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"Learn it!" is a project dedicated to collecting of high quality online learning resource links (MOOC, youtube video lecture courses) in various subjects (primarily natural sciences and software engineering). Our primary interest is videos of complete lecture courses.

Level - undergraduate and graduate. Target audience - higher education students and adult learners.

opt: We are a project about your topic of study or knowledge that anyone, including you, can contribute to. We do not create new learning materials on these pages, but rather collect references to quality online and offline existing resources on specific topics. Today, when online video lectures, MOOC courses, free e-books and books are abundant, we help each other to find them and to select most valuable of them.

You can see This Site On One Page

Mathematics[edit | edit source]

Physics[edit | edit source]

Philosophy[edit | edit source]

Perimeter PSI Program[edit | edit source]

Software Engineering[edit | edit source]

All LearnIt Project Content[edit | edit source]

These pages are for archiving and printing

Links[edit | edit source]

Open educational platforms[edit | edit source]

Other catalogs of educational resources[edit | edit source]

  • www.infocobuild.com [courses], [physics] - this site maintains a very rich collection of links to educational resources and particular online lecture courses on many scientific topics and on many levels. Highly recommended.

Mathematics[edit | edit source]

Calculus[edit | edit source]

  • Advanced Calculus [link]

Linear Algebra[edit | edit source]

  • Linear algebra - Gilbert Strang, MIT [link]

Differential Equations[edit | edit source]

Algebra[edit | edit source]

  • Lie Groups and Lie Algebras - PI & PSI, ... [link] (with a particular focus on physics, though)

Differential Geometery[edit | edit source]

  • Tensor Calculus and the Calculus of Moving Surfaces - P. Grinfield [link] (todo: much more stuff is on his channel)

Functional Analysis[edit | edit source]

  • none

Other[edit | edit source]

  • The Fourier Transforms and its Applications, Stanford, [link]
  • Math history [link]
  • Differential topology - J.W. Milnor [link]
  • Topology & Geometry by Dr Tadashi Tokieda [link]

Links[edit | edit source]

youtube channels with math lectures

Mathematics for Physics[edit | edit source]

  • Lectures on Geometrical Anatomy of Theoretical Physics, Fredric Schuller, FAU [link]
  • Selected Topics in Mathematical Physics, prof. V. Balakrishnan [link]
  • Lie Groups and Lie Algebras - PI & PSI, ... [link] (with a particular focus on physics)

General Physics[edit | edit source]

  • Fundamentals of Physics - Prof. R. Shankar, Yale [link]
    • Part I - Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves [link]
    • Part II - electricity, magnetism, optics and quantum mechanics [link]
  • Basic Physics, UCI
    • Part A - kinematics and Newtonian dynamics - Prof. M. Dennin [link]
    • Part B - fluid mechanics, thermodynamics,electrostatics, magnetism - Prof. R. McWilliams [link]
    • Part C - waves and sound, optics, quantum concepts, atomic and nuclear physics, and relativity - Michael Smy [link]

Others

  • Electromagnetism, Robert de Mello Koch, AIMS [link] - a bit more advanced than a general physics level

Analytical Mechanics and Classical Field Theory[edit | edit source]

Analytical Mechanics[edit | edit source]

Classical Field Theory[edit | edit source]

  • Classical Field Theory, S.Govindarajan, IITM, NPTEL [link]
  • Electromagnetic Theory II, A. Baykal, METU [link]

General Relativity[edit | edit source]

  • Prof. Hamber, Einstein's General Relativity and Gravitation - UCI [link]
  • Frederic P Schuller, Lectures on general relativity [link] + tutorials [link]
  • E. Akhmedov, Introduction into General Theory of Relativity - HSE, coursera [link] (new)
  • Ruth Gregory, Gravitational Physics Review - PSI [link]
  • Alexander Maloney
  • Alex Flournoy, General Relativity, Colorado School of Mines [link]

Quantum Mechanics[edit | edit source]

Quantum Mechanics[edit | edit source]

QM Video Courses[edit | edit source]

QM Textbooks[edit | edit source]

  • Cohen-Tannoudji, Shankar

Discussions[edit | edit source]

Advanced QM Video Courses[edit | edit source]

  • "Introduction to Quantum Optics", LMU, Coursera [link]
  • "Quantum Mechanics I,II" -- N.Kemal PAK, METU [part 1] [part 2]
  • "Atomic and optical physics I, II", MIT [8.421, 8.422, also 8.421 at edx.org]
  • Advanced quantum theory, Tobias Osborne [link]
  • Theory of quantum noise and decoherence - Tobias Osborne [link]

Quantum Information Video Courses[edit | edit source]

  • Quantum Mechanics and Quantum Computation, Berkley University, edx.org [link] [youtube]
  • Quantum Information, Perimeter, Andrew Childs [2013], Daniel Gottesman [2014] [link2]
  • MIT Quantum Information Science 8.370 [1] [2] [3]
  • MIT Quantum Information Science 8.371 [1] [2] [3]
  • The Hardware of a Quantum Computer [link]
  • Architecture, Algorithms, and Protocols of a Quantum Computer and Quantum Internet [link]
  • Quantum Cryptography [link]
  • Quantum machine learning, Peter Wittek, University of Toronto [link]
  • The Introduction to Quantum Computing by Saint Petersburg State University [link]

