Learning resources

Links I found useful while studying towards my Communication Systems degree

course

• http://academicearth.org/ Academic Earth
• http://ocw.mit.edu/OcwWeb/web/courses/courses/index.htm MIT OpenCourseWare
• http://betterexplained.com/ Better Explained
• http://www.open.ac.uk/ Open University
• http://webcast.berkeley.edu/courses.php Berkley courses
• http://www.cosmolearning.com/ Cosmo learning
• http://www.cramster.com/ Cramster

maths

• http://mathoverflow.net/ Mathoverflow
• http://www.math-atlas.org/ Math atlas
• http://www.math.vanderbilt.edu/~schectex/commerrs/ Common math errors
• http://people.math.gatech.edu/~cain/winter99/complex.html Complex Analysis
• http://www.math.umn.edu/~nykamp/m2374/readings/topicindex.html Vector analysis

electronics

• http://en.wikibooks.org/wiki/Circuits Circuit wikibooks
• http://www.allaboutcircuits.com/ All About Circuits
• http://www.electronics-tutorials.ws/sitemap/sitemap.html Electronics tutorials
• http://profs.cmaisonneuve.qc.ca/svezina/nyb/note_nyb.html Course notes (french)

signal processing

• http://en.wikibooks.org/wiki/Digital_Signal_Processing DSP wikibook
• http://www.jhu.edu/signals/index.html Signal demos
• http://www.dspguide.com/pdfbook.htm DSP guide book
• http://www.debugmode.com/imagecmp/ Image compressing
• http://dsp.rice.edu/cs Compressive sensing

programming

• http://cslibrary.stanford.edu/ Stanford CS library
• http://www.stanford.edu/class/cs193p/cgi-bin/drupal/ iPhone dev
• http://www.ooblick.com/text/sh/ Shell programming
• http://learnperl.scratchcomputing.com/tutorials/csss/ Perl programming

probability & statistics

• http://stattrek.com/Lesson1/Statistics-Intro.aspx?Tutorial##Stat Stattrek
• http://onlinestatbook.com/ Online stat book
• http://davidmlane.com/hyperstat/ Hyperstat
• http://mathcentral.uregina.ca/RR/database/RR.09.95/weston2.html standard deviation

computer vision

• http://www.cvpapers.com/cvpr2010.html CV papers
• http://szeliski.org/Book/ Szeliski book
• http://www.cs.iit.edu/~agam/cs512/index.html CS512
• http://www.cs.jhu.edu/~hager/teaching/cs461/ CS461
• http://www.cse.psu.edu/~rcollins/CSE486/ CSE486
• http://www.aishack.in/tutorials/computer-vision/ Algorithms & techniques

quantum physics

• http://en.wikibooks.org/wiki/This_Quantum_World Quantum wikibook

artificial intelligence

• http://www.eecs.qmul.ac.uk/~mmh/AINotes/ Course notes
• http://aima.cs.berkeley.edu/ai.html Berkley AI
• http://www.autonlab.org/tutorials/ Statistical Data Mining

computer graphics

• http://fly.cc.fer.hr/~unreal/theredbook/ OpenGL Red book
• http://nehe.gamedev.net/lesson.asp?index##01 Nehe tutorials
• http://www.realtimerendering.com/ Real-time rendering
• http://www.lighthouse3d.com/opengl/tutorials.shtml Lighthouse 3D tutorials
• http://www.songho.ca/opengl/index.html Songho
• http://www.codesampler.com/code/ CodeSampler
• http://www.arcsynthesis.org/gltut/index.html Learning 3D graph with OpenGL

meta

• http://research.microsoft.com/en-us/um/people/simonpj/papers/giving-a-talk/giving-a-talk.htm Givin a talk
• http://en.wikibooks.org/wiki/LaTeX !LaTeX