Home    Fall 2014 PSets and Exams    Videos    Extras    Archived Psets/Exams    Gradebook    Piazza (Questions) 
Professor:  Alexander Postnikov (office E17428, email apost at math.mit.edu) 
Lectures:  MWF 11 am, in 54100. 
Course coordinator:  Michael Andrews (office E17301B, email mjandr at math.mit.edu) 
Textbook:  Gilbert Strang's, Introduction to Linear Algebra, 4th edition. 
Course Information and Syllabus
Time  Room  Instructor  Office  Office hour (in office unless noted)  

Lec.  MWF 11  54100  A. Postnikov  E17428  apost at math.mit.edu  ??? 
R01  T 9  E17136  Darij Grinberg  E17401S  darij at mit.edu  ??? 
R02  T 10  E17136  Darij Grinberg  E17401S  darij at math.mit.edu  ??? 
R03  T 10  24307  Carlos Sauer Ayala  E18401P  csauer at mit.edu  ??? 
R04  T 11  24307  Carlos Sauer Ayala  E18401P  csauer at math.mit.edu  ??? 
R05  T 12  E17136  Tanya Khovanova  E18420  tanya at math.mit.edu  ??? 
R06  T 1  E17139  Michael Andrews  E17301B  mjandr at math.mit.edu  ??? 
R07  T 2  E17139  Tanya Khovanova  E18420  tanya at math.mit.edu  ??? 
Homework will be posted weekly in the Problem
Sets section of the class website. Assignments will be due on Thursday, BEFORE 4PM.
Please put them in the box for your section in E17131.
Please staple them (you may use the math stapler). They are due every week
except exam weeks and are returned in recitation.
Late homework will not be accepted and no extensions are granted.
However, your lowest homework grade will be dropped.
The homeworks are essential in learning linear algebra. They are not a test and you are encouraged to talk to other students about difficult problemsafter you have found them difficult. Talking about linear algebra is healthy. But you must write your own solutions.
Concerns about homework, grading, exams: see your recitation instructor.
Checking grade records: online at Gradebook.
Changing recitation: online at Membership module.
Julia
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iJulia pages from lectures:
Live (requires iJulia) Static (publicly readable)
Lecture 3: Matmul and Inverses
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(view in browser)
Lecture 4: Gauss Jordan and LU
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(view in browser)
Lecture 6: Symmetric Matrices and Vector Spaces
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(view in browser)