




Anthony Shaheen 
A01 (8:00am); A06 (1:00pm)
WLH 2114 
A50 (8:00am)AP&M(B337) A55(1:00pm)CLICS(NWMezz) 
AP&M 2202 ashaheen@math.ucsd.edu 
T 2:103:40; Th 2:103:40. 
Caleb Emmons 
A03 (10:00am); A04(11:00am) WLH 2114 
A52(10:00am)CLICS(NWMezz) A53(11:00am)CLICS(NWMezz) 
AP&M 2202 cemmons@math.ucsd.edu 
M 12:302:30; W 10:3012:00. 
Help with Mathematical Problems:
Help if Personal Problems Affect Work: Talk to the professor or, if appropriate, your college provost.
Prof. Strang, who has written a text on linear algebra, has a variety of material from his MIT course on linear algebra here.Linear algebra is a collection of ideas and methods related to linear equations. It is an important tool in mathematics and statistics and in many areas of science and engineering. In some areas, linear algebra is more important than calculus and, in others, it is intertwined with calculus. It seems to be a fact of life that widespread application requires abstraction in mathematics (even "number" is an abstraction"things" exist but numbers don't) and science (compare modern physics with physics in the time of Kepler and Galileo). Linear algebra is no exception: Its concepts and methods are rather abstract. This requires you learn the language involved. You will probably find that over half the battle with most 20F problems is understanding what is being asked. Because of the new concepts, this course appears to move at a faster pace than the calculus courses. To really understand tools, we must use them to work problems. All but the smallest linear algebra problems require considerable calculation. Thus, computers are an essential adjunct to linear algebra. That is why we have the Matlab sessions on Thursdays.
Subject Area  Application 
philosophy  modelling the concept of space (and time) 
physics  laws for elementary particles 
economics  inputoutput analysis (used in planning) 
software  computer graphics 
engineering  Fourier series 
pure math.  approximating curved manifolds 
applied math.  numerical solution of partial differential equations 