QM Foundations[edit | edit source]

QM Foundations Video Courses[edit | edit source]

  • "Foundations of Quantum Mechanics" - Florian Marquardt [link]
  • "Foundations of Quantum Mechanics" - Perimeter, R. Spekkens [2009, 2010, 2011, 2012], L. Hardy [2013, 2014]
  • "Foundations and Interpretation of Quantum Theory" - Perimeter [2010-1, 2010-2]
  • "Interpretation of Quantum Theory" - Perimeter [2005]
  • Theory of quantum noise and decoherence - Tobias Osborne [link]

QM Foundations Books[edit | edit source]

  • Quantum Paradoxes. Y.Aharonov, D.Rohrlich
  • Do We Really Understand Quantum Mechanics? F.Laloë
  • The Quantum Challenge. Modern Research on the Foundations of Quantum Mechanics. G.Greenstein, A.G.Zajonc

Quantum Field Theory[edit | edit source]

Quantum Field Theory[edit | edit source]

Introductory level[edit | edit source]

  • The Discovery of the Higgs Boson, Edinburgh University [link] (somewhere popular, not a regular studying course)
  • Leonard Susskind, Advanced QM and Particle Physics [ Adv, P1, P2, P3 ]
  • Alex Flornoy, Particle physics, Colorado School of Mines [link]
  • Muhammad S. Anwar, Introduction to Quantum Field Theory - Physlab, Pakistan [link not available]

Relativistic QM[edit | edit source]

(also considered as introductory level QFT)

  • Apoorva D Patel, Relativistic Quantum Mechanics [link]
  • Ennio Gozzi, Relativistic Quantum Mechanics

QFT General Level Courses[edit | edit source]

QFT Books[edit | edit source]

  • An Interpretive Introduction to Quantum Field Theory
  • How Is Quantum Field Theory Possible?
  • The Conceptual Framework of Quantum Field Theory
  • Conceptual Foundations of Quantum Field Theory
  • Gauge Theories in Particle Physics: A Practical Introduction

Other Physics Topics[edit | edit source]

Statistical Mechanics and Thermodynamics[edit | edit source]

Cosmology[edit | edit source]

  • Alan Guth, The Early Universe - MIT [link]
  • Sean Carroll, Cosmology for Particle Physicists - CERN [link]

Concurrent Programming[edit | edit source]

Selected stuff (Books)[edit | edit source]

There are too many platforms and languages with multithreading support. Let's first of all bring here the books which matter, rather than yet another boring platform-specific manual.

  • "The Little Book of Semaphores", Allen B. Downey [get free] -- good for acquiring an intuition on solving of basic (and not so basic) synchronization problems using old good semaphores.
  • "The Art of Multiprocessor Programming", Maurice Herlihy, Nir Shavit  [amazon] -- this book is mostly dedicated to the lock-free synchronization and other advanced topics rather than basic synchronization methods.
  • Any good book on condvars?

Frameworks?[edit | edit source]

OpenMP, MPI, TBB, TPL, Cilk, Cilk plus, OpenCL, PPL, ParaSail, GCD, fork/join, AMP, CnC, PBB, ArBB, PPL

Platform and language specific stuff.[edit | edit source]

  • Concurrent programming in Erlang, Future Learn [link]
  • Bartosz Milewski - Parallel and Concurrent Haskell [link]

Distributed Programming[edit | edit source]

Video Courses[edit | edit source]

  • Seif Haridi. Distributed Algorithms. [video]
  • CS 436: Distributed Computer Systems, University of Waterloo [video]
  • Cloud Computing Concepts, University of Illinois, coursera.org [link]

Functional Programming[edit | edit source]

Machine Learning and AI[edit | edit source]





Algorithms[edit | edit source]





Operational Systems[edit | edit source]

LearnIt/Operational Systems

Linux[edit | edit source]

User[edit | edit source]

  • Linux Fundamentals, Prof. Dan Alberghetti [link]

Admin[edit | edit source]

User Space API[edit | edit source]

Kernel[edit | edit source]

Drivers[edit | edit source]

Networking Protocols[edit | edit source]

Video Courses[edit | edit source]

Programming Languages[edit | edit source]

This page is either for interesting languages or interesting resources. Please no yet another "learn smth in # days". Good introductory courses are still welcome. Preferably, no materials for beginners like "smth as your first language".

C#[edit | edit source]

clojure[edit | edit source]

F#[edit | edit source]

erlang[edit | edit source]

go[edit | edit source]

Haskell[edit | edit source]

java[edit | edit source]

javascript[edit | edit source]

lisp[edit | edit source]

ocaml[edit | edit source]

python[edit | edit source]

ruby[edit | edit source]

scala[edit | edit source]

scheme[edit | edit source]

  • Video Lectures by Hal Abelson and Gerald Jay Sussman [link]

Swift[edit | edit source]

Databases[edit | edit source]

LearnIt/Databases