara-Heo, Sebastian Mizera, Simon Telen
SciPost Phys. Lect. Notes 75
https://scipost.org/SciPostPhysLectNotes.75

#KumamotoUniversity #IAS #MPI-MIS #JSPS #DOE

New #openaccess publication #SciPost #Physics #LectureNotes

Four lectures on Euler integrals
Saiei-Jaeyeong Matsubara-Heo, Sebastian Mizera, Simon Telen
SciPost Phys. Lect. Notes 75
https://scipost.org/SciPostPhysLectNotes.75

#KumamotoUniversity #IAS #MPI-MIS #JSPS #DOE

New #openaccess publication #SciPost #Physics #LectureNotes

Four lectures on Euler integrals
Saiei-Jaeyeong Matsubara-Heo, Sebastian Mizera, Simon Telen
SciPost Phys. Lect. Notes 75
https://scipost.org/SciPostPhysLectNotes.75

#KumamotoUniversity #IAS #MPI-MIS #JSPS #DOE

New #openaccess publication #SciPost #Physics #LectureNotes

Four lectures on Euler integrals
Saiei-Jaeyeong Matsubara-Heo, Sebastian Mizera, Simon Telen
SciPost Phys. Lect. Notes 75
https://scipost.org/SciPostPhysLectNotes.75

#KumamotoUniversity #IAS #MPI-MIS #JSPS #DOE

Your chance for self-promo but first, please hear me out:

It's confirmed that I'll teach my first #Lecture (all alone!) in spring 2024. I am very excited about this new challenge @IPWunibern

Currently, I am searching #LectureNotes/class material, so please share anything on non-technical introduction to #Causality - thanks!

Please share widely #PolticialScience @polsci @dvpw #Econometrics #Economics

Fantastic things happen when pen meets paper and the kind of notebook you choose can compliment your style and offer #inspiration. #lecturenotes https://buff.ly/3De0tIz #writingislife #writinghacks #notebooks #journals #penandink

What a Christmas present! 🎁

"High-Dimensional Probability and Applications in Data Science: a video course," by Roman Vershynin:
🎞️ https://math.uci.edu/~rvershyn/teaching/hdp/hdp.html

"The course consists of 41 video lectures and 13 homework sets. It was taught remotely at Kyiv National University in the Fall of 2022, during the Russian invasion of Ukraine." #maths #probability #statistics #lecturenotes #DataScience

[ Complements his amazing book, whose draft is freely available: 📝https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.html ]

Now, of course, that's for Euclidean distances: for other distances, dimensionality reduction and #metricembeddings can be... trickier. But let's just celebrate the JL lemma for now! 🔨

Or you could also check out these #lecturenotes (2018) by Jiří Matoušek and Moses Charikar:
📝 https://web.stanford.edu/class/cs369m/lectures.html

That's all for today: if you have questions, comments, please do so below. And see you in 1.5 weeks for another quiz!

9/end