< LearnIt

Contents

Educational level: this is a tertiary (university) resource.
Subject classification: this is a mathematics resource.
Subject classification: this is a physics resource.

"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

Physics

Perimeter PSI Program (temporarily)

Software Engineering

All LearnIt Project Content

These pages are for archiving and printing

Links

Open educational platforms

Other catalogs of educational resources

  • 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

Calculus

  • Advanced Calculus [link]

Linear Algebra

  • Linear algebra - Gilbert Strang, MIT [link]

Differential Equations

Algebra

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

Differential Geometery

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

Functional Analysis

  • none

Other

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

youtube channels with math lectures

Mathematics for Physics

  • 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

  • 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

Analytical Mechanics

Classical Field Theory

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

General Relativity

  • 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

Quantum Mechanics

QM Video Courses

QM Textbooks

  • Cohen-Tannoudji, Shankar

Discussions

Advanced QM Video Courses

  • "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

  • 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

QM Foundations Video Courses

  • "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

  • 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

Quantum Field Theory

Introductory level

  • 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

(also considered as introductory level QFT)

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

QFT General Level Courses

QFT Books

  • 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

Statistical Mechanics and Thermodynamics

Cosmology

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

Concurrent Programming

Selected stuff (Books)

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?

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

Platform and language specific stuff.

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

Distributed Programming

Video Courses

  • 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

Machine Learning and AI





Algorithms





Operational Systems

LearnIt/Operational Systems

Linux

User

  • Linux Fundamentals, Prof. Dan Alberghetti [link]

Admin

User Space API

Kernel

Drivers

Networking Protocols

Video Courses

Programming Languages

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#

clojure

F#

erlang

go

Haskell

java

javascript

lisp

ocaml

python

ruby

scala

scheme

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

Swift

Databases

LearnIt/Databases

This article is issued from Wikiversity. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.