http://www.uccs.edu/~math/vidarchive.html
Spring Semester 2010
Math 448- Mathematical Modeling - Dr. Radu Cascaval
Spring Semester 2009
Math 443- Ordinary Differential Equations - Dr. Radu Cascaval
Fall Semester 2008
Math 447- Applied Mathematics - Dr. Radu Cascaval
Summer Semester 2008
Math 442 - Optimization - Dr. Radu Cascaval
Fall Semester 2007
Math 414 - Modern Algebra - Dr. Gene Abrams
Math 533 - Real Analysis - Dr. Rinaldo Schinazi
Summer Semester 2007
Math 425 - Chaotic Dynamical Systems - Dr. Greg Morrow
Spring Semester 2007
Math 432 - Modern Analysis II - Dr. Bob Carlson
Fall Semester 2006
Math 431 - Modern Analysis I - Dr. Rinaldo Schinazi
Summer Semester 2006
Math 483 - Linear Statistical Models - Dr. Greg Morrow
Spring Semester 2006
Math 535 - Applied Functional Analysis - Dr. Greg Morrow
Friday, December 31, 2010
ICTP Diploma Programs in Math & Physics
High Energy Physics
Relativistic Quantum Mechanics
Quantum Electrodynamics
Quantum Field Theory
Lie Groups and Lie Algebras
Introduction to Particle Physics
General Relativity
The Standard Model
Susy Field Theory
String Theory
Condensed Matter Physics
Advanced Statistical Mechanics
Advanced Quantum Mechanics
Many Body Physics
Solid State Physics
Graduate Mathematics
Partial Differential Equations
Topology
Algebraic Topology
Abstract Algebra
Complex Analysis
Real Analysis I and Real Analysis II
Functional Analysis I and Functional Analysis II
Differential Equations and Dynamical Systems
Ergodic Theory
Differential Geometry
Algebraic Geometry
Probability Theory
Relativistic Quantum Mechanics
Quantum Electrodynamics
Quantum Field Theory
Lie Groups and Lie Algebras
Introduction to Particle Physics
General Relativity
The Standard Model
Susy Field Theory
String Theory
Condensed Matter Physics
Advanced Statistical Mechanics
Advanced Quantum Mechanics
Many Body Physics
Solid State Physics
Graduate Mathematics
Partial Differential Equations
Topology
Algebraic Topology
Abstract Algebra
Complex Analysis
Real Analysis I and Real Analysis II
Functional Analysis I and Functional Analysis II
Differential Equations and Dynamical Systems
Ergodic Theory
Differential Geometry
Algebraic Geometry
Probability Theory
Online Physics Video Courses
Everybody knows about MIT OCW and Stanford on iTunes, but here are a few less well known video lectures on advanced physics topics.
Classical Mechanics at McGill University
Computational Physics at Oregon State University
Foundations of Theoretical Physics at USC
General Relativity at McGill University
Quantum Physics A, B & C at UCSD
Mathematical Physics I & II at University of New Mexico
Quantum Mechanics I & II at University of New Mexico
Quantum Field Theory I & II at University of New Mexico
Classical Mechanics at McGill University
Computational Physics at Oregon State University
Foundations of Theoretical Physics at USC
General Relativity at McGill University
Quantum Physics A, B & C at UCSD
Mathematical Physics I & II at University of New Mexico
Quantum Mechanics I & II at University of New Mexico
Quantum Field Theory I & II at University of New Mexico
Wednesday, December 22, 2010
Here's someone else who shouldn't be trying to do math
http://www.thebigquestions.com/2010/12/22/a-big-answer-2/
The correct answer is 1/2. In statistical notation, he is asking us to calculate E[G]/E[B+G], the expected proportion of females in the total population. However, he turns it into the different question E[G/(B+G)], the expected proportion of females in an average family, which is not generally equal to the first expression (since families are of different sizes) and which in this case gives the incorrect answer of 30.6%. The guy is impervious to all the good arguments that have been posted to his blog pointing out his error.
His argument is exactly the same as if I headed down to the roulette tables in Vegas and placed bets on black, just making sure that at each session I stop when black hits. According to his "math", that strategy should provide a 69.4% win rate (slightly less once we account for 0 and 00, but still well above 50%). A sure-fire way to beat the house!
The correct answer is 1/2. In statistical notation, he is asking us to calculate E[G]/E[B+G], the expected proportion of females in the total population. However, he turns it into the different question E[G/(B+G)], the expected proportion of females in an average family, which is not generally equal to the first expression (since families are of different sizes) and which in this case gives the incorrect answer of 30.6%. The guy is impervious to all the good arguments that have been posted to his blog pointing out his error.
His argument is exactly the same as if I headed down to the roulette tables in Vegas and placed bets on black, just making sure that at each session I stop when black hits. According to his "math", that strategy should provide a 69.4% win rate (slightly less once we account for 0 and 00, but still well above 50%). A sure-fire way to beat the house!
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